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convergence_best
BayesNet/html/libtorch/include/ATen/TensorOperators.h.gcov.html

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<title>LCOV - coverage.info - libtorch/include/ATen/TensorOperators.h</title>
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<td width="10%" class="headerValue"><a href="../../../index.html">top level</a> - <a href="index.html">libtorch/include/ATen</a> - TensorOperators.h<span style="font-size: 80%;"> (source / <a href="TensorOperators.h.func-c.html">functions</a>)</span></td>
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<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
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<td class="headerItem">Test:</td>
<td class="headerValue">coverage.info</td>
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<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">1</td>
<td class="headerCovTableEntry">1</td>
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<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-30 13:17:26</td>
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<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">8</td>
<td class="headerCovTableEntry">8</td>
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<pre class="sourceHeading"> Line data Source code</pre>
<pre class="source">
<span id="L1"><span class="lineNum"> 1</span> : #pragma once</span>
<span id="L2"><span class="lineNum"> 2</span> : </span>
<span id="L3"><span class="lineNum"> 3</span> : #include &lt;ATen/core/Tensor.h&gt;</span>
<span id="L4"><span class="lineNum"> 4</span> : #include &lt;c10/core/Scalar.h&gt;</span>
<span id="L5"><span class="lineNum"> 5</span> : </span>
<span id="L6"><span class="lineNum"> 6</span> : #ifndef AT_PER_OPERATOR_HEADERS</span>
<span id="L7"><span class="lineNum"> 7</span> : #include &lt;ATen/Functions.h&gt;</span>
<span id="L8"><span class="lineNum"> 8</span> : #else</span>
<span id="L9"><span class="lineNum"> 9</span> : #include &lt;ATen/ops/empty_like.h&gt;</span>
<span id="L10"><span class="lineNum"> 10</span> : #endif</span>
<span id="L11"><span class="lineNum"> 11</span> : </span>
<span id="L12"><span class="lineNum"> 12</span> : #include &lt;stdexcept&gt;</span>
<span id="L13"><span class="lineNum"> 13</span> : #include &lt;string&gt;</span>
<span id="L14"><span class="lineNum"> 14</span> : </span>
<span id="L15"><span class="lineNum"> 15</span> : namespace at {</span>
<span id="L16"><span class="lineNum"> 16</span> : </span>
<span id="L17"><span class="lineNum"> 17</span> : #define AT_FORALL_BINARY_OPS(_) \</span>
<span id="L18"><span class="lineNum"> 18</span> : _(+, x.add(y), y.add(x)) \</span>
<span id="L19"><span class="lineNum"> 19</span> : _(*, x.mul(y), y.mul(x)) \</span>
<span id="L20"><span class="lineNum"> 20</span> : _(-, \</span>
<span id="L21"><span class="lineNum"> 21</span> : x.sub(y), \</span>
<span id="L22"><span class="lineNum"> 22</span> : ::at::empty_like(y, at::MemoryFormat::Preserve).fill_(x).sub_(y)) \</span>
<span id="L23"><span class="lineNum"> 23</span> : _(/, \</span>
<span id="L24"><span class="lineNum"> 24</span> : x.div(y), \</span>
<span id="L25"><span class="lineNum"> 25</span> : ::at::empty_like(y, at::MemoryFormat::Preserve).fill_(x).div_(y)) \</span>
<span id="L26"><span class="lineNum"> 26</span> : _(%, \</span>
<span id="L27"><span class="lineNum"> 27</span> : x.remainder(y), \</span>
<span id="L28"><span class="lineNum"> 28</span> : ::at::empty_like(y, at::MemoryFormat::Preserve).fill_(x).remainder_(y)) \</span>
<span id="L29"><span class="lineNum"> 29</span> : _(&amp;, x.bitwise_and(y), y.bitwise_and(x)) \</span>
<span id="L30"><span class="lineNum"> 30</span> : _(|, x.bitwise_or(y), y.bitwise_or(x)) \</span>
<span id="L31"><span class="lineNum"> 31</span> : _(^, x.bitwise_xor(y), y.bitwise_xor(x)) \</span>
<span id="L32"><span class="lineNum"> 32</span> : _(&lt;, x.lt(y), y.gt(x)) \</span>
<span id="L33"><span class="lineNum"> 33</span> : _(&lt;=, x.le(y), y.ge(x)) \</span>
<span id="L34"><span class="lineNum"> 34</span> : _(&gt;, x.gt(y), y.lt(x)) \</span>
<span id="L35"><span class="lineNum"> 35</span> : _(&gt;=, x.ge(y), y.le(x)) \</span>
<span id="L36"><span class="lineNum"> 36</span> : _(==, x.eq(y), y.eq(x)) \</span>
<span id="L37"><span class="lineNum"> 37</span> : _(!=, x.ne(y), y.ne(x))</span>
<span id="L38"><span class="lineNum"> 38</span> : </span>
<span id="L39"><span class="lineNum"> 39</span> : #define DEFINE_OPERATOR(op, body, reverse_scalar_body) \</span>
<span id="L40"><span class="lineNum"> 40</span> : static inline Tensor operator op(const Tensor&amp; x, const Tensor&amp; y) { \</span>
<span id="L41"><span class="lineNum"> 41</span> : return body; \</span>
<span id="L42"><span class="lineNum"> 42</span> : } \</span>
<span id="L43"><span class="lineNum"> 43</span> : static inline Tensor operator op(const Tensor&amp; x, const Scalar&amp; y) { \</span>
<span id="L44"><span class="lineNum"> 44</span> : return body; \</span>
<span id="L45"><span class="lineNum"> 45</span> : } \</span>
<span id="L46"><span class="lineNum"> 46</span> : static inline Tensor operator op(const Scalar&amp; x, const Tensor&amp; y) { \</span>
<span id="L47"><span class="lineNum"> 47</span> : return reverse_scalar_body; \</span>
<span id="L48"><span class="lineNum"> 48</span> : }</span>
<span id="L49"><span class="lineNum"> 49</span> : </span>
<span id="L50"><span class="lineNum"> 50</span> <span class="tlaGNC tlaBgGNC"> 5196418 : AT_FORALL_BINARY_OPS(DEFINE_OPERATOR)</span></span>
<span id="L51"><span class="lineNum"> 51</span> : #undef DEFINE_OPERATOR</span>
<span id="L52"><span class="lineNum"> 52</span> : #undef AT_FORALL_BINARY_OPS</span>
<span id="L53"><span class="lineNum"> 53</span> : </span>
<span id="L54"><span class="lineNum"> 54</span> : } // namespace at</span>
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