208 lines
22 KiB
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208 lines
22 KiB
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<td width="10%" class="headerValue"><a href="../../../../index.html">top level</a> - <a href="index.html">libtorch/include/ATen/ops</a> - empty.h<span style="font-size: 80%;"> (source / <a href="empty.h.func-c.html">functions</a>)</span></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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<td class="headerValue">coverage.info</td>
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<td class="headerCovTableEntryLo">0.0 %</td>
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<td class="headerCovTableEntry">2</td>
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<td class="headerCovTableEntry">0</td>
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<td class="headerValue">2024-04-30 13:17:26</td>
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<td></td>
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<td class="headerItem">Functions:</td>
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<td class="headerCovTableEntryLo">0.0 %</td>
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<td class="headerCovTableEntry">1</td>
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<td class="headerCovTableEntry">0</td>
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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> : #pragma once</span>
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<span id="L2"><span class="lineNum"> 2</span> : </span>
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<span id="L3"><span class="lineNum"> 3</span> : // @generated by torchgen/gen.py from Function.h</span>
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<span id="L4"><span class="lineNum"> 4</span> : </span>
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<span id="L5"><span class="lineNum"> 5</span> : #include <ATen/Context.h></span>
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<span id="L6"><span class="lineNum"> 6</span> : #include <ATen/DeviceGuard.h></span>
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<span id="L7"><span class="lineNum"> 7</span> : #include <ATen/TensorUtils.h></span>
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<span id="L8"><span class="lineNum"> 8</span> : #include <ATen/TracerMode.h></span>
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<span id="L9"><span class="lineNum"> 9</span> : #include <ATen/core/Generator.h></span>
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<span id="L10"><span class="lineNum"> 10</span> : #include <ATen/core/Reduction.h></span>
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<span id="L11"><span class="lineNum"> 11</span> : #include <ATen/core/Tensor.h></span>
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<span id="L12"><span class="lineNum"> 12</span> : #include <c10/core/Scalar.h></span>
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<span id="L13"><span class="lineNum"> 13</span> : #include <c10/core/Storage.h></span>
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<span id="L14"><span class="lineNum"> 14</span> : #include <c10/core/TensorOptions.h></span>
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<span id="L15"><span class="lineNum"> 15</span> : #include <c10/util/Deprecated.h></span>
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<span id="L16"><span class="lineNum"> 16</span> : #include <c10/util/Optional.h></span>
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<span id="L17"><span class="lineNum"> 17</span> : </span>
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<span id="L18"><span class="lineNum"> 18</span> : </span>
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<span id="L19"><span class="lineNum"> 19</span> : </span>
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<span id="L20"><span class="lineNum"> 20</span> : #include <ATen/ops/empty_ops.h></span>
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<span id="L21"><span class="lineNum"> 21</span> : </span>
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<span id="L22"><span class="lineNum"> 22</span> : namespace at {</span>
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<span id="L23"><span class="lineNum"> 23</span> : </span>
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<span id="L24"><span class="lineNum"> 24</span> : </span>
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<span id="L25"><span class="lineNum"> 25</span> : // aten::empty.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor</span>
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<span id="L26"><span class="lineNum"> 26</span> : inline at::Tensor empty(at::IntArrayRef size, c10::optional<at::DimnameList> names, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {</span>
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<span id="L27"><span class="lineNum"> 27</span> : return at::_ops::empty_names::call(size, names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));</span>
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<span id="L28"><span class="lineNum"> 28</span> : }</span>
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<span id="L29"><span class="lineNum"> 29</span> : // aten::empty.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor</span>
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<span id="L30"><span class="lineNum"> 30</span> : inline at::Tensor empty(at::IntArrayRef size, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) {</span>
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<span id="L31"><span class="lineNum"> 31</span> : return at::_ops::empty_names::call(size, names, dtype, layout, device, pin_memory, memory_format);</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> : </span>
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<span id="L34"><span class="lineNum"> 34</span> : // aten::empty.memory_format(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor</span>
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<span id="L35"><span class="lineNum"> 35</span> <span class="tlaUNC tlaBgUNC"> 0 : inline at::Tensor empty(at::IntArrayRef size, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {</span></span>
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<span id="L36"><span class="lineNum"> 36</span> <span class="tlaUNC"> 0 : return at::_ops::empty_memory_format::call(c10::fromIntArrayRefSlow(size), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));</span></span>
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<span id="L37"><span class="lineNum"> 37</span> : }</span>
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<span id="L38"><span class="lineNum"> 38</span> : namespace symint {</span>
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<span id="L39"><span class="lineNum"> 39</span> : template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>></span>
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<span id="L40"><span class="lineNum"> 40</span> : at::Tensor empty(at::IntArrayRef size, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {</span>
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<span id="L41"><span class="lineNum"> 41</span> : return at::_ops::empty_memory_format::call(c10::fromIntArrayRefSlow(size), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));</span>
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<span id="L42"><span class="lineNum"> 42</span> : }</span>
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<span id="L43"><span class="lineNum"> 43</span> : }</span>
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<span id="L44"><span class="lineNum"> 44</span> : </span>
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<span id="L45"><span class="lineNum"> 45</span> : // aten::empty.memory_format(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor</span>
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<span id="L46"><span class="lineNum"> 46</span> : inline at::Tensor empty(at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) {</span>
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<span id="L47"><span class="lineNum"> 47</span> : return at::_ops::empty_memory_format::call(c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory, memory_format);</span>
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<span id="L48"><span class="lineNum"> 48</span> : }</span>
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<span id="L49"><span class="lineNum"> 49</span> : namespace symint {</span>
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<span id="L50"><span class="lineNum"> 50</span> : template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>></span>
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<span id="L51"><span class="lineNum"> 51</span> : at::Tensor empty(at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) {</span>
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<span id="L52"><span class="lineNum"> 52</span> : return at::_ops::empty_memory_format::call(c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory, memory_format);</span>
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<span id="L53"><span class="lineNum"> 53</span> : }</span>
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<span id="L54"><span class="lineNum"> 54</span> : }</span>
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<span id="L55"><span class="lineNum"> 55</span> : </span>
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<span id="L56"><span class="lineNum"> 56</span> : // aten::empty.memory_format(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor</span>
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<span id="L57"><span class="lineNum"> 57</span> : inline at::Tensor empty_symint(c10::SymIntArrayRef size, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {</span>
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<span id="L58"><span class="lineNum"> 58</span> : return at::_ops::empty_memory_format::call(size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));</span>
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<span id="L59"><span class="lineNum"> 59</span> : }</span>
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<span id="L60"><span class="lineNum"> 60</span> : namespace symint {</span>
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<span id="L61"><span class="lineNum"> 61</span> : template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>></span>
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<span id="L62"><span class="lineNum"> 62</span> : at::Tensor empty(c10::SymIntArrayRef size, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {</span>
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<span id="L63"><span class="lineNum"> 63</span> : return at::_ops::empty_memory_format::call(size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format));</span>
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<span id="L64"><span class="lineNum"> 64</span> : }</span>
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<span id="L65"><span class="lineNum"> 65</span> : }</span>
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<span id="L66"><span class="lineNum"> 66</span> : </span>
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<span id="L67"><span class="lineNum"> 67</span> : // aten::empty.memory_format(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor</span>
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<span id="L68"><span class="lineNum"> 68</span> : inline at::Tensor empty_symint(c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) {</span>
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<span id="L69"><span class="lineNum"> 69</span> : return at::_ops::empty_memory_format::call(size, dtype, layout, device, pin_memory, memory_format);</span>
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<span id="L70"><span class="lineNum"> 70</span> : }</span>
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<span id="L71"><span class="lineNum"> 71</span> : namespace symint {</span>
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<span id="L72"><span class="lineNum"> 72</span> : template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>></span>
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<span id="L73"><span class="lineNum"> 73</span> : at::Tensor empty(c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) {</span>
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<span id="L74"><span class="lineNum"> 74</span> : return at::_ops::empty_memory_format::call(size, dtype, layout, device, pin_memory, memory_format);</span>
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<span id="L75"><span class="lineNum"> 75</span> : }</span>
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<span id="L76"><span class="lineNum"> 76</span> : }</span>
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<span id="L77"><span class="lineNum"> 77</span> : </span>
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<span id="L78"><span class="lineNum"> 78</span> : // aten::empty.out(SymInt[] size, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)</span>
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<span id="L79"><span class="lineNum"> 79</span> : inline at::Tensor & empty_out(at::Tensor & out, at::IntArrayRef size, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {</span>
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<span id="L80"><span class="lineNum"> 80</span> : return at::_ops::empty_out::call(c10::fromIntArrayRefSlow(size), memory_format, out);</span>
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<span id="L81"><span class="lineNum"> 81</span> : }</span>
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<span id="L82"><span class="lineNum"> 82</span> : namespace symint {</span>
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<span id="L83"><span class="lineNum"> 83</span> : template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>></span>
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<span id="L84"><span class="lineNum"> 84</span> : at::Tensor & empty_out(at::Tensor & out, at::IntArrayRef size, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {</span>
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<span id="L85"><span class="lineNum"> 85</span> : return at::_ops::empty_out::call(c10::fromIntArrayRefSlow(size), memory_format, out);</span>
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<span id="L86"><span class="lineNum"> 86</span> : }</span>
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<span id="L87"><span class="lineNum"> 87</span> : }</span>
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<span id="L88"><span class="lineNum"> 88</span> : </span>
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<span id="L89"><span class="lineNum"> 89</span> : // aten::empty.out(SymInt[] size, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)</span>
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<span id="L90"><span class="lineNum"> 90</span> : inline at::Tensor & empty_outf(at::IntArrayRef size, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) {</span>
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<span id="L91"><span class="lineNum"> 91</span> : return at::_ops::empty_out::call(c10::fromIntArrayRefSlow(size), memory_format, out);</span>
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<span id="L92"><span class="lineNum"> 92</span> : }</span>
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<span id="L93"><span class="lineNum"> 93</span> : namespace symint {</span>
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<span id="L94"><span class="lineNum"> 94</span> : template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>></span>
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<span id="L95"><span class="lineNum"> 95</span> : at::Tensor & empty_outf(at::IntArrayRef size, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) {</span>
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<span id="L96"><span class="lineNum"> 96</span> : return at::_ops::empty_out::call(c10::fromIntArrayRefSlow(size), memory_format, out);</span>
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<span id="L97"><span class="lineNum"> 97</span> : }</span>
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<span id="L98"><span class="lineNum"> 98</span> : }</span>
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<span id="L99"><span class="lineNum"> 99</span> : </span>
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<span id="L100"><span class="lineNum"> 100</span> : // aten::empty.out(SymInt[] size, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)</span>
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<span id="L101"><span class="lineNum"> 101</span> : inline at::Tensor & empty_symint_out(at::Tensor & out, c10::SymIntArrayRef size, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {</span>
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<span id="L102"><span class="lineNum"> 102</span> : return at::_ops::empty_out::call(size, memory_format, out);</span>
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<span id="L103"><span class="lineNum"> 103</span> : }</span>
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<span id="L104"><span class="lineNum"> 104</span> : namespace symint {</span>
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<span id="L105"><span class="lineNum"> 105</span> : template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>></span>
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<span id="L106"><span class="lineNum"> 106</span> : at::Tensor & empty_out(at::Tensor & out, c10::SymIntArrayRef size, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {</span>
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<span id="L107"><span class="lineNum"> 107</span> : return at::_ops::empty_out::call(size, memory_format, out);</span>
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<span id="L108"><span class="lineNum"> 108</span> : }</span>
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<span id="L109"><span class="lineNum"> 109</span> : }</span>
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<span id="L110"><span class="lineNum"> 110</span> : </span>
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<span id="L111"><span class="lineNum"> 111</span> : // aten::empty.out(SymInt[] size, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)</span>
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<span id="L112"><span class="lineNum"> 112</span> : inline at::Tensor & empty_symint_outf(c10::SymIntArrayRef size, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) {</span>
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<span id="L113"><span class="lineNum"> 113</span> : return at::_ops::empty_out::call(size, memory_format, out);</span>
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<span id="L114"><span class="lineNum"> 114</span> : }</span>
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<span id="L115"><span class="lineNum"> 115</span> : namespace symint {</span>
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<span id="L116"><span class="lineNum"> 116</span> : template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>></span>
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<span id="L117"><span class="lineNum"> 117</span> : at::Tensor & empty_outf(c10::SymIntArrayRef size, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) {</span>
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<span id="L118"><span class="lineNum"> 118</span> : return at::_ops::empty_out::call(size, memory_format, out);</span>
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<span id="L119"><span class="lineNum"> 119</span> : }</span>
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<span id="L120"><span class="lineNum"> 120</span> : }</span>
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<span id="L121"><span class="lineNum"> 121</span> : </span>
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<span id="L122"><span class="lineNum"> 122</span> : // aten::empty.names_out(int[] size, *, Dimname[]? names, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)</span>
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<span id="L123"><span class="lineNum"> 123</span> : inline at::Tensor & empty_out(at::Tensor & out, at::IntArrayRef size, c10::optional<at::DimnameList> names, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) {</span>
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<span id="L124"><span class="lineNum"> 124</span> : return at::_ops::empty_names_out::call(size, names, memory_format, out);</span>
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<span id="L125"><span class="lineNum"> 125</span> : }</span>
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<span id="L126"><span class="lineNum"> 126</span> : // aten::empty.names_out(int[] size, *, Dimname[]? names, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)</span>
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<span id="L127"><span class="lineNum"> 127</span> : inline at::Tensor & empty_outf(at::IntArrayRef size, c10::optional<at::DimnameList> names, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) {</span>
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<span id="L128"><span class="lineNum"> 128</span> : return at::_ops::empty_names_out::call(size, names, memory_format, out);</span>
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<span id="L129"><span class="lineNum"> 129</span> : }</span>
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<span id="L130"><span class="lineNum"> 130</span> : </span>
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<span id="L131"><span class="lineNum"> 131</span> : }</span>
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</pre>
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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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</table>
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