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| <a href="include_2mxnet_2ndarray_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Licensed to the Apache Software Foundation (ASF) under one</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> * or more contributor license agreements. See the NOTICE file</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * distributed with this work for additional information</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> * regarding copyright ownership. The ASF licenses this file</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * to you under the Apache License, Version 2.0 (the</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * "License"); you may not use this file except in compliance</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * with the License. You may obtain a copy of the License at</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> *</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * http://www.apache.org/licenses/LICENSE-2.0</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> *</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> * Unless required by applicable law or agreed to in writing,</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * software distributed under the License is distributed on an</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> * KIND, either express or implied. See the License for the</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * specific language governing permissions and limitations</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * under the License.</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> */</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#ifndef MXNET_NDARRAY_H_</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define MXNET_NDARRAY_H_</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <<a class="code" href="3rdparty_2dmlc-core_2include_2dmlc_2base_8h.html">dmlc/base.h</a>></span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include <dmlc/logging.h></span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include <<a class="code" href="3rdparty_2dmlc-core_2include_2dmlc_2io_8h.html">dmlc/io.h</a>></span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include <<a class="code" href="type__traits_8h.html">dmlc/type_traits.h</a>></span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include <<a class="code" href="3rdparty_2dmlc-core_2include_2dmlc_2registry_8h.html">dmlc/registry.h</a>></span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include <<a class="code" href="3rdparty_2tvm_2nnvm_2include_2nnvm_2node_8h.html">nnvm/node.h</a>></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include <vector></span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include <map></span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include <algorithm></span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include <memory></span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include <algorithm></span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#if MXNET_USE_MKLDNN == 1</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#include <mkldnn.hpp></span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#include "<a class="code" href="3rdparty_2dmlc-core_2include_2dmlc_2base_8h.html">./base.h</a>"</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#include "<a class="code" href="storage_8h.html">./storage.h</a>"</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="preprocessor">#include "<a class="code" href="engine_8h.html">./engine.h</a>"</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment">// check c++11</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="preprocessor">#if DMLC_USE_CXX11 == 0</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="preprocessor">#error "cxx11 was required for ndarray module"</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="keyword">namespace </span><a class="code" href="namespacemxnet.html">mxnet</a> {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment">// enum for storage types</span></div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1csr.html"> 52</a></span> <span class="keyword">namespace </span>csr {</div><div class="line"><a name="l00053"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1csr.html#a74a2e3877ef7b348d5374a9d604aba42ad9dcbaec1c8c6ca9d69648c83354aac1"> 53</a></span> <span class="keyword">enum</span> <a class="code" href="namespacemxnet_1_1csr.html#a74a2e3877ef7b348d5374a9d604aba42">CSRAuxType</a> {<a class="code" href="namespacemxnet_1_1csr.html#a74a2e3877ef7b348d5374a9d604aba42ad9dcbaec1c8c6ca9d69648c83354aac1">kIndPtr</a>, <a class="code" href="namespacemxnet_1_1csr.html#a74a2e3877ef7b348d5374a9d604aba42aa6ca1dbcb9c5858e0d28237ae3624ed7">kIdx</a>};</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> }</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> </div><div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1rowsparse.html"> 56</a></span> <span class="keyword">namespace </span>rowsparse {</div><div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1rowsparse.html#a0ad4c619684fa4d442c7076c18fef232"> 57</a></span> <span class="keyword">enum</span> <a class="code" href="namespacemxnet_1_1rowsparse.html#a0ad4c619684fa4d442c7076c18fef232">RowSparseAuxType</a> {<a class="code" href="namespacemxnet_1_1csr.html#a74a2e3877ef7b348d5374a9d604aba42aa6ca1dbcb9c5858e0d28237ae3624ed7">kIdx</a>};</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> }</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76a"> 60</a></span> <span class="keyword">enum</span> <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76a">NDArrayStorageType</a> {</div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aadf6c6faf0de1e55119c679180c99e584"> 61</a></span>  <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aadf6c6faf0de1e55119c679180c99e584">kUndefinedStorage</a> = -1, <span class="comment">// undefined storage</span></div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608"> 62</a></span>  <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>, <span class="comment">// dense</span></div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aac095f52c31076adc7207f4a4f17d7aa3"> 63</a></span>  <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aac095f52c31076adc7207f4a4f17d7aa3">kRowSparseStorage</a>, <span class="comment">// row sparse</span></div><div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aa777c7ad3afa566f2e841f12c81aab254"> 64</a></span>  <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aa777c7ad3afa566f2e841f12c81aab254">kCSRStorage</a>, <span class="comment">// csr</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> };</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1a"> 67</a></span> <span class="keyword">enum</span> <a class="code" href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1a">NDArrayFormatErr</a> {</div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1aa322b8b178929b43f1b4b16c8cb9003ef"> 68</a></span>  <a class="code" href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1aa322b8b178929b43f1b4b16c8cb9003ef">kNormalErr</a>, <span class="comment">// normal</span></div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1aaf64429479d4a48998e6cd122a3117628"> 69</a></span>  <a class="code" href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1aaf64429479d4a48998e6cd122a3117628">kCSRShapeErr</a>, <span class="comment">// shape mismatch for csr</span></div><div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1aa11ce5dbb8ad355e9ee5a678f2f51a5bb"> 70</a></span>  <a class="code" href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1aa11ce5dbb8ad355e9ee5a678f2f51a5bb">kCSRIndPtrErr</a>, <span class="comment">// indptr error for csr</span></div><div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1aaf3ee084ba1d9a6203922ff7c9ddb12e3"> 71</a></span>  <a class="code" href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1aaf3ee084ba1d9a6203922ff7c9ddb12e3">kCSRIdxErr</a>, <span class="comment">// idx error for csr</span></div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1aa200492eeec6fa431683ef0d943bfbc2d"> 72</a></span>  <a class="code" href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1aa200492eeec6fa431683ef0d943bfbc2d">kRSPShapeErr</a>, <span class="comment">// shape mismatch for row sparse</span></div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1aa7636cc230df4abe46f3210846faac799"> 73</a></span>  <a class="code" href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1aa7636cc230df4abe46f3210846faac799">kRSPIdxErr</a>, <span class="comment">// indices error for row sparse</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> };</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="keyword">class </span>MKLDNNMemory;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html"> 81</a></span> <span class="keyword">class </span><a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> {</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a12ec978e5dbe9092d21721a657c39756"> 84</a></span>  <a class="code" href="classmxnet_1_1NDArray.html#a12ec978e5dbe9092d21721a657c39756">NDArray</a>()</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  : entry_(nullptr) {</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  }</div><div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a58d6f716d7eebf822c75e841342d9feb"> 94</a></span>  <a class="code" href="classmxnet_1_1NDArray.html#a58d6f716d7eebf822c75e841342d9feb">NDArray</a>(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &shape, <a class="code" href="structmxnet_1_1Context.html">Context</a> ctx,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordtype">bool</span> delay_alloc = <span class="keyword">false</span>, <span class="keywordtype">int</span> dtype = <a class="code" href="namespacemshadow.html#a143ad1a73ba518ef0aad29d36f2569ee">mshadow::default_type_flag</a>)</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  : ptr_(<a class="code" href="namespacestd.html">std</a>::make_shared<Chunk>(shape, ctx, delay_alloc, dtype)),</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  shape_(shape),</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  dtype_(dtype),</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  storage_type_(<a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>),</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  entry_(nullptr) {</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  }</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a>(<span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76a">NDArrayStorageType</a> stype, <span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &shape, <a class="code" href="structmxnet_1_1Context.html">Context</a> ctx,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordtype">bool</span> delay_alloc = <span class="keyword">true</span>, <span class="keywordtype">int</span> dtype = <a class="code" href="namespacemshadow.html#a143ad1a73ba518ef0aad29d36f2569ee">mshadow::default_type_flag</a>,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  std::vector<int> aux_types = {}, <a class="code" href="namespacemxnet.html#a87e1c30aafac389774c6f4d905c0e5ea">mxnet::ShapeVector</a> aux_shapes = {},</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> storage_shape = <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a>(<a class="code" href="namespacemshadow.html#a05e468ef4d8882fccce53ae951b7bdbd">mshadow::Shape1</a>(0)));</div><div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#afbfcf25b4e005007c40300c711c34f69"> 114</a></span>  <span class="keyword">explicit</span> <a class="code" href="classmxnet_1_1NDArray.html#afbfcf25b4e005007c40300c711c34f69">NDArray</a>(<a class="code" href="structmxnet_1_1Context.html">Context</a> ctx, <span class="keywordtype">int</span> dtype = <a class="code" href="namespacemshadow.html#a143ad1a73ba518ef0aad29d36f2569ee">mshadow::default_type_flag</a>)</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  : ptr_(<a class="code" href="namespacestd.html">std</a>::make_shared<Chunk>(<a class="code" href="namespacemxnet.html">mxnet</a>::<a class="code" href="classmxnet_1_1TShape.html">TShape</a>(<a class="code" href="namespacemshadow.html">mshadow</a>::<a class="code" href="namespacemshadow.html#a05e468ef4d8882fccce53ae951b7bdbd">Shape1</a>(0)), ctx, true, dtype)),</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  shape_(),</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  dtype_(dtype),</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  storage_type_(<a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>),</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  entry_(nullptr) {</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  }</div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a1a7288505ac9bbb19830161f7e5c1a6f"> 128</a></span>  <a class="code" href="classmxnet_1_1NDArray.html#a1a7288505ac9bbb19830161f7e5c1a6f">NDArray</a>(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1TBlob.html">TBlob</a> &data, <span class="keywordtype">int</span> dev_id)</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  : ptr_(<a class="code" href="namespacestd.html">std</a>::make_shared<Chunk>(data, dev_id)),</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  shape_(data.shape_),</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  dtype_(data.type_flag_),</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  storage_type_(<a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>),</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  entry_(nullptr) {</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  }</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00144"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#aa2e26d3d53e546a8b5f458c0cc204387"> 144</a></span>  <a class="code" href="classmxnet_1_1NDArray.html#aa2e26d3d53e546a8b5f458c0cc204387">NDArray</a>(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1TBlob.html">TBlob</a> &data, <span class="keywordtype">int</span> dev_id, <span class="keyword">const</span> std::function<<span class="keywordtype">void</span>()>& deleter)</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  : ptr_(new Chunk(data, dev_id), [deleter](Chunk *p) {</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  deleter(); <span class="comment">// call custom deleter</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">delete</span> p; <span class="comment">// delete Chunk object</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  }),</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  shape_(data.<a class="code" href="classmxnet_1_1TBlob.html#af0e813ff066c775051d1f1f78a4a2029">shape_</a>),</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  dtype_(data.<a class="code" href="classmxnet_1_1TBlob.html#a4649b740b80a6045754cb2389cfcca61">type_flag_</a>), storage_type_(<a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>),</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  entry_(<span class="keyword">nullptr</span>) {</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  }</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00155"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#ac5858cd154fbf68f832c2717f4f925e8"> 155</a></span>  <a class="code" href="classmxnet_1_1NDArray.html#ac5858cd154fbf68f832c2717f4f925e8">NDArray</a>(<span class="keywordtype">int</span> shared_pid, <span class="keywordtype">int</span> shared_id, <span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a>& shape, <span class="keywordtype">int</span> dtype)</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  : ptr_(<a class="code" href="namespacestd.html">std</a>::make_shared<Chunk>(shared_pid, shared_id, shape, dtype)),</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  shape_(shape),</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  dtype_(dtype),</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  storage_type_(<a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>),</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  entry_(nullptr) {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  }</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00173"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a3ab28f889680e6aad1b981b378f206d9"> 173</a></span>  <a class="code" href="classmxnet_1_1NDArray.html#a3ab28f889680e6aad1b981b378f206d9">NDArray</a>(<span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76a">NDArrayStorageType</a> stype, <span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &shape,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">const</span> <a class="code" href="classmxnet_1_1TBlob.html">TBlob</a> &data, <span class="keyword">const</span> std::vector<TBlob> &aux_data, <span class="keywordtype">int</span> dev_id)</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  : ptr_(<a class="code" href="namespacestd.html">std</a>::make_shared<Chunk>(stype, data, aux_data, dev_id)),</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  shape_(shape),</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  dtype_(data.type_flag_),</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  storage_type_(stype),</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  entry_(nullptr) {</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  }</div><div class="line"><a name="l00185"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a1e789a9d17c0b15749d247122e9b207a"> 185</a></span>  <span class="keywordtype">void</span> <a class="code" href="classmxnet_1_1NDArray.html#a1e789a9d17c0b15749d247122e9b207a">Init</a>(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &shape) {</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  ptr_->Init(shape, this->dtype_);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  this->shape_ = shape;</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  }</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordtype">void</span> SetShapeFromChunk();</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="comment">/*</span></div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> <span class="comment"> * This indicates whether an array is a view of another array (created by</span></div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> <span class="comment"> * reshape or slice). If an array is a view and the data is stored in</span></div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="comment"> * MKLDNN format, we need to convert the data to the default format when</span></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> <span class="comment"> * data in the view is accessed.</span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> <span class="comment"> */</span></div><div class="line"><a name="l00199"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#afe1e6281a1bc6d0a0f2377d8870fb8f5"> 199</a></span>  <span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="classmxnet_1_1NDArray.html#afe1e6281a1bc6d0a0f2377d8870fb8f5">IsView</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="comment">// View only works on the default storage</span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">if</span> (storage_type() != <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>)</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="comment">// If the array reuses memory, its shape may be different from the storage</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="comment">// shape. However, we shouldn't consider it as a view.</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">if</span> (reuse_)</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordflow">return</span> byte_offset_ > 0 || shape() != ptr_->storage_shape;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  }</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="comment">/* \brief Check whether the two arrays are the same array */</span></div><div class="line"><a name="l00211"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#ab5c172c0f1d77d212790583ba11a3cd2"> 211</a></span>  <span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="classmxnet_1_1NDArray.html#ab5c172c0f1d77d212790583ba11a3cd2">IsSame</a>(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a>& other)<span class="keyword"> const </span>{</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordflow">return</span> ptr_ == other.ptr_ &&</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  shape_ == other.shape_ &&</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  byte_offset_ == other.byte_offset_ &&</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  dtype_ == other.dtype_;</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  }</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00221"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#aa0ff3466e6ff09f8fe0a8019b53d5d42"> 221</a></span>  <span class="keyword">inline</span> <span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a>& <a class="code" href="classmxnet_1_1NDArray.html#aa0ff3466e6ff09f8fe0a8019b53d5d42">shape</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordflow">return</span> shape_;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  }</div><div class="line"><a name="l00229"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#aa30cf4bfe565044616228286b8334931"> 229</a></span>  <span class="keyword">inline</span> <span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &<a class="code" href="classmxnet_1_1NDArray.html#aa30cf4bfe565044616228286b8334931">storage_shape</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  CHECK(ptr_ != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  CHECK_NE(storage_type(), <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>)</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  << <span class="stringliteral">"storage_shape() is not intended for kDefaultStorage."</span>;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordflow">return</span> ptr_->storage_shape;</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  }</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div><div class="line"><a name="l00241"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a7f1d95c104a092be10a22a546e74f836"> 241</a></span>  <span class="keyword">inline</span> <span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a>& <a class="code" href="classmxnet_1_1NDArray.html#a7f1d95c104a092be10a22a546e74f836">aux_shape</a>(<span class="keywordtype">size_t</span> index)<span class="keyword"> const </span>{</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  CHECK_NE(storage_type(), <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>)</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  << <span class="stringliteral">"aux_shape() is not intended for kDefaultStorage."</span>;</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordflow">return</span> ptr_->aux_shapes[index];</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  }</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> </div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="comment">/* \return the shapes of all aux data */</span></div><div class="line"><a name="l00248"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#aa18b9a6db4601e6b96bbe0560abeac98"> 248</a></span>  <span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a87e1c30aafac389774c6f4d905c0e5ea">mxnet::ShapeVector</a>& <a class="code" href="classmxnet_1_1NDArray.html#aa18b9a6db4601e6b96bbe0560abeac98">aux_shapes</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  CHECK_NE(storage_type(), <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>)</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  << <span class="stringliteral">"aux_shapes() is not intended for kDefaultStorage."</span>;</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">return</span> ptr_->aux_shapes;</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  }</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div><div class="line"><a name="l00255"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#aa475e532890ae08c2a63ea2707a5053b"> 255</a></span>  <span class="keyword">const</span> std::vector<int>& <a class="code" href="classmxnet_1_1NDArray.html#aa475e532890ae08c2a63ea2707a5053b">aux_types</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  CHECK_NE(storage_type(), <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>)</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  << <span class="stringliteral">"aux_types() is not intended for kDefaultStorage."</span>;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">return</span> ptr_->aux_types;</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  }</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> </div><div class="line"><a name="l00268"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a245bf6c0b4dd454fa5d5bfb255005221"> 268</a></span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classmxnet_1_1NDArray.html#a245bf6c0b4dd454fa5d5bfb255005221">set_aux_shape</a>(<span class="keywordtype">size_t</span> index, <span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a>& shape)<span class="keyword"> const </span>{</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  CHECK_NE(storage_type(), <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>)</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  << <span class="stringliteral">"set_aux_shape() is not intended for kDefaultStorage."</span>;</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  ptr_->set_aux_shape(index, shape);</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  }</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> </div><div class="line"><a name="l00277"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#ade5c291caf0e240892b1bffaf7e5c8b5"> 277</a></span>  <span class="keyword">inline</span> <span class="keyword">const</span> <a class="code" href="classmxnet_1_1TBlob.html">TBlob</a>& <a class="code" href="classmxnet_1_1NDArray.html#ade5c291caf0e240892b1bffaf7e5c8b5">data</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordflow">if</span> (storage_type() == <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>) CheckAndAlloc();</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  SetTBlob();</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">return</span> tblob_;</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  }</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> grad() <span class="keyword">const</span>;</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00290"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a0bb9681f2b23318ff38566ed71af26a9"> 290</a></span>  <span class="keyword">inline</span> <a class="code" href="classmxnet_1_1TBlob.html">TBlob</a> <a class="code" href="classmxnet_1_1NDArray.html#a0bb9681f2b23318ff38566ed71af26a9">aux_data</a>(<span class="keywordtype">size_t</span> i)<span class="keyword"> const </span>{</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keyword">auto</span> stype = storage_type();</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <a class="code" href="classmxnet_1_1TBlob.html">TBlob</a> res;</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keyword">auto</span> shape = aux_shape(i);</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keyword">auto</span> type = aux_type(i);</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <a class="code" href="3rdparty_2mshadow_2mshadow_2base_8h.html#af67c41c06afea92ccf285ae8501e2316">MSHADOW_TYPE_SWITCH</a>(type, DType, {</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keyword">auto</span> dptr = <span class="keyword">static_cast<</span>DType*<span class="keyword">></span>(ptr_->aux_handles[i].dptr);</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  CHECK(stype == <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aac095f52c31076adc7207f4a4f17d7aa3">kRowSparseStorage</a> || stype == <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aa777c7ad3afa566f2e841f12c81aab254">kCSRStorage</a>)</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  << <span class="stringliteral">"Unexpected storage type: "</span> << stype;</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  res = <a class="code" href="classmxnet_1_1TBlob.html">TBlob</a>(dptr, shape, ptr_->aux_handles[i].ctx.dev_mask(), type);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  });</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">return</span> res;</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  }</div><div class="line"><a name="l00306"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a26d1ddb2bb0ed1e671ce7606498b942d"> 306</a></span>  <span class="keyword">inline</span> <a class="code" href="structmxnet_1_1Context.html">Context</a> <a class="code" href="classmxnet_1_1NDArray.html#a26d1ddb2bb0ed1e671ce7606498b942d">ctx</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  CHECK(!is_none());</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordflow">return</span> ptr_->shandle.ctx;</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  }</div><div class="line"><a name="l00313"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a67b0f8eb36568b4c9fbd3da2a1c4b0a3"> 313</a></span>  <span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="classmxnet_1_1NDArray.html#a67b0f8eb36568b4c9fbd3da2a1c4b0a3">dtype</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">return</span> dtype_;</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  }</div><div class="line"><a name="l00316"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#ac1f24bbdb0013050415ef0542d8273f1"> 316</a></span>  <span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="classmxnet_1_1NDArray.html#ac1f24bbdb0013050415ef0542d8273f1">aux_type</a>(<span class="keywordtype">size_t</span> i)<span class="keyword"> const </span>{</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  CHECK(!is_none());</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keywordflow">return</span> ptr_->aux_types[i];</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  }</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span> </div><div class="line"><a name="l00321"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a67cb416db42a52288bb0a693026a8b97"> 321</a></span>  <span class="keyword">inline</span> <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76a">NDArrayStorageType</a> <a class="code" href="classmxnet_1_1NDArray.html#a67cb416db42a52288bb0a693026a8b97">storage_type</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordflow">return</span> storage_type_;</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  }</div><div class="line"><a name="l00325"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a29673998ea5bec1cab7337595d907c67"> 325</a></span>  <span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="classmxnet_1_1NDArray.html#a29673998ea5bec1cab7337595d907c67">is_none</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keywordflow">return</span> ptr_.get() == <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  }</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keywordtype">bool</span> fresh_out_grad() <span class="keyword">const</span>;</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordtype">void</span> set_fresh_out_grad(<span class="keywordtype">bool</span> state) <span class="keyword">const</span>;</div><div class="line"><a name="l00336"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#ac4ccbd0815226566d65d53229f719222"> 336</a></span>  <span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="classmxnet_1_1NDArray.html#ac4ccbd0815226566d65d53229f719222">storage_initialized</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keywordflow">if</span> (is_none()) <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keyword">auto</span> stype = storage_type();</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  CHECK_NE(stype, <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>)</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  << <span class="stringliteral">"storage_initialized() is not intended for kDefaultStorage."</span>;</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keywordflow">if</span> (stype == <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aac095f52c31076adc7207f4a4f17d7aa3">kRowSparseStorage</a>) {</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  CHECK_EQ(aux_shape(<a class="code" href="namespacemxnet_1_1rowsparse.html#a0ad4c619684fa4d442c7076c18fef232ac52a46037d8cfe90ccc5da8712c7f6da">rowsparse::kIdx</a>)[0], storage_shape()[0])</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  << <span class="stringliteral">"inconsistent storage shape "</span> << storage_shape()</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  << <span class="stringliteral">" vs. aux shape "</span> << aux_shape(<a class="code" href="namespacemxnet_1_1rowsparse.html#a0ad4c619684fa4d442c7076c18fef232ac52a46037d8cfe90ccc5da8712c7f6da">rowsparse::kIdx</a>);</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordflow">return</span> aux_shape(<a class="code" href="namespacemxnet_1_1rowsparse.html#a0ad4c619684fa4d442c7076c18fef232ac52a46037d8cfe90ccc5da8712c7f6da">rowsparse::kIdx</a>).Size() != 0;</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (stype == <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aa777c7ad3afa566f2e841f12c81aab254">kCSRStorage</a>) {</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  CHECK_EQ(aux_shape(<a class="code" href="namespacemxnet_1_1csr.html#a74a2e3877ef7b348d5374a9d604aba42aa6ca1dbcb9c5858e0d28237ae3624ed7">csr::kIdx</a>)[0], storage_shape()[0])</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  << <span class="stringliteral">"inconsistent storage shape "</span> << storage_shape()</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  << <span class="stringliteral">" vs. aux shape "</span> << aux_shape(<a class="code" href="namespacemxnet_1_1csr.html#a74a2e3877ef7b348d5374a9d604aba42aa6ca1dbcb9c5858e0d28237ae3624ed7">csr::kIdx</a>);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordflow">return</span> aux_shape(<a class="code" href="namespacemxnet_1_1csr.html#a74a2e3877ef7b348d5374a9d604aba42aa6ca1dbcb9c5858e0d28237ae3624ed7">csr::kIdx</a>).Size() != 0;</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  LOG(FATAL) << <span class="stringliteral">"Unknown storage type"</span>;</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  }</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  }</div><div class="line"><a name="l00357"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#afbafb6c0712694be87ab034a2eb1639c"> 357</a></span>  <span class="keyword">inline</span> <a class="code" href="structmxnet_1_1Storage_1_1Handle.html">Storage::Handle</a> <a class="code" href="classmxnet_1_1NDArray.html#afbafb6c0712694be87ab034a2eb1639c">storage_handle</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  CHECK(!is_none());</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  CHECK_EQ(storage_type(), <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>);</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  CheckAndAlloc();</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">return</span> ptr_->shandle;</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  }</div><div class="line"><a name="l00367"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a1cf4c49e6925d35586f75a1c9bdb51e4"> 367</a></span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classmxnet_1_1NDArray.html#a1cf4c49e6925d35586f75a1c9bdb51e4">WaitToRead</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keywordflow">if</span> (is_none()) <span class="keywordflow">return</span>;</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <a class="code" href="classmxnet_1_1Engine.html#ae0a23da15ef63d9479c7468e1f2f825f">Engine::Get</a>()-><a class="code" href="classmxnet_1_1Engine.html#aed51bd7f294d9f2b569764a0c151d883">WaitForVar</a>(ptr_->var);</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  }</div><div class="line"><a name="l00375"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#ad8599450a4ba06b5890c5d06bd024d8e"> 375</a></span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classmxnet_1_1NDArray.html#ad8599450a4ba06b5890c5d06bd024d8e">WaitToWrite</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="keywordflow">if</span> (is_none()) <span class="keywordflow">return</span>;</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <a class="code" href="classmxnet_1_1Engine.html#ae0a23da15ef63d9479c7468e1f2f825f">Engine::Get</a>()-><a class="code" href="classmxnet_1_1Engine.html#afbdd4887c046e05aabe9272d0a0953a7">PushAsync</a>(</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  [](<a class="code" href="structmxnet_1_1RunContext.html">RunContext</a>, <a class="code" href="classmxnet_1_1engine_1_1CallbackOnComplete.html">Engine::CallbackOnComplete</a> on_complete) {</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  on_complete();</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  }, <a class="code" href="structmxnet_1_1Context.html">Context</a>{}, {}, {ptr_->var});</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <a class="code" href="classmxnet_1_1Engine.html#ae0a23da15ef63d9479c7468e1f2f825f">Engine::Get</a>()-><a class="code" href="classmxnet_1_1Engine.html#aed51bd7f294d9f2b569764a0c151d883">WaitForVar</a>(ptr_->var);</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  }</div><div class="line"><a name="l00388"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a168da55c01cc5c7a218d975af6b5b1f9"> 388</a></span>  <span class="keyword">inline</span> <a class="code" href="structmxnet_1_1engine_1_1Var.html">Engine::VarHandle</a> <a class="code" href="classmxnet_1_1NDArray.html#a168da55c01cc5c7a218d975af6b5b1f9">var</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="keywordflow">return</span> ptr_->var;</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  }</div><div class="line"><a name="l00392"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a7574bc7633ff7f796bf8a1f2e6e2a392"> 392</a></span>  <span class="keyword">inline</span> <span class="keywordtype">size_t</span> <a class="code" href="classmxnet_1_1NDArray.html#a7574bc7633ff7f796bf8a1f2e6e2a392">byte_offset</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordflow">return</span> byte_offset_;</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  }</div><div class="line"><a name="l00396"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#ab0cd632ca10d91e65734cd8ce558cb08"> 396</a></span>  <span class="keyword">inline</span> <span class="keywordtype">size_t</span> <a class="code" href="classmxnet_1_1NDArray.html#ab0cd632ca10d91e65734cd8ce558cb08">version</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keywordflow">return</span> var()->version();</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  }</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keywordtype">void</span> Save(<a class="code" href="classdmlc_1_1Stream.html">dmlc::Stream</a> *strm) <span class="keyword">const</span>;</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keywordtype">bool</span> LegacyLoad(<a class="code" href="classdmlc_1_1Stream.html">dmlc::Stream</a> *strm, <span class="keyword">const</span> uint32_t magic);</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keywordtype">bool</span> Load(<a class="code" href="classdmlc_1_1Stream.html">dmlc::Stream</a> *strm);</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &operator=(<a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> <a class="code" href="namespacemshadow_1_1expr.html#ac547eb1dceee713542019c2cc6da378b">scalar</a>);</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &operator+=(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &src);</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &operator+=(<span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> &src);</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &operator-=(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &src);</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &operator-=(<span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> &src);</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &operator*=(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &src);</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &operator*=(<span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> &src);</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &operator/=(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &src);</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &operator/=(<span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> &src);</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> <a class="code" href="namespacemshadow.html#a0435f827863555e4ed19bbc0cc81fa39">Copy</a>(<a class="code" href="structmxnet_1_1Context.html">Context</a> ctx) <span class="keyword">const</span>;</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keywordtype">void</span> SyncCopyFromCPU(<span class="keyword">const</span> <span class="keywordtype">void</span> *data, <span class="keywordtype">size_t</span> size) <span class="keyword">const</span>;</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span> </div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keywordtype">void</span> SyncCopyFromNDArray(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &src, <span class="keywordtype">int</span> i = -1, <span class="keywordtype">int</span> j = -1);</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span> </div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordtype">void</span> SyncCopyToCPU(<span class="keywordtype">void</span> *data, <span class="keywordtype">size_t</span> size) <span class="keyword">const</span>;</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keywordtype">void</span> SyncCheckFormat(<span class="keyword">const</span> <span class="keywordtype">bool</span> full_check) <span class="keyword">const</span>;</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> Slice(<a class="code" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">index_t</a> begin, <a class="code" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">index_t</a> end) <span class="keyword">const</span>;</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> SliceWithRecord(<a class="code" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">index_t</a> begin, <a class="code" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">index_t</a> end);</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> At(<a class="code" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">index_t</a> idx) <span class="keyword">const</span>;</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> AtWithRecord(<a class="code" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">index_t</a> idx);</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> aux_ndarray(<span class="keywordtype">size_t</span> i) <span class="keyword">const</span>;</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span> </div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> data_ndarray() <span class="keyword">const</span>;</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span> </div><div class="line"><a name="l00563"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a65b47e2d501a8e623ea70c0ae88b789e"> 563</a></span>  <span class="keyword">inline</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> <a class="code" href="classmxnet_1_1NDArray.html#a65b47e2d501a8e623ea70c0ae88b789e">AsArray</a>(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &shape, <span class="keywordtype">int</span> dtype)<span class="keyword"> const </span>{</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  CHECK_EQ(storage_type(), <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>)</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  << <span class="stringliteral">"AsArray is intended only for kDefaultStorage."</span>;</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  CHECK_GE(ptr_->shandle.size,</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  shape.<a class="code" href="classmxnet_1_1TShape.html#a505a8c1666a7aa7f6e4108b808e6a897">Size</a>() * <a class="code" href="namespacemshadow.html#a2e0671a4ac1729d7f8996ba091f8e07c">mshadow::mshadow_sizeof</a>(dtype))</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  << <span class="stringliteral">"NDArray.AsArray: target memory size is bigger"</span>;</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="comment">// We can't reuse memory in a view.</span></div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  CHECK(!IsView());</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> ret = *<span class="keyword">this</span>;</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  ret.shape_ = shape;</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  ret.dtype_ = dtype;</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  ret.reuse_ = <span class="keyword">true</span>;</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  }</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span> </div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <a class="code" href="structDLManagedTensor.html">DLManagedTensor</a>* ToDLPack() <span class="keyword">const</span>;</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span> </div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keyword">static</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> FromDLPack(<span class="keyword">const</span> <a class="code" href="structDLManagedTensor.html">DLManagedTensor</a>* tensor, <span class="keywordtype">bool</span> transient_handle);</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span> </div><div class="line"><a name="l00605"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a8b390d8776568e2ffc8c2ed227e12f96"> 605</a></span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classmxnet_1_1NDArray.html#a8b390d8776568e2ffc8c2ed227e12f96">SparseUpdateChunk</a>(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &arr)<span class="keyword"> const </span>{</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  CHECK(shape_ == arr.shape_) << <span class="stringliteral">"ndarray shape is different from the target"</span>;</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  CHECK(dtype_ == arr.dtype_) << <span class="stringliteral">"ndarray dtype is different from the target"</span>;</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <span class="keyword">auto</span> stype = arr.<a class="code" href="classmxnet_1_1NDArray.html#a67cb416db42a52288bb0a693026a8b97">storage_type</a>();</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  CHECK(stype == <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aa777c7ad3afa566f2e841f12c81aab254">kCSRStorage</a> || stype == <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aac095f52c31076adc7207f4a4f17d7aa3">kRowSparseStorage</a>)</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  << <span class="stringliteral">"Only to be used with CSR and RSP storage types"</span>;</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <span class="comment">// swap shandles between src and dst</span></div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <a class="code" href="structmxnet_1_1Storage_1_1Handle.html">Storage::Handle</a> shandle_dst = arr.ptr_->shandle;</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  arr.ptr_->shandle = ptr_->shandle;</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  ptr_->shandle = shandle_dst;</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span> </div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  ptr_->storage_shape = arr.ptr_->storage_shape;</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  ptr_->storage_type = arr.ptr_->storage_type;</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  ptr_->ctx = arr.ptr_->ctx;</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span> </div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="comment">// swap aux_handles between src and dst</span></div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="keywordtype">size_t</span> aux_idx = 0;</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  CHECK(ptr_->aux_handles.size() == arr.ptr_->aux_handles.size())</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  << <span class="stringliteral">"ndarray number of aux_handles is different from target"</span>;</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> &aux_handle : arr.ptr_->aux_handles) {</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <a class="code" href="structmxnet_1_1Storage_1_1Handle.html">Storage::Handle</a> aux_dst = ptr_->aux_handles[aux_idx];</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  ptr_->aux_handles[aux_idx] = aux_handle;</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  aux_handle = aux_dst;</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  aux_idx++;</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  }</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  ptr_->aux_types = arr.ptr_->aux_types;</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  ptr_->aux_shapes = arr.ptr_->aux_shapes;</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  }</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span> </div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> Reshape(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &shape) <span class="keyword">const</span>;</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> ReshapeWithRecord(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &shape);</div><div class="line"><a name="l00649"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a76646c5c7e164bd7c81854521d3bee52"> 649</a></span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> <a class="code" href="classmxnet_1_1NDArray.html#a76646c5c7e164bd7c81854521d3bee52">Detach</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> ret(*<span class="keyword">this</span>);</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  ret.entry_ = <a class="code" href="structnnvm_1_1NodeEntry.html">nnvm::NodeEntry</a>(<span class="keyword">nullptr</span>);</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  }</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span> </div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  <a class="code" href="classnnvm_1_1Symbol.html">nnvm::Symbol</a> get_autograd_symbol() <span class="keyword">const</span>;</div><div class="line"><a name="l00660"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a531a3437dde0dfc9b0c40a32450f4c7a"> 660</a></span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classmxnet_1_1NDArray.html#a531a3437dde0dfc9b0c40a32450f4c7a">CheckAndAlloc</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  CHECK_EQ(storage_type(), <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>);</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  ptr_->CheckAndAlloc();</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  }</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span> </div><div class="line"><a name="l00674"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#aa99f425040db90b52f945007a2f11b73"> 674</a></span>  <span class="keywordtype">void</span> <a class="code" href="classmxnet_1_1NDArray.html#aa99f425040db90b52f945007a2f11b73">ReshapeAndAlloc</a>(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a>& shape) {</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  CHECK_EQ(storage_type(), <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>);</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  CHECK(!is_none());</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  shape_ = shape;</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  ptr_->CheckAndAlloc(shape.<a class="code" href="classmxnet_1_1TShape.html#a505a8c1666a7aa7f6e4108b808e6a897">Size</a>() * <a class="code" href="namespacemshadow.html#a2e0671a4ac1729d7f8996ba091f8e07c">mshadow::mshadow_sizeof</a>(dtype_));</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  }</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span> </div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  <span class="comment">/* !</span></div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span> <span class="comment"> * \brief Alloc memory for non-default storage</span></div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span> <span class="comment"> * aux_shape is only known at run time</span></div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span> <span class="comment"> */</span></div><div class="line"><a name="l00685"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#a5fbabba18b71e4ad61fee8da1a05a275"> 685</a></span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classmxnet_1_1NDArray.html#a5fbabba18b71e4ad61fee8da1a05a275">CheckAndAlloc</a>(<span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a87e1c30aafac389774c6f4d905c0e5ea">mxnet::ShapeVector</a> &aux_shapes)<span class="keyword"> const </span>{</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  CHECK_NE(storage_type(), <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>)</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  << <span class="stringliteral">"CheckAndAlloc(aux_shapes) is not intended for kDefaultStorage"</span>;</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  ptr_->CheckAndAlloc(shape_, aux_shapes, dtype_);</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  }</div><div class="line"><a name="l00690"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#aba6fd4c790a1857c080321572b61546c"> 690</a></span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classmxnet_1_1NDArray.html#aba6fd4c790a1857c080321572b61546c">CheckAndAllocData</a>(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &storage_shape)<span class="keyword"> const </span>{</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  CHECK_NE(storage_type(), <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>)</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  << <span class="stringliteral">"CheckAndAllocData is not intended for kDefaultStorage"</span>;</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  ptr_->CheckAndAllocData(storage_shape, dtype_);</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  }</div><div class="line"><a name="l00695"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#aa49fb5edddbf0d9ca38e8c2130e3ca88"> 695</a></span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classmxnet_1_1NDArray.html#aa49fb5edddbf0d9ca38e8c2130e3ca88">CheckAndAllocAuxData</a>(<span class="keywordtype">size_t</span> i, <span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &aux_shape)<span class="keyword"> const </span>{</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  CHECK_NE(storage_type(), <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>)</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  << <span class="stringliteral">"CheckAndAllocAuxData is not intended for kDefaultStorage"</span>;</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  ptr_->CheckAndAllocAuxData(i, aux_shape);</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  }</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span> </div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span> <span class="preprocessor">#if MXNET_USE_MKLDNN == 1</span></div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <span class="comment">/*</span></div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span> <span class="comment"> * Create NDArray from mkldnn memory.</span></div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span> <span class="comment"> * mkldnn_mem The mkldnn memory to be managed.</span></div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span> <span class="comment"> */</span></div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  <span class="keyword">explicit</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a>(<span class="keyword">const</span> std::shared_ptr<mkldnn::memory> &mkldnn_mem);</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  <span class="comment">/*</span></div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span> <span class="comment"> * Create NDArray from mkldnn memory descriptor.</span></div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span> <span class="comment"> * mem_pd The mkldnn memory descriptor to be created.</span></div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span> <span class="comment"> */</span></div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  <span class="keyword">explicit</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a>(<span class="keyword">const</span> mkldnn::memory::desc &md);</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  <span class="comment">/*</span></div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span> <span class="comment"> * Test if the data is stored in one of special MKLDNN format.</span></div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span> <span class="comment"> */</span></div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <span class="keywordtype">bool</span> IsMKLDNNData()<span class="keyword"> const </span>{</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  <span class="keywordflow">return</span> ptr_->IsMKLDNN();</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  }</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  <span class="comment">/*</span></div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span> <span class="comment"> * Test if the data is stored in one of default MXNet formats.</span></div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span> <span class="comment"> */</span></div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  <span class="keywordtype">bool</span> IsDefaultData()<span class="keyword"> const </span>{</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  <span class="keywordflow">return</span> ptr_->IsDefault();</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  }</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  <span class="comment">/*</span></div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span> <span class="comment"> * All functions below return a raw pointer to mkldnn memory. Actually there</span></div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span> <span class="comment"> * is a shared pointer that hold the memory either in NDArray or in MKLDNN</span></div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span> <span class="comment"> * stream. As long as we call these functions inside an operator, the return</span></div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span> <span class="comment"> * memory is always valid.</span></div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span> <span class="comment"> */</span></div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span> </div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  <span class="comment">/*</span></div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span> <span class="comment"> * This function returns mkldnn::memory with the default primitive_desc.</span></div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span> <span class="comment"> */</span></div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <span class="keyword">const</span> mkldnn::memory *GetMKLDNNData() <span class="keyword">const</span>;</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  <span class="comment">/*</span></div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span> <span class="comment"> * This function returns mkldnn::memory with the given primitive_desc</span></div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span> <span class="comment"> * as long as the array size meets the required size in the given primitive_desc.</span></div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span> <span class="comment"> */</span></div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  <span class="keyword">const</span> mkldnn::memory *GetMKLDNNData(<span class="keyword">const</span> mkldnn::memory::desc &md) <span class="keyword">const</span>;</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  <span class="comment">/*</span></div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span> <span class="comment"> * This function returns mkldnn::memory with the given primitive_desc.</span></div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span> <span class="comment"> * The returned mkldnn::memory will have the same physical layout as</span></div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span> <span class="comment"> * the given primitive_desc.</span></div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span> <span class="comment"> */</span></div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  <span class="keyword">const</span> mkldnn::memory *GetMKLDNNDataReorder(</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  <span class="keyword">const</span> mkldnn::memory::desc &md) <span class="keyword">const</span>;</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span> </div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  <span class="comment">/*</span></div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span> <span class="comment"> * This function copies data from mkldnn memory.</span></div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span> <span class="comment"> */</span></div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  <span class="keywordtype">void</span> CopyFrom(<span class="keyword">const</span> mkldnn::memory &mem);</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  <span class="comment">/*</span></div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span> <span class="comment"> * This function allocates memory for array and creates mkldnn memory</span></div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span> <span class="comment"> * with the specified format.</span></div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span> <span class="comment"> */</span></div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  mkldnn::memory *CreateMKLDNNData(<span class="keyword">const</span> mkldnn::memory::desc &md);</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span> </div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <span class="comment">/*</span></div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span> <span class="comment"> * These are the async version of the methods above.</span></div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span> <span class="comment"> * It changes the layout of this NDArray, but it happens after all accesses to</span></div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span> <span class="comment"> * the array are complete.</span></div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span> <span class="comment"> */</span></div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  <span class="keywordtype">void</span> Reorder2DefaultAsync() <span class="keyword">const</span>;</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  <span class="keywordtype">void</span> MKLDNNDataReorderAsync(<span class="keyword">const</span> mkldnn::memory::desc &md) <span class="keyword">const</span>;</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span> </div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  <span class="comment">/*</span></div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span> <span class="comment"> * This creates a new NDArray with the reordered data.</span></div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span> <span class="comment"> * It doesn't affect the data of the original NDArray.</span></div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span> <span class="comment"> */</span></div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> Reorder2Default() <span class="keyword">const</span>;</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span> </div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  <span class="comment">/*</span></div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span> <span class="comment"> * This creates a new NDArray using f32 with the reordered data.</span></div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span> <span class="comment"> * It doesn't affect the data of the original NDArray.</span></div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span> <span class="comment"> */</span></div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> Reorder2DefaultFloatFormat() <span class="keyword">const</span>;</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span> </div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  <span class="keywordtype">void</span> InvalidateMKLDNNData();</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span> </div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  <span class="comment">/*</span></div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span> <span class="comment"> * This function is used inside operators to reshape an array.</span></div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span> <span class="comment"> * It doesn't change the layout of the original array and allocate memory from</span></div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span> <span class="comment"> * the temporary buffer. The returned array is only valid inside the current</span></div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span> <span class="comment"> * invocation of this operator.</span></div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span> <span class="comment"> * This is different from Reshape. Reshape will cause data in the array to be</span></div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span> <span class="comment"> * converted to the default layout and allocate memory from malloc directly,</span></div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span> <span class="comment"> * which can be expensive.</span></div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span> <span class="comment"> * It's used by FullyConnected right now.</span></div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span> <span class="comment"> */</span></div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> MKLDNNDataReshape(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &shape) <span class="keyword">const</span>;</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span> </div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  <span class="keywordtype">void</span> UpdateMKLDNNMemDesc(<span class="keyword">const</span> mkldnn::memory::desc &desc);</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span> </div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> Save(<a class="code" href="classdmlc_1_1Stream.html">dmlc::Stream</a>* fo,</div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  <span class="keyword">const</span> std::vector<NDArray>& data,</div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  <span class="keyword">const</span> std::vector<std::string>& names);</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> Load(<a class="code" href="classdmlc_1_1Stream.html">dmlc::Stream</a>* fi,</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  std::vector<NDArray>* data,</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  std::vector<std::string>* keys);</div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span> </div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00818"></a><span class="lineno"><a class="line" href="classmxnet_1_1NDArray.html#add286ab9a359eb017008c9a3ff53701f"> 818</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classmxnet_1_1Imperative.html">Imperative</a>;</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  <span class="comment">// shandle is used to store the actual values in the NDArray</span></div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  <span class="comment">// aux_handles store the aux data(such as indices) if it's needed by non-default storage.</span></div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  <span class="keyword">struct </span>Chunk {</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  <a class="code" href="structmxnet_1_1Storage_1_1Handle.html">Storage::Handle</a> shandle;</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  std::vector<Storage::Handle> aux_handles;</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span> </div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span> <span class="preprocessor">#if MXNET_USE_MKLDNN == 1</span></div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span> </div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  std::shared_ptr<MKLDNNMemory> mkl_mem_;</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span> </div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  <a class="code" href="structmxnet_1_1engine_1_1Var.html">Engine::VarHandle</a> var;</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  <span class="keywordtype">bool</span> static_data;</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  <span class="keywordtype">bool</span> delay_alloc;</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  <span class="comment">// the type of the storage. The storage_type is never kUndefinedStorage once the chunk</span></div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  <span class="comment">// is constructed.</span></div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76a">NDArrayStorageType</a> storage_type = <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>;</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  std::vector<int> aux_types;</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  <span class="comment">// context of data</span></div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  <a class="code" href="structmxnet_1_1Context.html">Context</a> ctx;</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  <span class="comment">// The shape of the chunk data.</span></div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  <span class="comment">// This might not be the same shape as the NDArray, since the storage may be sparse.</span></div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  <span class="comment">// The default value for storage_shape is {0} when an empty non-default NDArray is created.</span></div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> storage_shape;</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  <span class="comment">// The shape of aux data. The default value for the shape depends on the type of storage.</span></div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  <span class="comment">// If aux_shapes[i].Size() is zero, aux data i is empty.</span></div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  <a class="code" href="namespacemxnet.html#a87e1c30aafac389774c6f4d905c0e5ea">mxnet::ShapeVector</a> aux_shapes;</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  std::shared_ptr<Storage> storage_ref_;</div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  std::weak_ptr<Engine> engine_ref_;</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span> </div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span> </div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  Chunk() : static_data(true), delay_alloc(false),</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  storage_ref_(<a class="code" href="classmxnet_1_1Storage.html">Storage</a>::_GetSharedRef()),</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  engine_ref_(<a class="code" href="classmxnet_1_1Engine.html">Engine</a>::_GetSharedRef()) {}</div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span> </div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  Chunk(<a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> shape, <a class="code" href="structmxnet_1_1Context.html">Context</a> ctx_, <span class="keywordtype">bool</span> delay_alloc_, <span class="keywordtype">int</span> dtype)</div><div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  : static_data(false), delay_alloc(true), ctx(ctx_),</div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  storage_ref_(<a class="code" href="classmxnet_1_1Storage.html">Storage</a>::_GetSharedRef()),</div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  engine_ref_(<a class="code" href="classmxnet_1_1Engine.html">Engine</a>::_GetSharedRef()) {</div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span>  storage_shape = shape;</div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacemxnet.html#a6c29d398f4166fdc0f95f63ce0ef66ee">shape_is_known</a>(storage_shape)) {</div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ab93b9db0c83e4ef3803fb587377a74a0">size</a> = shape.<a class="code" href="classmxnet_1_1TShape.html#a505a8c1666a7aa7f6e4108b808e6a897">Size</a>() * <a class="code" href="namespacemshadow.html#a2e0671a4ac1729d7f8996ba091f8e07c">mshadow::mshadow_sizeof</a>(dtype);</div><div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  }</div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  var = <a class="code" href="classmxnet_1_1Engine.html#ae0a23da15ef63d9479c7468e1f2f825f">Engine::Get</a>()-><a class="code" href="classmxnet_1_1Engine.html#a6e141b188f018d5d933ab99868631d5e">NewVariable</a>();</div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ae0a4202582aa12a598f5c55ef51ad4c8">ctx</a> = ctx_;</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  <span class="keywordflow">if</span> (!delay_alloc_) {</div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  this->CheckAndAlloc();</div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  }</div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  }</div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span> </div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  Chunk(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1TBlob.html">TBlob</a> &data, <span class="keywordtype">int</span> dev_id)</div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  : static_data(true), delay_alloc(false),</div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  storage_ref_(<a class="code" href="classmxnet_1_1Storage.html">Storage</a>::_GetSharedRef()),</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  engine_ref_(<a class="code" href="classmxnet_1_1Engine.html">Engine</a>::_GetSharedRef()) {</div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  CHECK(storage_type == <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>);</div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  var = <a class="code" href="classmxnet_1_1Engine.html#ae0a23da15ef63d9479c7468e1f2f825f">Engine::Get</a>()-><a class="code" href="classmxnet_1_1Engine.html#a6e141b188f018d5d933ab99868631d5e">NewVariable</a>();</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  <span class="keywordflow">if</span> (data.<a class="code" href="classmxnet_1_1TBlob.html#ad8bcf56e13082fc0607e21f08b14758f">dev_mask</a>() == <a class="code" href="structmshadow_1_1cpu.html#a57f74b500825e21c0c246ad5b4e5016b">cpu::kDevMask</a>) {</div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  ctx = <a class="code" href="structmxnet_1_1Context.html#a4bb231d70623fde216de51589347e513">Context::CPU</a>();</div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  CHECK_EQ(data.<a class="code" href="classmxnet_1_1TBlob.html#ad8bcf56e13082fc0607e21f08b14758f">dev_mask</a>(), <a class="code" href="structmshadow_1_1gpu.html#a15467f39ddeed96fa259efda7c988f05">gpu::kDevMask</a>);</div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  ctx = <a class="code" href="structmxnet_1_1Context.html#a39d1a2b59bce135da127475995a58671">Context::GPU</a>(dev_id);</div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  }</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  <span class="comment">// init shandle</span></div><div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ae0a4202582aa12a598f5c55ef51ad4c8">ctx</a> = ctx;</div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#a428e25a6317e50c8b55307c96f8ec595">dptr</a> = data.<a class="code" href="classmxnet_1_1TBlob.html#a4e5f4953be2c16724ecff0afc5ea2e10">dptr_</a>;</div><div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ab93b9db0c83e4ef3803fb587377a74a0">size</a> = data.<a class="code" href="classmxnet_1_1TBlob.html#af0e813ff066c775051d1f1f78a4a2029">shape_</a>.<a class="code" href="classmxnet_1_1TShape.html#a505a8c1666a7aa7f6e4108b808e6a897">Size</a>() * <a class="code" href="namespacemshadow.html#a2e0671a4ac1729d7f8996ba091f8e07c">mshadow::mshadow_sizeof</a>(data.<a class="code" href="classmxnet_1_1TBlob.html#a4649b740b80a6045754cb2389cfcca61">type_flag_</a>);</div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  storage_shape = data.<a class="code" href="classmxnet_1_1TBlob.html#af0e813ff066c775051d1f1f78a4a2029">shape_</a>;</div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  }</div><div class="line"><a name="l00908"></a><span class="lineno"> 908</span> </div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  Chunk(<span class="keywordtype">int</span> shared_pid, <span class="keywordtype">int</span> shared_id, <span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a>& shape, <span class="keywordtype">int</span> dtype)</div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  : static_data(false), delay_alloc(false),</div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  storage_ref_(<a class="code" href="classmxnet_1_1Storage.html">Storage</a>::_GetSharedRef()),</div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  engine_ref_(<a class="code" href="classmxnet_1_1Engine.html">Engine</a>::_GetSharedRef()) {</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  var = <a class="code" href="classmxnet_1_1Engine.html#ae0a23da15ef63d9479c7468e1f2f825f">Engine::Get</a>()-><a class="code" href="classmxnet_1_1Engine.html#a6e141b188f018d5d933ab99868631d5e">NewVariable</a>();</div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  ctx = <a class="code" href="structmxnet_1_1Context.html#a8e090b1fcc96b682512bcc22fc521f80">Context::CPUShared</a>(0);</div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ab93b9db0c83e4ef3803fb587377a74a0">size</a> = shape.<a class="code" href="classmxnet_1_1TShape.html#a505a8c1666a7aa7f6e4108b808e6a897">Size</a>() * <a class="code" href="namespacemshadow.html#a2e0671a4ac1729d7f8996ba091f8e07c">mshadow::mshadow_sizeof</a>(dtype);</div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ae0a4202582aa12a598f5c55ef51ad4c8">ctx</a> = ctx;</div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ac92111bc6d73d7402331615506684b74">shared_pid</a> = shared_pid;</div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ad938f8d0ddba567350ee7b3aae14b4c1">shared_id</a> = shared_id;</div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  <a class="code" href="classmxnet_1_1Storage.html#a96abc072908d72d3271360a7e3e4bbc2">Storage::Get</a>()-><a class="code" href="classmxnet_1_1Storage.html#a8ac978f345ba93f26b11ae4331406561">Alloc</a>(&shandle);</div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  storage_shape = shape;</div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  }</div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  <span class="comment">// Constructor for a non-default storage chunk</span></div><div class="line"><a name="l00923"></a><span class="lineno"> 923</span>  Chunk(<a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76a">NDArrayStorageType</a> storage_type_, <span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &storage_shape_, <a class="code" href="structmxnet_1_1Context.html">Context</a> ctx_,</div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  <span class="keywordtype">bool</span> delay_alloc_, <span class="keywordtype">int</span> dtype, <span class="keyword">const</span> std::vector<int> &aux_types_,</div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span>  <span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a87e1c30aafac389774c6f4d905c0e5ea">mxnet::ShapeVector</a> &aux_shapes_)</div><div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  : static_data(false), delay_alloc(delay_alloc_), storage_type(storage_type_),</div><div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  aux_types(aux_types_), ctx(ctx_), storage_shape(storage_shape_),</div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  aux_shapes(aux_shapes_), storage_ref_(<a class="code" href="classmxnet_1_1Storage.html">Storage</a>::_GetSharedRef()),</div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  engine_ref_(<a class="code" href="classmxnet_1_1Engine.html">Engine</a>::_GetSharedRef()) {</div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ae0a4202582aa12a598f5c55ef51ad4c8">ctx</a> = ctx;</div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  var = <a class="code" href="classmxnet_1_1Engine.html#ae0a23da15ef63d9479c7468e1f2f825f">Engine::Get</a>()-><a class="code" href="classmxnet_1_1Engine.html#a6e141b188f018d5d933ab99868631d5e">NewVariable</a>();</div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  <span class="comment">// aux_handles always reflect the correct number of aux data</span></div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < aux_shapes.size(); i++) {</div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  CheckAndAllocAuxData(i, aux_shapes[i]);</div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  <span class="comment">// this line is needed in case when aux_shapes[i].Size() = 0</span></div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  <span class="comment">// aux_handles[i] will not be updated and take only default value.</span></div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span>  aux_handles[i].ctx = ctx;</div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  }</div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  <span class="keywordflow">if</span> (!delay_alloc) {</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  CheckAndAllocData(storage_shape, dtype);</div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span>  }</div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span>  }</div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span> </div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  Chunk(<span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76a">NDArrayStorageType</a> storage_type_, <span class="keyword">const</span> <a class="code" href="classmxnet_1_1TBlob.html">TBlob</a> &data,</div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  <span class="keyword">const</span> std::vector<TBlob> &aux_data, <span class="keywordtype">int</span> dev_id)</div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  : static_data(true), delay_alloc(false), storage_type(storage_type_),</div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  storage_ref_(<a class="code" href="classmxnet_1_1Storage.html">Storage</a>::_GetSharedRef()), engine_ref_(<a class="code" href="classmxnet_1_1Engine.html">Engine</a>::_GetSharedRef()) {</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  <span class="keyword">using namespace </span><a class="code" href="namespacemshadow.html">mshadow</a>;</div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span>  CHECK_NE(storage_type, <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>);</div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span>  <span class="comment">// init var</span></div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  var = <a class="code" href="classmxnet_1_1Engine.html#ae0a23da15ef63d9479c7468e1f2f825f">Engine::Get</a>()-><a class="code" href="classmxnet_1_1Engine.html#a6e141b188f018d5d933ab99868631d5e">NewVariable</a>();</div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  <span class="comment">// init ctx</span></div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  <span class="keywordflow">if</span> (data.<a class="code" href="classmxnet_1_1TBlob.html#ad8bcf56e13082fc0607e21f08b14758f">dev_mask</a>() == <a class="code" href="structmshadow_1_1cpu.html#a57f74b500825e21c0c246ad5b4e5016b">cpu::kDevMask</a>) {</div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  ctx = <a class="code" href="structmxnet_1_1Context.html#a4bb231d70623fde216de51589347e513">Context::CPU</a>();</div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  CHECK_EQ(data.<a class="code" href="classmxnet_1_1TBlob.html#ad8bcf56e13082fc0607e21f08b14758f">dev_mask</a>(), <a class="code" href="structmshadow_1_1gpu.html#a15467f39ddeed96fa259efda7c988f05">gpu::kDevMask</a>);</div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  ctx = <a class="code" href="structmxnet_1_1Context.html#a39d1a2b59bce135da127475995a58671">Context::GPU</a>(dev_id);</div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  }</div><div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  <span class="comment">// init shandle</span></div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ae0a4202582aa12a598f5c55ef51ad4c8">ctx</a> = ctx;</div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#a428e25a6317e50c8b55307c96f8ec595">dptr</a> = data.<a class="code" href="classmxnet_1_1TBlob.html#a4e5f4953be2c16724ecff0afc5ea2e10">dptr_</a>;</div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ab93b9db0c83e4ef3803fb587377a74a0">size</a> = data.<a class="code" href="classmxnet_1_1TBlob.html#af0e813ff066c775051d1f1f78a4a2029">shape_</a>.<a class="code" href="classmxnet_1_1TShape.html#a505a8c1666a7aa7f6e4108b808e6a897">Size</a>() * <a class="code" href="namespacemshadow.html#a2e0671a4ac1729d7f8996ba091f8e07c">mshadow_sizeof</a>(data.<a class="code" href="classmxnet_1_1TBlob.html#a4649b740b80a6045754cb2389cfcca61">type_flag_</a>);</div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  storage_shape = data.<a class="code" href="classmxnet_1_1TBlob.html#af0e813ff066c775051d1f1f78a4a2029">shape_</a>;</div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  <span class="comment">// init aux handles</span></div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> &aux : aux_data) {</div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  <a class="code" href="structmxnet_1_1Storage_1_1Handle.html">Storage::Handle</a> aux_handle;</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  aux_handle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ae0a4202582aa12a598f5c55ef51ad4c8">ctx</a> = ctx;</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  aux_handle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#a428e25a6317e50c8b55307c96f8ec595">dptr</a> = aux.dptr_;</div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  aux_handle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ab93b9db0c83e4ef3803fb587377a74a0">size</a> = aux.shape_.Size() * <a class="code" href="namespacemshadow.html#a2e0671a4ac1729d7f8996ba091f8e07c">mshadow_sizeof</a>(aux.type_flag_);</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  aux_handles.push_back(aux_handle);</div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  aux_types.emplace_back(aux.type_flag_);</div><div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  aux_shapes.emplace_back(aux.shape_);</div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  }</div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  }</div><div class="line"><a name="l00975"></a><span class="lineno"> 975</span> </div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> set_aux_shape(<span class="keyword">const</span> <span class="keywordtype">size_t</span> i, <span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a>& shape) {</div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span>  aux_shapes[i] = shape;</div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  <span class="keywordflow">if</span> (storage_shape.<a class="code" href="classmxnet_1_1Tuple.html#a6e0bdfe3f0f34693223f657ef676bef6">ndim</a>() >= 0) {</div><div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  <span class="keywordflow">if</span> (storage_type == <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aac095f52c31076adc7207f4a4f17d7aa3">kRowSparseStorage</a> && i == <a class="code" href="namespacemxnet_1_1rowsparse.html#a0ad4c619684fa4d442c7076c18fef232ac52a46037d8cfe90ccc5da8712c7f6da">rowsparse::kIdx</a>) {</div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  storage_shape[0] = shape[0];</div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (storage_type == <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aa777c7ad3afa566f2e841f12c81aab254">kCSRStorage</a> && i == <a class="code" href="namespacemxnet_1_1csr.html#a74a2e3877ef7b348d5374a9d604aba42aa6ca1dbcb9c5858e0d28237ae3624ed7">csr::kIdx</a>) {</div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  storage_shape[0] = shape[0];</div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span>  }</div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  }</div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  }</div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span> </div><div class="line"><a name="l00989"></a><span class="lineno"> 989</span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> CheckAndAlloc(<span class="keywordtype">void</span>) {</div><div class="line"><a name="l00990"></a><span class="lineno"> 990</span>  <span class="keywordflow">if</span> (delay_alloc) {</div><div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  shandle = <a class="code" href="classmxnet_1_1Storage.html#a96abc072908d72d3271360a7e3e4bbc2">Storage::Get</a>()-><a class="code" href="classmxnet_1_1Storage.html#a8ac978f345ba93f26b11ae4331406561">Alloc</a>(shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ab93b9db0c83e4ef3803fb587377a74a0">size</a>, shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ae0a4202582aa12a598f5c55ef51ad4c8">ctx</a>);</div><div class="line"><a name="l00992"></a><span class="lineno"> 992</span> <span class="preprocessor">#if MXNET_USE_MKLDNN == 1</span></div><div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  mkl_mem_ = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00995"></a><span class="lineno"> 995</span>  delay_alloc = <span class="keyword">false</span>;</div><div class="line"><a name="l00996"></a><span class="lineno"> 996</span>  }</div><div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  }</div><div class="line"><a name="l00998"></a><span class="lineno"> 998</span> </div><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  <span class="comment">// size is the number of bytes</span></div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  <span class="keywordtype">void</span> CheckAndAlloc(uint64_t dbytes) {</div><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  CHECK_EQ(<a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>, storage_type)</div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  << <span class="stringliteral">"CheckAndAlloc(dbytes) is only intended for kDefaultStorage"</span>;</div><div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  dbytes = std::max(dbytes, static_cast<uint64_t>(shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ab93b9db0c83e4ef3803fb587377a74a0">size</a>));</div><div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  <span class="keywordflow">if</span> (delay_alloc) {</div><div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  shandle = <a class="code" href="classmxnet_1_1Storage.html#a96abc072908d72d3271360a7e3e4bbc2">Storage::Get</a>()-><a class="code" href="classmxnet_1_1Storage.html#a8ac978f345ba93f26b11ae4331406561">Alloc</a>(dbytes, shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ae0a4202582aa12a598f5c55ef51ad4c8">ctx</a>);</div><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span> <span class="preprocessor">#if MXNET_USE_MKLDNN == 1</span></div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  mkl_mem_ = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  delay_alloc = <span class="keyword">false</span>;</div><div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ab93b9db0c83e4ef3803fb587377a74a0">size</a> < dbytes) {</div><div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>  <span class="comment">// free storage</span></div><div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  <a class="code" href="classmxnet_1_1Storage.html#a96abc072908d72d3271360a7e3e4bbc2">Storage::Get</a>()-><a class="code" href="classmxnet_1_1Storage.html#a5bdbd7b3ab712cd9e087ab007bdc64dd">Free</a>(shandle);</div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <span class="comment">// init storage</span></div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  shandle = <a class="code" href="classmxnet_1_1Storage.html#a96abc072908d72d3271360a7e3e4bbc2">Storage::Get</a>()-><a class="code" href="classmxnet_1_1Storage.html#a8ac978f345ba93f26b11ae4331406561">Alloc</a>(dbytes, shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ae0a4202582aa12a598f5c55ef51ad4c8">ctx</a>);</div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span> <span class="preprocessor">#if MXNET_USE_MKLDNN == 1</span></div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  mkl_mem_ = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  }</div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  }</div><div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  <span class="keywordtype">void</span> Init(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &shape, <span class="keywordtype">int</span> dtype) {</div><div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  <span class="keyword">auto</span> size = shape.<a class="code" href="classmxnet_1_1TShape.html#a505a8c1666a7aa7f6e4108b808e6a897">Size</a>();</div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  storage_shape = shape;</div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  shandle.<a class="code" href="structmxnet_1_1Storage_1_1Handle.html#ab93b9db0c83e4ef3803fb587377a74a0">size</a> = size * <a class="code" href="namespacemshadow.html#a2e0671a4ac1729d7f8996ba091f8e07c">mshadow::mshadow_sizeof</a>(dtype);</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  this->CheckAndAlloc();</div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  }</div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> CheckAndAlloc(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &shape, <span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a87e1c30aafac389774c6f4d905c0e5ea">mxnet::ShapeVector</a> &aux_shapes,</div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  <span class="keywordtype">int</span> dtype) {</div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  <span class="comment">// calculate size, perform allocation</span></div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aac095f52c31076adc7207f4a4f17d7aa3">kRowSparseStorage</a> == storage_type) {</div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  <span class="comment">// For row sparse, aux_shape indicates the number of rows to allocate</span></div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  <span class="keyword">auto</span> aux_shape = aux_shapes[<a class="code" href="namespacemxnet_1_1rowsparse.html#a0ad4c619684fa4d442c7076c18fef232ac52a46037d8cfe90ccc5da8712c7f6da">rowsparse::kIdx</a>];</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  CheckAndAllocAuxData(<a class="code" href="namespacemxnet_1_1rowsparse.html#a0ad4c619684fa4d442c7076c18fef232ac52a46037d8cfe90ccc5da8712c7f6da">rowsparse::kIdx</a>, aux_shape);</div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> storage_shape(shape);</div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  storage_shape[0] = aux_shape[0];</div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  CheckAndAllocData(storage_shape, dtype);</div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aa777c7ad3afa566f2e841f12c81aab254">kCSRStorage</a> == storage_type) {</div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  CheckAndAllocAuxData(<a class="code" href="namespacemxnet_1_1csr.html#a74a2e3877ef7b348d5374a9d604aba42ad9dcbaec1c8c6ca9d69648c83354aac1">csr::kIndPtr</a>, aux_shapes[<a class="code" href="namespacemxnet_1_1csr.html#a74a2e3877ef7b348d5374a9d604aba42ad9dcbaec1c8c6ca9d69648c83354aac1">csr::kIndPtr</a>]);</div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>  CheckAndAllocAuxData(<a class="code" href="namespacemxnet_1_1csr.html#a74a2e3877ef7b348d5374a9d604aba42aa6ca1dbcb9c5858e0d28237ae3624ed7">csr::kIdx</a>, aux_shapes[<a class="code" href="namespacemxnet_1_1csr.html#a74a2e3877ef7b348d5374a9d604aba42aa6ca1dbcb9c5858e0d28237ae3624ed7">csr::kIdx</a>]);</div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  CheckAndAllocData(aux_shapes[<a class="code" href="namespacemxnet_1_1csr.html#a74a2e3877ef7b348d5374a9d604aba42aa6ca1dbcb9c5858e0d28237ae3624ed7">csr::kIdx</a>], dtype);</div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  LOG(FATAL) << <span class="stringliteral">"Storage type "</span> << storage_type << <span class="stringliteral">" not implemented for CheckAndAlloc"</span>;</div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  }</div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  }</div><div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  <span class="comment">// create storage handle for data based on shape and dtype, assuming ctx is set</span></div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  <span class="comment">// storage shape is also updated</span></div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  <span class="comment">// if data is already allocated, try reuse the storage. Otherwise, free the current one</span></div><div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  <span class="comment">// and allocate new storage</span></div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  <span class="keywordtype">void</span> CheckAndAllocData(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &shape, <span class="keywordtype">int</span> dtype);</div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span> </div><div class="line"><a name="l01052"></a><span class="lineno"> 1052</span> <span class="preprocessor">#if MXNET_USE_MKLDNN == 1</span></div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  <span class="comment">// Have MKL memory reference to the data in the default storage</span></div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  <span class="comment">// or create memory for MKLDNN.</span></div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  <span class="keywordtype">void</span> SetMKLMem(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &shape, <span class="keywordtype">int</span> dtype);</div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  <span class="comment">// If the data is stored in MKLDNN layout, we reorder data in mkl_mem_ and</span></div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  <span class="comment">// save the result in shandle.</span></div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  <span class="keywordtype">void</span> Reorder2Default();</div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  <span class="comment">// Reroder data to a specified layout.</span></div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  <span class="keywordtype">void</span> MKLDNNDataReorder(<span class="keyword">const</span> mkldnn::memory::desc &md);</div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>  <span class="keywordtype">bool</span> IsMKLDNN() <span class="keyword">const</span>;</div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  <span class="keywordtype">bool</span> IsDefault() <span class="keyword">const</span>;</div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l01064"></a><span class="lineno"> 1064</span> </div><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  <span class="comment">// create storage handle for aux data based on shape</span></div><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  <span class="comment">// this function assumes ctx, aux shapes and aux types are set</span></div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  <span class="comment">// aux shape is also updated</span></div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  <span class="comment">// if aux data is already allocated, try reuse the storage. Otherwise, free the current one</span></div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>  <span class="comment">// and allocate new storage</span></div><div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> CheckAndAllocAuxData(<span class="keywordtype">size_t</span> i, <span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &shape) {</div><div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>  CHECK_EQ(shape.<a class="code" href="classmxnet_1_1Tuple.html#a6e0bdfe3f0f34693223f657ef676bef6">ndim</a>(), 1) << <span class="stringliteral">"shape must be 1D in CheckAndAllocAuxData"</span>;</div><div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>  CHECK_NE(storage_type, <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aadf6c6faf0de1e55119c679180c99e584">kUndefinedStorage</a>)</div><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>  << <span class="stringliteral">"storage type cannot be kUndefinedStorage in CheckAndAllocAuxData"</span>;</div><div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>  CHECK_NE(storage_type, <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>)</div><div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>  << <span class="stringliteral">"storage type cannot be kDefaultStorage in CheckAndAllocAuxData"</span>;</div><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  <span class="keywordflow">if</span> (aux_handles.size() <= i) {</div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  aux_handles.resize(i + 1);</div><div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  }</div><div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  <span class="keywordtype">size_t</span> aux_bytes = shape.<a class="code" href="classmxnet_1_1TShape.html#a505a8c1666a7aa7f6e4108b808e6a897">Size</a>() * <a class="code" href="namespacemshadow.html#a2e0671a4ac1729d7f8996ba091f8e07c">mshadow::mshadow_sizeof</a>(aux_types[i]);</div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  <span class="keywordflow">if</span> (aux_handles[i].size < aux_bytes) {</div><div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  <span class="comment">// free storage</span></div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  <a class="code" href="classmxnet_1_1Storage.html#a96abc072908d72d3271360a7e3e4bbc2">Storage::Get</a>()-><a class="code" href="classmxnet_1_1Storage.html#a5bdbd7b3ab712cd9e087ab007bdc64dd">Free</a>(aux_handles[i]);</div><div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  <span class="comment">// init aux storage</span></div><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  aux_handles[i] = <a class="code" href="classmxnet_1_1Storage.html#a96abc072908d72d3271360a7e3e4bbc2">Storage::Get</a>()-><a class="code" href="classmxnet_1_1Storage.html#a8ac978f345ba93f26b11ae4331406561">Alloc</a>(aux_bytes, ctx);</div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  }</div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  <span class="comment">// init shape</span></div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  set_aux_shape(i, shape);</div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  }</div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  ~Chunk();</div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  }; <span class="comment">// struct Chunk</span></div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span> </div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  <span class="keywordtype">void</span> SetTBlob() <span class="keyword">const</span>;</div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span> </div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  std::shared_ptr<Chunk> ptr_{<span class="keyword">nullptr</span>};</div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a> shape_;</div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>  <span class="keywordtype">size_t</span> byte_offset_ = 0;</div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  <span class="keywordtype">int</span> dtype_ = -1;</div><div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>  <span class="keywordtype">bool</span> reuse_ = <span class="keyword">false</span>;</div><div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>  <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76a">NDArrayStorageType</a> storage_type_ = <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aadf6c6faf0de1e55119c679180c99e584">kUndefinedStorage</a>;</div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  <a class="code" href="structnnvm_1_1NodeEntry.html">nnvm::NodeEntry</a> entry_;</div><div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>  <span class="keyword">mutable</span> <a class="code" href="classmxnet_1_1TBlob.html">TBlob</a> tblob_;</div><div class="line"><a name="l01117"></a><span class="lineno"> 1117</span> }; <span class="comment">// class NDArray</span></div><div class="line"><a name="l01118"></a><span class="lineno"> 1118</span> </div><div class="line"><a name="l01122"></a><span class="lineno"> 1122</span> <span class="keywordtype">size_t</span> <a class="code" href="namespacemxnet.html#ae4143fe21881cbf0174bba638e8e0330">num_aux_data</a>(<a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76a">NDArrayStorageType</a> stype);</div><div class="line"><a name="l01123"></a><span class="lineno"> 1123</span> </div><div class="line"><a name="l01135"></a><span class="lineno"> 1135</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet.html#ae7b0809624683afc59b6d7f7784d8bfb">CopyFromTo</a>(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &from, <span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> *to, <span class="keywordtype">int</span> priority = 0);</div><div class="line"><a name="l01136"></a><span class="lineno"> 1136</span> </div><div class="line"><a name="l01150"></a><span class="lineno"> 1150</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet.html#ae7b0809624683afc59b6d7f7784d8bfb">CopyFromTo</a>(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &from, <span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a>& to, <span class="keywordtype">int</span> priority = 0, <span class="keywordtype">bool</span> is_opr = <span class="keyword">false</span>);</div><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span> </div><div class="line"><a name="l01158"></a><span class="lineno"> 1158</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet.html#a15dfd6f3fa03dc2cf39dbab1225e1a51">ElementwiseSum</a>(<span class="keyword">const</span> std::vector<NDArray> &source, <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> *out, <span class="keywordtype">int</span> priority = 0);</div><div class="line"><a name="l01159"></a><span class="lineno"> 1159</span> </div><div class="line"><a name="l01166"></a><span class="lineno"> 1166</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> <a class="code" href="namespacemxnet.html#a4dafe3aae43025fd21bc44b98c18ed1e">operator+</a>(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &lhs, <span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &rhs);</div><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> <a class="code" href="namespacemxnet.html#a4dafe3aae43025fd21bc44b98c18ed1e">operator+</a>(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &lhs, <span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> &rhs);</div><div class="line"><a name="l01180"></a><span class="lineno"> 1180</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> <a class="code" href="namespacemxnet.html#ae3356844b657c9ae1b84d3ddd56bccf6">operator-</a>(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &lhs, <span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &rhs);</div><div class="line"><a name="l01187"></a><span class="lineno"> 1187</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> <a class="code" href="namespacemxnet.html#ae3356844b657c9ae1b84d3ddd56bccf6">operator-</a>(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &lhs, <span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> &rhs);</div><div class="line"><a name="l01194"></a><span class="lineno"> 1194</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> <a class="code" href="namespacemxnet.html#af26b09fbcda865d34ec4fdad482d266a">operator*</a>(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &lhs, <span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &rhs); \</div><div class="line"><a name="l01201"></a><span class="lineno"> 1201</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> <a class="code" href="namespacemxnet.html#af26b09fbcda865d34ec4fdad482d266a">operator*</a>(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &lhs, <span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> &rhs);</div><div class="line"><a name="l01208"></a><span class="lineno"> 1208</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> <a class="code" href="namespacemxnet.html#a502e3e00dc61cedb9c6eef711f1176ac">operator/</a>(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &lhs, <span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &rhs);</div><div class="line"><a name="l01215"></a><span class="lineno"> 1215</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> <a class="code" href="namespacemxnet.html#a502e3e00dc61cedb9c6eef711f1176ac">operator/</a>(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &lhs, <span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> &rhs);</div><div class="line"><a name="l01216"></a><span class="lineno"> 1216</span> </div><div class="line"><a name="l01221"></a><span class="lineno"> 1221</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet.html#a5bf83454c8f41259eb9d471f59feda2b">RandomSeed</a>(uint32_t seed);</div><div class="line"><a name="l01226"></a><span class="lineno"> 1226</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet.html#a5bf83454c8f41259eb9d471f59feda2b">RandomSeed</a>(<a class="code" href="structmxnet_1_1Context.html">Context</a> ctx, uint32_t seed);</div><div class="line"><a name="l01233"></a><span class="lineno"> 1233</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet.html#a2846f4556c9ca9bd0f567504ce60f274">SampleUniform</a>(<a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> begin, <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> end, <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> *out);</div><div class="line"><a name="l01240"></a><span class="lineno"> 1240</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet.html#a5a28062f52ca576a126599e7ad487077">SampleGaussian</a>(<a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> mu, <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> sigma, <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> *out);</div><div class="line"><a name="l01247"></a><span class="lineno"> 1247</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet.html#a050beaa505f11e0b844deb91efe0cac2">SampleGamma</a>(<a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> alpha, <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> beta, <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> *out);</div><div class="line"><a name="l01253"></a><span class="lineno"> 1253</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet.html#a51f9b094369a349c05463de2be9f0a31">SampleExponential</a>(<a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> lambda, <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> *out);</div><div class="line"><a name="l01259"></a><span class="lineno"> 1259</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet.html#aed55e8197182b7c66126902b2a43739a">SamplePoisson</a>(<a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> lambda, <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> *out);</div><div class="line"><a name="l01266"></a><span class="lineno"> 1266</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet.html#ae82f70918b2d946f7ad66a158b1733dc">SampleNegBinomial</a>(int32_t k, <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> p, <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> *out);</div><div class="line"><a name="l01273"></a><span class="lineno"> 1273</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet.html#ad8e0dad88ce27133fd24811763b7afdb">SampleGenNegBinomial</a>(<a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> mu, <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> alpha, <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> *out);</div><div class="line"><a name="l01274"></a><span class="lineno"> 1274</span> </div><div class="line"><a name="l01275"></a><span class="lineno"> 1275</span> </div><div class="line"><a name="l01276"></a><span class="lineno"> 1276</span> <span class="comment">//--------------------------------------------------------------</span></div><div class="line"><a name="l01277"></a><span class="lineno"> 1277</span> <span class="comment">// The following part are API Registration of NDArray functions.</span></div><div class="line"><a name="l01278"></a><span class="lineno"> 1278</span> <span class="comment">//--------------------------------------------------------------</span></div><div class="line"><a name="l01279"></a><span class="lineno"> 1279</span> </div><div class="line"><a name="l01281"></a><span class="lineno"> 1281</span> <span class="keyword">typedef</span> std::function<void (<a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> **used_vars,</div><div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>  <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> *scalars,</div><div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> **mutate_vars,</div><div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>  <span class="keywordtype">int</span> num_params,</div><div class="line"><a name="l01285"></a><span class="lineno"> 1285</span>  <span class="keywordtype">char</span> **param_keys,</div><div class="line"><a name="l01286"></a><span class="lineno"><a class="line" href="namespacemxnet.html#ab0d55b0edf98cf8f3caeb050662ae9ec"> 1286</a></span>  <span class="keywordtype">char</span> **param_vals)> <a class="code" href="namespacemxnet.html#ab0d55b0edf98cf8f3caeb050662ae9ec">NDArrayAPIFunction</a>;</div><div class="line"><a name="l01288"></a><span class="lineno"><a class="line" href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818a"> 1288</a></span> <span class="keyword">enum</span> <a class="code" href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818a">NDArrayFunctionTypeMask</a> {</div><div class="line"><a name="l01290"></a><span class="lineno"><a class="line" href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818aabbc1ba0bb3f8647dcfd8bad69efdbb51"> 1290</a></span>  <a class="code" href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818aabbc1ba0bb3f8647dcfd8bad69efdbb51">kNDArrayArgBeforeScalar</a> = 1,</div><div class="line"><a name="l01292"></a><span class="lineno"><a class="line" href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818aaef9818c8aae9d0046b3d9033a62fcfbb"> 1292</a></span>  <a class="code" href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818aaef9818c8aae9d0046b3d9033a62fcfbb">kScalarArgBeforeNDArray</a> = 1 << 1,</div><div class="line"><a name="l01301"></a><span class="lineno"><a class="line" href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818aa334598420a4246d5412ddc346b2b57bd"> 1301</a></span>  <a class="code" href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818aa334598420a4246d5412ddc346b2b57bd">kAcceptEmptyMutateTarget</a> = 1 << 2</div><div class="line"><a name="l01302"></a><span class="lineno"> 1302</span> };</div><div class="line"><a name="l01304"></a><span class="lineno"><a class="line" href="structmxnet_1_1NDArrayFunctionReg.html"> 1304</a></span> <span class="keyword">struct </span><a class="code" href="structmxnet_1_1NDArrayFunctionReg.html">NDArrayFunctionReg</a></div><div class="line"><a name="l01305"></a><span class="lineno"> 1305</span>  : <span class="keyword">public</span> <a class="code" href="classdmlc_1_1FunctionRegEntryBase.html">dmlc::FunctionRegEntryBase</a><NDArrayFunctionReg,</div><div class="line"><a name="l01306"></a><span class="lineno"> 1306</span>  NDArrayAPIFunction> {</div><div class="line"><a name="l01308"></a><span class="lineno"><a class="line" href="structmxnet_1_1NDArrayFunctionReg.html#aa0847438b4f3f600ec61d6d544755a29"> 1308</a></span>  <span class="keywordtype">unsigned</span> <a class="code" href="structmxnet_1_1NDArrayFunctionReg.html#aa0847438b4f3f600ec61d6d544755a29">num_use_vars</a>;</div><div class="line"><a name="l01310"></a><span class="lineno"><a class="line" href="structmxnet_1_1NDArrayFunctionReg.html#ad7881779b7807c6357902bdaccfccde2"> 1310</a></span>  <span class="keywordtype">unsigned</span> <a class="code" href="structmxnet_1_1NDArrayFunctionReg.html#ad7881779b7807c6357902bdaccfccde2">num_mutate_vars</a>;</div><div class="line"><a name="l01312"></a><span class="lineno"><a class="line" href="structmxnet_1_1NDArrayFunctionReg.html#a9591e2abf6cbca0903aec582b96b4d95"> 1312</a></span>  <span class="keywordtype">unsigned</span> <a class="code" href="structmxnet_1_1NDArrayFunctionReg.html#a9591e2abf6cbca0903aec582b96b4d95">num_scalars</a>;</div><div class="line"><a name="l01314"></a><span class="lineno"><a class="line" href="structmxnet_1_1NDArrayFunctionReg.html#a0b24615f30e4fbe69ee75c7b319735bf"> 1314</a></span>  <span class="keywordtype">int</span> <a class="code" href="structmxnet_1_1NDArrayFunctionReg.html#a0b24615f30e4fbe69ee75c7b319735bf">type_mask</a>;</div><div class="line"><a name="l01318"></a><span class="lineno"><a class="line" href="structmxnet_1_1NDArrayFunctionReg.html#abd540887b52ba89572ad6a18b4ac739c"> 1318</a></span>  <a class="code" href="structmxnet_1_1NDArrayFunctionReg.html#abd540887b52ba89572ad6a18b4ac739c">NDArrayFunctionReg</a>()</div><div class="line"><a name="l01319"></a><span class="lineno"> 1319</span>  : num_use_vars(0),</div><div class="line"><a name="l01320"></a><span class="lineno"> 1320</span>  num_mutate_vars(0),</div><div class="line"><a name="l01321"></a><span class="lineno"> 1321</span>  num_scalars(0),</div><div class="line"><a name="l01322"></a><span class="lineno"> 1322</span>  type_mask(0) {}</div><div class="line"><a name="l01329"></a><span class="lineno"><a class="line" href="structmxnet_1_1NDArrayFunctionReg.html#aa606f0cec91a2e069553f98d7e7addcd"> 1329</a></span>  <span class="keyword">inline</span> <a class="code" href="structmxnet_1_1NDArrayFunctionReg.html">NDArrayFunctionReg</a> &<a class="code" href="structmxnet_1_1NDArrayFunctionReg.html#aa606f0cec91a2e069553f98d7e7addcd">set_function</a>(<span class="keywordtype">void</span> (*fsetvalue)(<span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> &rhs,</div><div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> *out)) {</div><div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>  body = [fsetvalue] (<a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> **used_vars, <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> *s, <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> **mutate_vars,</div><div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>  <span class="keywordtype">int</span> num_params, <span class="keywordtype">char</span> **param_keys, <span class="keywordtype">char</span> **param_vals) {</div><div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>  (*fsetvalue)(s[0], mutate_vars[0]);</div><div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>  };</div><div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>  num_mutate_vars = 1; num_scalars = 1;</div><div class="line"><a name="l01336"></a><span class="lineno"> 1336</span>  this->add_argument(<span class="stringliteral">"src"</span>, <span class="stringliteral">"real_t"</span>, <span class="stringliteral">"Source input to the function."</span>);</div><div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l01338"></a><span class="lineno"> 1338</span>  }</div><div class="line"><a name="l01345"></a><span class="lineno"><a class="line" href="structmxnet_1_1NDArrayFunctionReg.html#aa7f4633d042179d90c067aeb8da62060"> 1345</a></span>  <span class="keyword">inline</span> <a class="code" href="structmxnet_1_1NDArrayFunctionReg.html">NDArrayFunctionReg</a> &<a class="code" href="structmxnet_1_1NDArrayFunctionReg.html#aa7f4633d042179d90c067aeb8da62060">set_function</a>(<span class="keywordtype">void</span>(*fternary)(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &lhs,</div><div class="line"><a name="l01346"></a><span class="lineno"> 1346</span>  <span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &mhs,</div><div class="line"><a name="l01347"></a><span class="lineno"> 1347</span>  <span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &rhs,</div><div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> *out)) {</div><div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>  body = [fternary](<a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> **used_vars,</div><div class="line"><a name="l01350"></a><span class="lineno"> 1350</span>  <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> *s, <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> **mutate_vars,</div><div class="line"><a name="l01351"></a><span class="lineno"> 1351</span>  <span class="keywordtype">int</span> num_params, <span class="keywordtype">char</span> **param_keys, <span class="keywordtype">char</span> **param_vals) {</div><div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>  (*fternary)(*used_vars[0], *used_vars[1], *used_vars[2], mutate_vars[0]);</div><div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>  };</div><div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>  num_use_vars = 3; num_mutate_vars = 1;</div><div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>  type_mask = <a class="code" href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818aabbc1ba0bb3f8647dcfd8bad69efdbb51">kNDArrayArgBeforeScalar</a> | <a class="code" href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818aa334598420a4246d5412ddc346b2b57bd">kAcceptEmptyMutateTarget</a>;</div><div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>  this->add_argument(<span class="stringliteral">"lhs"</span>, <span class="stringliteral">"NDArray"</span>, <span class="stringliteral">"Left operand to the function."</span>);</div><div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>  this->add_argument(<span class="stringliteral">"mhs"</span>, <span class="stringliteral">"NDArray"</span>, <span class="stringliteral">"Middle operand to the function."</span>);</div><div class="line"><a name="l01358"></a><span class="lineno"> 1358</span>  this->add_argument(<span class="stringliteral">"rhs"</span>, <span class="stringliteral">"NDArray"</span>, <span class="stringliteral">"Right operand to the function."</span>);</div><div class="line"><a name="l01359"></a><span class="lineno"> 1359</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l01360"></a><span class="lineno"> 1360</span>  }</div><div class="line"><a name="l01367"></a><span class="lineno"><a class="line" href="structmxnet_1_1NDArrayFunctionReg.html#aa57c24a22d49470496b221c72bf7a1a0"> 1367</a></span>  <span class="keyword">inline</span> <a class="code" href="structmxnet_1_1NDArrayFunctionReg.html">NDArrayFunctionReg</a> &<a class="code" href="structmxnet_1_1NDArrayFunctionReg.html#aa57c24a22d49470496b221c72bf7a1a0">set_function</a>(<span class="keywordtype">void</span> (*fbinary)(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &lhs,</div><div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>  <span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &rhs,</div><div class="line"><a name="l01369"></a><span class="lineno"> 1369</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> *out)) {</div><div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>  body = [fbinary] (<a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> **used_vars, <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> *s, <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> **mutate_vars,</div><div class="line"><a name="l01371"></a><span class="lineno"> 1371</span>  <span class="keywordtype">int</span> num_params, <span class="keywordtype">char</span> **param_keys, <span class="keywordtype">char</span> **param_vals) {</div><div class="line"><a name="l01372"></a><span class="lineno"> 1372</span>  (*fbinary)(*used_vars[0], *used_vars[1], mutate_vars[0]);</div><div class="line"><a name="l01373"></a><span class="lineno"> 1373</span>  };</div><div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>  num_use_vars = 2; num_mutate_vars = 1;</div><div class="line"><a name="l01375"></a><span class="lineno"> 1375</span>  type_mask = <a class="code" href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818aabbc1ba0bb3f8647dcfd8bad69efdbb51">kNDArrayArgBeforeScalar</a> | <a class="code" href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818aa334598420a4246d5412ddc346b2b57bd">kAcceptEmptyMutateTarget</a>;</div><div class="line"><a name="l01376"></a><span class="lineno"> 1376</span>  this->add_argument(<span class="stringliteral">"lhs"</span>, <span class="stringliteral">"NDArray"</span>, <span class="stringliteral">"Left operand to the function."</span>);</div><div class="line"><a name="l01377"></a><span class="lineno"> 1377</span>  this->add_argument(<span class="stringliteral">"rhs"</span>, <span class="stringliteral">"NDArray"</span>, <span class="stringliteral">"Right operand to the function."</span>);</div><div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l01379"></a><span class="lineno"> 1379</span>  }</div><div class="line"><a name="l01386"></a><span class="lineno"><a class="line" href="structmxnet_1_1NDArrayFunctionReg.html#af6fc4419b30c74139eceb04e7d5758f5"> 1386</a></span>  <span class="keyword">inline</span> <a class="code" href="structmxnet_1_1NDArrayFunctionReg.html">NDArrayFunctionReg</a> &<a class="code" href="structmxnet_1_1NDArrayFunctionReg.html#af6fc4419b30c74139eceb04e7d5758f5">set_function</a>(<span class="keywordtype">void</span> (*fscalar)(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &lhs,</div><div class="line"><a name="l01387"></a><span class="lineno"> 1387</span>  <span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> &rhs,</div><div class="line"><a name="l01388"></a><span class="lineno"> 1388</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> *out)) {</div><div class="line"><a name="l01389"></a><span class="lineno"> 1389</span>  body = [fscalar] (<a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> **used_vars, <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> *s, <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> **mutate_vars,</div><div class="line"><a name="l01390"></a><span class="lineno"> 1390</span>  <span class="keywordtype">int</span> num_params, <span class="keywordtype">char</span> **param_keys, <span class="keywordtype">char</span> **param_vals) {</div><div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>  (*fscalar)(*used_vars[0], s[0], mutate_vars[0]);</div><div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>  };</div><div class="line"><a name="l01393"></a><span class="lineno"> 1393</span>  num_use_vars = 1; num_mutate_vars = 1; num_scalars = 1;</div><div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>  type_mask = <a class="code" href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818aabbc1ba0bb3f8647dcfd8bad69efdbb51">kNDArrayArgBeforeScalar</a> | <a class="code" href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818aa334598420a4246d5412ddc346b2b57bd">kAcceptEmptyMutateTarget</a>;</div><div class="line"><a name="l01395"></a><span class="lineno"> 1395</span>  this->add_argument(<span class="stringliteral">"lhs"</span>, <span class="stringliteral">"NDArray"</span>, <span class="stringliteral">"Left operand to the function."</span>);</div><div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>  this->add_argument(<span class="stringliteral">"rhs"</span>, <span class="stringliteral">"real_t"</span>, <span class="stringliteral">"Right operand to the function."</span>);</div><div class="line"><a name="l01397"></a><span class="lineno"> 1397</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l01398"></a><span class="lineno"> 1398</span>  }</div><div class="line"><a name="l01405"></a><span class="lineno"><a class="line" href="structmxnet_1_1NDArrayFunctionReg.html#a5f4c0751bc3111a8707b160d0e99e1af"> 1405</a></span>  <span class="keyword">inline</span> <a class="code" href="structmxnet_1_1NDArrayFunctionReg.html">NDArrayFunctionReg</a> &<a class="code" href="structmxnet_1_1NDArrayFunctionReg.html#a5f4c0751bc3111a8707b160d0e99e1af">set_function</a>(<span class="keywordtype">void</span> (*funary)(<span class="keyword">const</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> &src,</div><div class="line"><a name="l01406"></a><span class="lineno"> 1406</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> *out)) {</div><div class="line"><a name="l01407"></a><span class="lineno"> 1407</span>  body = [funary] (<a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> **used_vars, <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> *s, <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> **mutate_vars,</div><div class="line"><a name="l01408"></a><span class="lineno"> 1408</span>  <span class="keywordtype">int</span> num_params, <span class="keywordtype">char</span> **param_keys, <span class="keywordtype">char</span> **param_vals) {</div><div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>  (*funary)(*used_vars[0], mutate_vars[0]);</div><div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>  };</div><div class="line"><a name="l01411"></a><span class="lineno"> 1411</span>  num_use_vars = 1; num_mutate_vars = 1;</div><div class="line"><a name="l01412"></a><span class="lineno"> 1412</span>  type_mask = <a class="code" href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818aabbc1ba0bb3f8647dcfd8bad69efdbb51">kNDArrayArgBeforeScalar</a> | <a class="code" href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818aa334598420a4246d5412ddc346b2b57bd">kAcceptEmptyMutateTarget</a>;</div><div class="line"><a name="l01413"></a><span class="lineno"> 1413</span>  this->add_argument(<span class="stringliteral">"src"</span>, <span class="stringliteral">"NDArray"</span>, <span class="stringliteral">"Source input to the function."</span>);</div><div class="line"><a name="l01414"></a><span class="lineno"> 1414</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l01415"></a><span class="lineno"> 1415</span>  }</div><div class="line"><a name="l01422"></a><span class="lineno"><a class="line" href="structmxnet_1_1NDArrayFunctionReg.html#a220e1866bea35e103adbe23ff92855d9"> 1422</a></span>  <span class="keyword">inline</span> <a class="code" href="structmxnet_1_1NDArrayFunctionReg.html">NDArrayFunctionReg</a> &<a class="code" href="structmxnet_1_1NDArrayFunctionReg.html#a220e1866bea35e103adbe23ff92855d9">set_function</a>(</div><div class="line"><a name="l01423"></a><span class="lineno"> 1423</span>  <span class="keywordtype">void</span> (*fgeneric)(<a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> **used_vars,</div><div class="line"><a name="l01424"></a><span class="lineno"> 1424</span>  <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> *s,</div><div class="line"><a name="l01425"></a><span class="lineno"> 1425</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> **mutate_vars,</div><div class="line"><a name="l01426"></a><span class="lineno"> 1426</span>  <span class="keyword">const</span> std::map<std::string, std::string>& param)) {</div><div class="line"><a name="l01427"></a><span class="lineno"> 1427</span>  body = [fgeneric] (<a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> **used_vars, <a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a> *s, <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> **mutate_vars,</div><div class="line"><a name="l01428"></a><span class="lineno"> 1428</span>  <span class="keywordtype">int</span> num_params, <span class="keywordtype">char</span> **param_keys, <span class="keywordtype">char</span> **param_vals) {</div><div class="line"><a name="l01429"></a><span class="lineno"> 1429</span>  std::map<std::string, std::string> param;</div><div class="line"><a name="l01430"></a><span class="lineno"> 1430</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < num_params; ++i) {</div><div class="line"><a name="l01431"></a><span class="lineno"> 1431</span>  param[param_keys[i]] = param_vals[i];</div><div class="line"><a name="l01432"></a><span class="lineno"> 1432</span>  }</div><div class="line"><a name="l01433"></a><span class="lineno"> 1433</span>  fgeneric(used_vars, s, mutate_vars, param);</div><div class="line"><a name="l01434"></a><span class="lineno"> 1434</span>  };</div><div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l01436"></a><span class="lineno"> 1436</span>  }</div><div class="line"><a name="l01442"></a><span class="lineno"><a class="line" href="structmxnet_1_1NDArrayFunctionReg.html#a970756506340ff688dbb447858b1963c"> 1442</a></span>  <span class="keyword">inline</span> <a class="code" href="structmxnet_1_1NDArrayFunctionReg.html">NDArrayFunctionReg</a> &<a class="code" href="structmxnet_1_1NDArrayFunctionReg.html#a970756506340ff688dbb447858b1963c">set_num_use_vars</a>(<span class="keywordtype">unsigned</span> n) {</div><div class="line"><a name="l01443"></a><span class="lineno"> 1443</span>  num_use_vars = n; <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l01444"></a><span class="lineno"> 1444</span>  }</div><div class="line"><a name="l01450"></a><span class="lineno"><a class="line" href="structmxnet_1_1NDArrayFunctionReg.html#af0a5efd67efe9b7c14abd49652e79a14"> 1450</a></span>  <span class="keyword">inline</span> <a class="code" href="structmxnet_1_1NDArrayFunctionReg.html">NDArrayFunctionReg</a> &<a class="code" href="structmxnet_1_1NDArrayFunctionReg.html#af0a5efd67efe9b7c14abd49652e79a14">set_num_mutate_vars</a>(<span class="keywordtype">unsigned</span> n) {</div><div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>  num_mutate_vars = n; <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l01452"></a><span class="lineno"> 1452</span>  }</div><div class="line"><a name="l01458"></a><span class="lineno"><a class="line" href="structmxnet_1_1NDArrayFunctionReg.html#a4f6a3ba75e30389c827b3b26a12415d1"> 1458</a></span>  <span class="keyword">inline</span> <a class="code" href="structmxnet_1_1NDArrayFunctionReg.html">NDArrayFunctionReg</a> &<a class="code" href="structmxnet_1_1NDArrayFunctionReg.html#a4f6a3ba75e30389c827b3b26a12415d1">set_num_scalars</a>(<span class="keywordtype">unsigned</span> n) {</div><div class="line"><a name="l01459"></a><span class="lineno"> 1459</span>  num_scalars = n; <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l01460"></a><span class="lineno"> 1460</span>  }</div><div class="line"><a name="l01466"></a><span class="lineno"><a class="line" href="structmxnet_1_1NDArrayFunctionReg.html#acc3656ba948c28d3d155736ce064a3f4"> 1466</a></span>  <span class="keyword">inline</span> <a class="code" href="structmxnet_1_1NDArrayFunctionReg.html">NDArrayFunctionReg</a> &<a class="code" href="structmxnet_1_1NDArrayFunctionReg.html#acc3656ba948c28d3d155736ce064a3f4">set_type_mask</a>(<span class="keywordtype">int</span> tmask) {</div><div class="line"><a name="l01467"></a><span class="lineno"> 1467</span>  type_mask = tmask; <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l01468"></a><span class="lineno"> 1468</span>  }</div><div class="line"><a name="l01469"></a><span class="lineno"> 1469</span> }; <span class="comment">// NDArrayFunctionReg</span></div><div class="line"><a name="l01470"></a><span class="lineno"> 1470</span> </div><div class="line"><a name="l01482"></a><span class="lineno"><a class="line" href="include_2mxnet_2ndarray_8h.html#a21d0a394bdf34194b9954252d9476d56"> 1482</a></span> <span class="preprocessor">#define MXNET_REGISTER_NDARRAY_FUN(name) \</span></div><div class="line"><a name="l01483"></a><span class="lineno"> 1483</span> <span class="preprocessor"> DMLC_REGISTRY_REGISTER(::mxnet::NDArrayFunctionReg, NDArrayFunctionReg, name)</span></div><div class="line"><a name="l01484"></a><span class="lineno"> 1484</span> </div><div class="line"><a name="l01485"></a><span class="lineno"> 1485</span> } <span class="comment">// namespace mxnet</span></div><div class="line"><a name="l01486"></a><span class="lineno"> 1486</span> </div><div class="line"><a name="l01487"></a><span class="lineno"> 1487</span> <span class="keyword">namespace </span><a class="code" href="namespacedmlc.html">dmlc</a> {</div><div class="line"><a name="l01489"></a><span class="lineno"> 1489</span> <a class="code" href="type__traits_8h.html#ad29838fb4e93a8dd3efbdcd292c98bd5">DMLC_DECLARE_TRAITS</a>(has_saveload, <a class="code" href="classmxnet_1_1NDArray.html">mxnet::NDArray</a>, <span class="keyword">true</span>);</div><div class="line"><a name="l01490"></a><span class="lineno"> 1490</span> } <span class="comment">// namespace dmlc</span></div><div class="line"><a name="l01491"></a><span class="lineno"> 1491</span> <span class="preprocessor">#endif // MXNET_NDARRAY_H_</span></div><div class="ttc" id="classmxnet_1_1NDArray_html_aa18b9a6db4601e6b96bbe0560abeac98"><div class="ttname"><a href="classmxnet_1_1NDArray.html#aa18b9a6db4601e6b96bbe0560abeac98">mxnet::NDArray::aux_shapes</a></div><div class="ttdeci">const mxnet::ShapeVector & aux_shapes() const</div><div class="ttdef"><b>Definition:</b> ndarray.h:248</div></div> |
| <div class="ttc" id="namespacemxnet_html_ace60510752753f459193f95cab0e9e1aa7636cc230df4abe46f3210846faac799"><div class="ttname"><a href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1aa7636cc230df4abe46f3210846faac799">mxnet::kRSPIdxErr</a></div><div class="ttdef"><b>Definition:</b> ndarray.h:73</div></div> |
| <div class="ttc" id="namespacemshadow_html_a143ad1a73ba518ef0aad29d36f2569ee"><div class="ttname"><a href="namespacemshadow.html#a143ad1a73ba518ef0aad29d36f2569ee">mshadow::default_type_flag</a></div><div class="ttdeci">const int default_type_flag</div><div class="ttdoc">type enum value for default real type </div><div class="ttdef"><b>Definition:</b> base.h:484</div></div> |
| <div class="ttc" id="namespacemxnet_html_a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608"><div class="ttname"><a href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">mxnet::kDefaultStorage</a></div><div class="ttdef"><b>Definition:</b> ndarray.h:62</div></div> |
| <div class="ttc" id="namespacemxnet_html_a536b732faa980e1de446c552460ff76a"><div class="ttname"><a href="namespacemxnet.html#a536b732faa980e1de446c552460ff76a">mxnet::NDArrayStorageType</a></div><div class="ttdeci">NDArrayStorageType</div><div class="ttdef"><b>Definition:</b> ndarray.h:60</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a0bb9681f2b23318ff38566ed71af26a9"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a0bb9681f2b23318ff38566ed71af26a9">mxnet::NDArray::aux_data</a></div><div class="ttdeci">TBlob aux_data(size_t i) const</div><div class="ttdef"><b>Definition:</b> ndarray.h:290</div></div> |
| <div class="ttc" id="namespacemxnet_1_1csr_html_a74a2e3877ef7b348d5374a9d604aba42aa6ca1dbcb9c5858e0d28237ae3624ed7"><div class="ttname"><a href="namespacemxnet_1_1csr.html#a74a2e3877ef7b348d5374a9d604aba42aa6ca1dbcb9c5858e0d28237ae3624ed7">mxnet::csr::kIdx</a></div><div class="ttdef"><b>Definition:</b> ndarray.h:53</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_aa475e532890ae08c2a63ea2707a5053b"><div class="ttname"><a href="classmxnet_1_1NDArray.html#aa475e532890ae08c2a63ea2707a5053b">mxnet::NDArray::aux_types</a></div><div class="ttdeci">const std::vector< int > & aux_types() const</div><div class="ttdef"><b>Definition:</b> ndarray.h:255</div></div> |
| <div class="ttc" id="structmxnet_1_1NDArrayFunctionReg_html_af0a5efd67efe9b7c14abd49652e79a14"><div class="ttname"><a href="structmxnet_1_1NDArrayFunctionReg.html#af0a5efd67efe9b7c14abd49652e79a14">mxnet::NDArrayFunctionReg::set_num_mutate_vars</a></div><div class="ttdeci">NDArrayFunctionReg & set_num_mutate_vars(unsigned n)</div><div class="ttdoc">set the number of mutate variables </div><div class="ttdef"><b>Definition:</b> ndarray.h:1450</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a3ab28f889680e6aad1b981b378f206d9"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a3ab28f889680e6aad1b981b378f206d9">mxnet::NDArray::NDArray</a></div><div class="ttdeci">NDArray(const NDArrayStorageType stype, const mxnet::TShape &shape, const TBlob &data, const std::vector< TBlob > &aux_data, int dev_id)</div><div class="ttdoc">constructing a static NDArray of non-default storage that shares data with TBlob Use with caution: al...</div><div class="ttdef"><b>Definition:</b> ndarray.h:173</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a29673998ea5bec1cab7337595d907c67"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a29673998ea5bec1cab7337595d907c67">mxnet::NDArray::is_none</a></div><div class="ttdeci">bool is_none() const</div><div class="ttdef"><b>Definition:</b> ndarray.h:325</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_aa49fb5edddbf0d9ca38e8c2130e3ca88"><div class="ttname"><a href="classmxnet_1_1NDArray.html#aa49fb5edddbf0d9ca38e8c2130e3ca88">mxnet::NDArray::CheckAndAllocAuxData</a></div><div class="ttdeci">void CheckAndAllocAuxData(size_t i, const mxnet::TShape &aux_shape) const</div><div class="ttdef"><b>Definition:</b> ndarray.h:695</div></div> |
| <div class="ttc" id="namespacemxnet_html_ace60510752753f459193f95cab0e9e1a"><div class="ttname"><a href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1a">mxnet::NDArrayFormatErr</a></div><div class="ttdeci">NDArrayFormatErr</div><div class="ttdef"><b>Definition:</b> ndarray.h:67</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_af0e813ff066c775051d1f1f78a4a2029"><div class="ttname"><a href="classmxnet_1_1TBlob.html#af0e813ff066c775051d1f1f78a4a2029">mxnet::TBlob::shape_</a></div><div class="ttdeci">mxnet::TShape shape_</div><div class="ttdoc">shape of the tensor </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:71</div></div> |
| <div class="ttc" id="classdmlc_1_1FunctionRegEntryBase_html"><div class="ttname"><a href="classdmlc_1_1FunctionRegEntryBase.html">dmlc::FunctionRegEntryBase</a></div><div class="ttdoc">Common base class for function registry. </div><div class="ttdef"><b>Definition:</b> registry.h:151</div></div> |
| <div class="ttc" id="namespacemshadow_1_1expr_html_ac547eb1dceee713542019c2cc6da378b"><div class="ttname"><a href="namespacemshadow_1_1expr.html#ac547eb1dceee713542019c2cc6da378b">mshadow::expr::scalar</a></div><div class="ttdeci">ScalarExp< DType > scalar(DType s)</div><div class="ttdoc">create an scalar expression </div><div class="ttdef"><b>Definition:</b> expression.h:103</div></div> |
| <div class="ttc" id="namespacemxnet_html_a5bf83454c8f41259eb9d471f59feda2b"><div class="ttname"><a href="namespacemxnet.html#a5bf83454c8f41259eb9d471f59feda2b">mxnet::RandomSeed</a></div><div class="ttdeci">void RandomSeed(uint32_t seed)</div><div class="ttdoc">Seed all random number generator in mxnet. </div></div> |
| <div class="ttc" id="engine_8h_html"><div class="ttname"><a href="engine_8h.html">engine.h</a></div><div class="ttdoc">Engine that schedules all the operations according to dependency. </div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a7574bc7633ff7f796bf8a1f2e6e2a392"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a7574bc7633ff7f796bf8a1f2e6e2a392">mxnet::NDArray::byte_offset</a></div><div class="ttdeci">size_t byte_offset() const</div><div class="ttdef"><b>Definition:</b> ndarray.h:392</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a26d1ddb2bb0ed1e671ce7606498b942d"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a26d1ddb2bb0ed1e671ce7606498b942d">mxnet::NDArray::ctx</a></div><div class="ttdeci">Context ctx() const</div><div class="ttdef"><b>Definition:</b> ndarray.h:306</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a7f1d95c104a092be10a22a546e74f836"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a7f1d95c104a092be10a22a546e74f836">mxnet::NDArray::aux_shape</a></div><div class="ttdeci">const mxnet::TShape & aux_shape(size_t index) const</div><div class="ttdoc">get the shape of aux_data(index) </div><div class="ttdef"><b>Definition:</b> ndarray.h:241</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a8b390d8776568e2ffc8c2ed227e12f96"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a8b390d8776568e2ffc8c2ed227e12f96">mxnet::NDArray::SparseUpdateChunk</a></div><div class="ttdeci">void SparseUpdateChunk(const NDArray &arr) const</div><div class="ttdoc">Update ndarray chunk storage handles using existing ndarray storage handles Also update the aux_handl...</div><div class="ttdef"><b>Definition:</b> ndarray.h:605</div></div> |
| <div class="ttc" id="structmxnet_1_1NDArrayFunctionReg_html_abd540887b52ba89572ad6a18b4ac739c"><div class="ttname"><a href="structmxnet_1_1NDArrayFunctionReg.html#abd540887b52ba89572ad6a18b4ac739c">mxnet::NDArrayFunctionReg::NDArrayFunctionReg</a></div><div class="ttdeci">NDArrayFunctionReg()</div><div class="ttdoc">constructor </div><div class="ttdef"><b>Definition:</b> ndarray.h:1318</div></div> |
| <div class="ttc" id="namespacemxnet_html"><div class="ttname"><a href="namespacemxnet.html">mxnet</a></div><div class="ttdoc">namespace of mxnet </div><div class="ttdef"><b>Definition:</b> api_registry.h:33</div></div> |
| <div class="ttc" id="classmxnet_1_1Storage_html"><div class="ttname"><a href="classmxnet_1_1Storage.html">mxnet::Storage</a></div><div class="ttdoc">Storage manager across multiple devices. </div><div class="ttdef"><b>Definition:</b> storage.h:35</div></div> |
| <div class="ttc" id="namespacemxnet_html_af26b09fbcda865d34ec4fdad482d266a"><div class="ttname"><a href="namespacemxnet.html#af26b09fbcda865d34ec4fdad482d266a">mxnet::operator*</a></div><div class="ttdeci">NDArray operator*(const NDArray &lhs, const NDArray &rhs)</div><div class="ttdoc">elementwise multiplication </div></div> |
| <div class="ttc" id="namespacemshadow_html_a0435f827863555e4ed19bbc0cc81fa39"><div class="ttname"><a href="namespacemshadow.html#a0435f827863555e4ed19bbc0cc81fa39">mshadow::Copy</a></div><div class="ttdeci">void Copy(Tensor< cpu, dim, DType > dst, const Tensor< cpu, dim, DType > &src, Stream< cpu > *stream=NULL)</div><div class="ttdoc">copy data from one tensor to another, with same shape </div><div class="ttdef"><b>Definition:</b> tensor_cpu-inl.h:145</div></div> |
| <div class="ttc" id="classmxnet_1_1Storage_html_a5bdbd7b3ab712cd9e087ab007bdc64dd"><div class="ttname"><a href="classmxnet_1_1Storage.html#a5bdbd7b3ab712cd9e087ab007bdc64dd">mxnet::Storage::Free</a></div><div class="ttdeci">virtual void Free(Handle handle)=0</div><div class="ttdoc">Free storage. </div></div> |
| <div class="ttc" id="structmxnet_1_1NDArrayFunctionReg_html_a970756506340ff688dbb447858b1963c"><div class="ttname"><a href="structmxnet_1_1NDArrayFunctionReg.html#a970756506340ff688dbb447858b1963c">mxnet::NDArrayFunctionReg::set_num_use_vars</a></div><div class="ttdeci">NDArrayFunctionReg & set_num_use_vars(unsigned n)</div><div class="ttdoc">set the number of mutate variables </div><div class="ttdef"><b>Definition:</b> ndarray.h:1442</div></div> |
| <div class="ttc" id="3rdparty_2dmlc-core_2include_2dmlc_2registry_8h_html"><div class="ttname"><a href="3rdparty_2dmlc-core_2include_2dmlc_2registry_8h.html">registry.h</a></div></div> |
| <div class="ttc" id="namespacemxnet_html_a4421326e33f2a848cb2fa3e70ab24ff4"><div class="ttname"><a href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">mxnet::real_t</a></div><div class="ttdeci">mshadow::default_real_t real_t</div><div class="ttdoc">data type that will be used to store ndarray </div><div class="ttdef"><b>Definition:</b> base.h:96</div></div> |
| <div class="ttc" id="structmxnet_1_1Context_html_a39d1a2b59bce135da127475995a58671"><div class="ttname"><a href="structmxnet_1_1Context.html#a39d1a2b59bce135da127475995a58671">mxnet::Context::GPU</a></div><div class="ttdeci">static Context GPU(int32_t dev_id=-1)</div></div> |
| <div class="ttc" id="structmxnet_1_1NDArrayFunctionReg_html_a0b24615f30e4fbe69ee75c7b319735bf"><div class="ttname"><a href="structmxnet_1_1NDArrayFunctionReg.html#a0b24615f30e4fbe69ee75c7b319735bf">mxnet::NDArrayFunctionReg::type_mask</a></div><div class="ttdeci">int type_mask</div><div class="ttdoc">information on how function should be called from API </div><div class="ttdef"><b>Definition:</b> ndarray.h:1314</div></div> |
| <div class="ttc" id="structmxnet_1_1NDArrayFunctionReg_html_a5f4c0751bc3111a8707b160d0e99e1af"><div class="ttname"><a href="structmxnet_1_1NDArrayFunctionReg.html#a5f4c0751bc3111a8707b160d0e99e1af">mxnet::NDArrayFunctionReg::set_function</a></div><div class="ttdeci">NDArrayFunctionReg & set_function(void(*funary)(const NDArray &src, NDArray *out))</div><div class="ttdoc">set the function body to a unary NDArray function this will also auto set the parameters correctly ...</div><div class="ttdef"><b>Definition:</b> ndarray.h:1405</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_a4649b740b80a6045754cb2389cfcca61"><div class="ttname"><a href="classmxnet_1_1TBlob.html#a4649b740b80a6045754cb2389cfcca61">mxnet::TBlob::type_flag_</a></div><div class="ttdeci">int type_flag_</div><div class="ttdoc">type flag of the tensor blob </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:73</div></div> |
| <div class="ttc" id="namespacestd_html"><div class="ttname"><a href="namespacestd.html">std</a></div><div class="ttdef"><b>Definition:</b> optional.h:251</div></div> |
| <div class="ttc" id="structmxnet_1_1NDArrayFunctionReg_html_a4f6a3ba75e30389c827b3b26a12415d1"><div class="ttname"><a href="structmxnet_1_1NDArrayFunctionReg.html#a4f6a3ba75e30389c827b3b26a12415d1">mxnet::NDArrayFunctionReg::set_num_scalars</a></div><div class="ttdeci">NDArrayFunctionReg & set_num_scalars(unsigned n)</div><div class="ttdoc">set the number of scalar arguments </div><div class="ttdef"><b>Definition:</b> ndarray.h:1458</div></div> |
| <div class="ttc" id="namespacemxnet_html_ace60510752753f459193f95cab0e9e1aaf3ee084ba1d9a6203922ff7c9ddb12e3"><div class="ttname"><a href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1aaf3ee084ba1d9a6203922ff7c9ddb12e3">mxnet::kCSRIdxErr</a></div><div class="ttdef"><b>Definition:</b> ndarray.h:71</div></div> |
| <div class="ttc" id="structmxnet_1_1NDArrayFunctionReg_html_ad7881779b7807c6357902bdaccfccde2"><div class="ttname"><a href="structmxnet_1_1NDArrayFunctionReg.html#ad7881779b7807c6357902bdaccfccde2">mxnet::NDArrayFunctionReg::num_mutate_vars</a></div><div class="ttdeci">unsigned num_mutate_vars</div><div class="ttdoc">number of variable mutated by this function </div><div class="ttdef"><b>Definition:</b> ndarray.h:1310</div></div> |
| <div class="ttc" id="structmxnet_1_1RunContext_html"><div class="ttname"><a href="structmxnet_1_1RunContext.html">mxnet::RunContext</a></div><div class="ttdoc">execution time context. The information needed in runtime for actual execution. </div><div class="ttdef"><b>Definition:</b> base.h:349</div></div> |
| <div class="ttc" id="classdmlc_1_1Stream_html"><div class="ttname"><a href="classdmlc_1_1Stream.html">dmlc::Stream</a></div><div class="ttdoc">interface of stream I/O for serialization </div><div class="ttdef"><b>Definition:</b> io.h:30</div></div> |
| <div class="ttc" id="structmxnet_1_1Storage_1_1Handle_html_a428e25a6317e50c8b55307c96f8ec595"><div class="ttname"><a href="structmxnet_1_1Storage_1_1Handle.html#a428e25a6317e50c8b55307c96f8ec595">mxnet::Storage::Handle::dptr</a></div><div class="ttdeci">void * dptr</div><div class="ttdoc">Pointer to the data. </div><div class="ttdef"><b>Definition:</b> storage.h:44</div></div> |
| <div class="ttc" id="structmxnet_1_1NDArrayFunctionReg_html_af6fc4419b30c74139eceb04e7d5758f5"><div class="ttname"><a href="structmxnet_1_1NDArrayFunctionReg.html#af6fc4419b30c74139eceb04e7d5758f5">mxnet::NDArrayFunctionReg::set_function</a></div><div class="ttdeci">NDArrayFunctionReg & set_function(void(*fscalar)(const NDArray &lhs, const real_t &rhs, NDArray *out))</div><div class="ttdoc">set the function body to a binary NDArray function this will also auto set the parameters correctly ...</div><div class="ttdef"><b>Definition:</b> ndarray.h:1386</div></div> |
| <div class="ttc" id="3rdparty_2tvm_2nnvm_2include_2nnvm_2node_8h_html"><div class="ttname"><a href="3rdparty_2tvm_2nnvm_2include_2nnvm_2node_8h.html">node.h</a></div><div class="ttdoc">Graph node data structure. </div></div> |
| <div class="ttc" id="structmxnet_1_1engine_1_1Var_html"><div class="ttname"><a href="structmxnet_1_1engine_1_1Var.html">mxnet::engine::Var</a></div><div class="ttdoc">base class of engine variables. </div><div class="ttdef"><b>Definition:</b> engine.h:43</div></div> |
| <div class="ttc" id="namespacemxnet_html_a536b732faa980e1de446c552460ff76aa777c7ad3afa566f2e841f12c81aab254"><div class="ttname"><a href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aa777c7ad3afa566f2e841f12c81aab254">mxnet::kCSRStorage</a></div><div class="ttdef"><b>Definition:</b> ndarray.h:64</div></div> |
| <div class="ttc" id="type__traits_8h_html_ad29838fb4e93a8dd3efbdcd292c98bd5"><div class="ttname"><a href="type__traits_8h.html#ad29838fb4e93a8dd3efbdcd292c98bd5">DMLC_DECLARE_TRAITS</a></div><div class="ttdeci">#define DMLC_DECLARE_TRAITS(Trait, Type, Value)</div><div class="ttdoc">macro to quickly declare traits information </div><div class="ttdef"><b>Definition:</b> type_traits.h:126</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_ad8bcf56e13082fc0607e21f08b14758f"><div class="ttname"><a href="classmxnet_1_1TBlob.html#ad8bcf56e13082fc0607e21f08b14758f">mxnet::TBlob::dev_mask</a></div><div class="ttdeci">int dev_mask() const</div><div class="ttdoc">device mask of the corresponding device </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:262</div></div> |
| <div class="ttc" id="structmxnet_1_1Storage_1_1Handle_html_ae0a4202582aa12a598f5c55ef51ad4c8"><div class="ttname"><a href="structmxnet_1_1Storage_1_1Handle.html#ae0a4202582aa12a598f5c55ef51ad4c8">mxnet::Storage::Handle::ctx</a></div><div class="ttdeci">Context ctx</div><div class="ttdoc">Context information about device and ID. </div><div class="ttdef"><b>Definition:</b> storage.h:52</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a12ec978e5dbe9092d21721a657c39756"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a12ec978e5dbe9092d21721a657c39756">mxnet::NDArray::NDArray</a></div><div class="ttdeci">NDArray()</div><div class="ttdoc">default constructor </div><div class="ttdef"><b>Definition:</b> ndarray.h:84</div></div> |
| <div class="ttc" id="structmxnet_1_1NDArrayFunctionReg_html_aa0847438b4f3f600ec61d6d544755a29"><div class="ttname"><a href="structmxnet_1_1NDArrayFunctionReg.html#aa0847438b4f3f600ec61d6d544755a29">mxnet::NDArrayFunctionReg::num_use_vars</a></div><div class="ttdeci">unsigned num_use_vars</div><div class="ttdoc">number of variable used by this function </div><div class="ttdef"><b>Definition:</b> ndarray.h:1308</div></div> |
| <div class="ttc" id="structmxnet_1_1Storage_1_1Handle_html_ad938f8d0ddba567350ee7b3aae14b4c1"><div class="ttname"><a href="structmxnet_1_1Storage_1_1Handle.html#ad938f8d0ddba567350ee7b3aae14b4c1">mxnet::Storage::Handle::shared_id</a></div><div class="ttdeci">int shared_id</div><div class="ttdef"><b>Definition:</b> storage.h:57</div></div> |
| <div class="ttc" id="structmxnet_1_1NDArrayFunctionReg_html_aa7f4633d042179d90c067aeb8da62060"><div class="ttname"><a href="structmxnet_1_1NDArrayFunctionReg.html#aa7f4633d042179d90c067aeb8da62060">mxnet::NDArrayFunctionReg::set_function</a></div><div class="ttdeci">NDArrayFunctionReg & set_function(void(*fternary)(const NDArray &lhs, const NDArray &mhs, const NDArray &rhs, NDArray *out))</div><div class="ttdoc">set the function body to a ternary NDArray function this will also auto set the parameters correctly ...</div><div class="ttdef"><b>Definition:</b> ndarray.h:1345</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a67b0f8eb36568b4c9fbd3da2a1c4b0a3"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a67b0f8eb36568b4c9fbd3da2a1c4b0a3">mxnet::NDArray::dtype</a></div><div class="ttdeci">int dtype() const</div><div class="ttdef"><b>Definition:</b> ndarray.h:313</div></div> |
| <div class="ttc" id="namespacemxnet_html_a536b732faa980e1de446c552460ff76aadf6c6faf0de1e55119c679180c99e584"><div class="ttname"><a href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aadf6c6faf0de1e55119c679180c99e584">mxnet::kUndefinedStorage</a></div><div class="ttdef"><b>Definition:</b> ndarray.h:61</div></div> |
| <div class="ttc" id="structmshadow_1_1gpu_html_a15467f39ddeed96fa259efda7c988f05"><div class="ttname"><a href="structmshadow_1_1gpu.html#a15467f39ddeed96fa259efda7c988f05">mshadow::gpu::kDevMask</a></div><div class="ttdeci">static const int kDevMask</div><div class="ttdoc">device flag number, identifies this device </div><div class="ttdef"><b>Definition:</b> tensor.h:50</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a1e789a9d17c0b15749d247122e9b207a"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a1e789a9d17c0b15749d247122e9b207a">mxnet::NDArray::Init</a></div><div class="ttdeci">void Init(const mxnet::TShape &shape)</div><div class="ttdoc">initialize the NDArray, assuming it is not assigned a meaningful shape before </div><div class="ttdef"><b>Definition:</b> ndarray.h:185</div></div> |
| <div class="ttc" id="namespacemxnet_html_a87e1c30aafac389774c6f4d905c0e5ea"><div class="ttname"><a href="namespacemxnet.html#a87e1c30aafac389774c6f4d905c0e5ea">mxnet::ShapeVector</a></div><div class="ttdeci">std::vector< mxnet::TShape > ShapeVector</div><div class="ttdoc">The result holder of shape of each NodeEntry in the graph. </div><div class="ttdef"><b>Definition:</b> tuple.h:819</div></div> |
| <div class="ttc" id="namespacemxnet_1_1rowsparse_html_a0ad4c619684fa4d442c7076c18fef232"><div class="ttname"><a href="namespacemxnet_1_1rowsparse.html#a0ad4c619684fa4d442c7076c18fef232">mxnet::rowsparse::RowSparseAuxType</a></div><div class="ttdeci">RowSparseAuxType</div><div class="ttdef"><b>Definition:</b> ndarray.h:57</div></div> |
| <div class="ttc" id="namespacemxnet_html_ace60510752753f459193f95cab0e9e1aaf64429479d4a48998e6cd122a3117628"><div class="ttname"><a href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1aaf64429479d4a48998e6cd122a3117628">mxnet::kCSRShapeErr</a></div><div class="ttdef"><b>Definition:</b> ndarray.h:69</div></div> |
| <div class="ttc" id="namespacemxnet_html_a89a5f0f5cfd9e1e94604a7b42dda818aaef9818c8aae9d0046b3d9033a62fcfbb"><div class="ttname"><a href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818aaef9818c8aae9d0046b3d9033a62fcfbb">mxnet::kScalarArgBeforeNDArray</a></div><div class="ttdoc">all the scalar should go before use_vars </div><div class="ttdef"><b>Definition:</b> ndarray.h:1292</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_ac4ccbd0815226566d65d53229f719222"><div class="ttname"><a href="classmxnet_1_1NDArray.html#ac4ccbd0815226566d65d53229f719222">mxnet::NDArray::storage_initialized</a></div><div class="ttdeci">bool storage_initialized() const</div><div class="ttdoc">Returns true if a sparse ndarray&#39;s aux_data and storage are initialized Throws an exception if the in...</div><div class="ttdef"><b>Definition:</b> ndarray.h:336</div></div> |
| <div class="ttc" id="namespacemxnet_html_a51f9b094369a349c05463de2be9f0a31"><div class="ttname"><a href="namespacemxnet.html#a51f9b094369a349c05463de2be9f0a31">mxnet::SampleExponential</a></div><div class="ttdeci">void SampleExponential(real_t lambda, NDArray *out)</div><div class="ttdoc">Sample exponential distribution for each elements of out. </div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a168da55c01cc5c7a218d975af6b5b1f9"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a168da55c01cc5c7a218d975af6b5b1f9">mxnet::NDArray::var</a></div><div class="ttdeci">Engine::VarHandle var() const</div><div class="ttdef"><b>Definition:</b> ndarray.h:388</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_a4e5f4953be2c16724ecff0afc5ea2e10"><div class="ttname"><a href="classmxnet_1_1TBlob.html#a4e5f4953be2c16724ecff0afc5ea2e10">mxnet::TBlob::dptr_</a></div><div class="ttdeci">void * dptr_</div><div class="ttdoc">pointer to the data </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:69</div></div> |
| <div class="ttc" id="classmxnet_1_1Engine_html_a6e141b188f018d5d933ab99868631d5e"><div class="ttname"><a href="classmxnet_1_1Engine.html#a6e141b188f018d5d933ab99868631d5e">mxnet::Engine::NewVariable</a></div><div class="ttdeci">virtual VarHandle NewVariable()=0</div><div class="ttdoc">Allocate a new variable, the variable can then be used to schedule the operation concurrently via dep...</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a5fbabba18b71e4ad61fee8da1a05a275"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a5fbabba18b71e4ad61fee8da1a05a275">mxnet::NDArray::CheckAndAlloc</a></div><div class="ttdeci">void CheckAndAlloc(const mxnet::ShapeVector &aux_shapes) const</div><div class="ttdef"><b>Definition:</b> ndarray.h:685</div></div> |
| <div class="ttc" id="namespacemxnet_1_1rowsparse_html_a0ad4c619684fa4d442c7076c18fef232ac52a46037d8cfe90ccc5da8712c7f6da"><div class="ttname"><a href="namespacemxnet_1_1rowsparse.html#a0ad4c619684fa4d442c7076c18fef232ac52a46037d8cfe90ccc5da8712c7f6da">mxnet::rowsparse::kIdx</a></div><div class="ttdef"><b>Definition:</b> ndarray.h:57</div></div> |
| <div class="ttc" id="namespacemxnet_html_a89a5f0f5cfd9e1e94604a7b42dda818aa334598420a4246d5412ddc346b2b57bd"><div class="ttname"><a href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818aa334598420a4246d5412ddc346b2b57bd">mxnet::kAcceptEmptyMutateTarget</a></div><div class="ttdoc">whether this function allows the handles in the target to be empty NDArray that are not yet initializ...</div><div class="ttdef"><b>Definition:</b> ndarray.h:1301</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_ab0cd632ca10d91e65734cd8ce558cb08"><div class="ttname"><a href="classmxnet_1_1NDArray.html#ab0cd632ca10d91e65734cd8ce558cb08">mxnet::NDArray::version</a></div><div class="ttdeci">size_t version() const</div><div class="ttdoc">return var version of the NDArray </div><div class="ttdef"><b>Definition:</b> ndarray.h:396</div></div> |
| <div class="ttc" id="namespacemxnet_html_ace60510752753f459193f95cab0e9e1aa200492eeec6fa431683ef0d943bfbc2d"><div class="ttname"><a href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1aa200492eeec6fa431683ef0d943bfbc2d">mxnet::kRSPShapeErr</a></div><div class="ttdef"><b>Definition:</b> ndarray.h:72</div></div> |
| <div class="ttc" id="structDLManagedTensor_html"><div class="ttname"><a href="structDLManagedTensor.html">DLManagedTensor</a></div><div class="ttdoc">C Tensor object, manage memory of DLTensor. This data structure is intended to facilitate the borrowi...</div><div class="ttdef"><b>Definition:</b> dlpack.h:157</div></div> |
| <div class="ttc" id="classmxnet_1_1Storage_html_a96abc072908d72d3271360a7e3e4bbc2"><div class="ttname"><a href="classmxnet_1_1Storage.html#a96abc072908d72d3271360a7e3e4bbc2">mxnet::Storage::Get</a></div><div class="ttdeci">static Storage * Get()</div></div> |
| <div class="ttc" id="namespacedmlc_html"><div class="ttname"><a href="namespacedmlc.html">dmlc</a></div><div class="ttdoc">namespace for dmlc </div><div class="ttdef"><b>Definition:</b> array_view.h:12</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a67cb416db42a52288bb0a693026a8b97"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a67cb416db42a52288bb0a693026a8b97">mxnet::NDArray::storage_type</a></div><div class="ttdeci">NDArrayStorageType storage_type() const</div><div class="ttdef"><b>Definition:</b> ndarray.h:321</div></div> |
| <div class="ttc" id="classmxnet_1_1Engine_html_aed51bd7f294d9f2b569764a0c151d883"><div class="ttname"><a href="classmxnet_1_1Engine.html#aed51bd7f294d9f2b569764a0c151d883">mxnet::Engine::WaitForVar</a></div><div class="ttdeci">virtual void WaitForVar(VarHandle var)=0</div><div class="ttdoc">Wait for a variable. </div></div> |
| <div class="ttc" id="namespacemxnet_html_ae7b0809624683afc59b6d7f7784d8bfb"><div class="ttname"><a href="namespacemxnet.html#ae7b0809624683afc59b6d7f7784d8bfb">mxnet::CopyFromTo</a></div><div class="ttdeci">void CopyFromTo(const NDArray &from, const NDArray *to, int priority=0)</div><div class="ttdoc">issue an copy operation from one NDArray to another the two ndarray can sit on different devices this...</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a76646c5c7e164bd7c81854521d3bee52"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a76646c5c7e164bd7c81854521d3bee52">mxnet::NDArray::Detach</a></div><div class="ttdeci">NDArray Detach() const</div><div class="ttdoc">Return a copy of this NDArray without autograd history. </div><div class="ttdef"><b>Definition:</b> ndarray.h:649</div></div> |
| <div class="ttc" id="namespacemxnet_1_1csr_html_a74a2e3877ef7b348d5374a9d604aba42"><div class="ttname"><a href="namespacemxnet_1_1csr.html#a74a2e3877ef7b348d5374a9d604aba42">mxnet::csr::CSRAuxType</a></div><div class="ttdeci">CSRAuxType</div><div class="ttdef"><b>Definition:</b> ndarray.h:53</div></div> |
| <div class="ttc" id="namespacemxnet_html_a5a28062f52ca576a126599e7ad487077"><div class="ttname"><a href="namespacemxnet.html#a5a28062f52ca576a126599e7ad487077">mxnet::SampleGaussian</a></div><div class="ttdeci">void SampleGaussian(real_t mu, real_t sigma, NDArray *out)</div><div class="ttdoc">Sample gaussian distribution for each elements of out. </div></div> |
| <div class="ttc" id="namespacemxnet_1_1csr_html_a74a2e3877ef7b348d5374a9d604aba42ad9dcbaec1c8c6ca9d69648c83354aac1"><div class="ttname"><a href="namespacemxnet_1_1csr.html#a74a2e3877ef7b348d5374a9d604aba42ad9dcbaec1c8c6ca9d69648c83354aac1">mxnet::csr::kIndPtr</a></div><div class="ttdef"><b>Definition:</b> ndarray.h:53</div></div> |
| <div class="ttc" id="storage_8h_html"><div class="ttname"><a href="storage_8h.html">storage.h</a></div><div class="ttdoc">Storage manager across multiple devices. </div></div> |
| <div class="ttc" id="classmxnet_1_1Engine_html_afbdd4887c046e05aabe9272d0a0953a7"><div class="ttname"><a href="classmxnet_1_1Engine.html#afbdd4887c046e05aabe9272d0a0953a7">mxnet::Engine::PushAsync</a></div><div class="ttdeci">virtual void PushAsync(AsyncFn exec_fun, Context exec_ctx, std::vector< VarHandle > const &const_vars, std::vector< VarHandle > const &mutable_vars, FnProperty prop=FnProperty::kNormal, int priority=0, const char *opr_name=nullptr, bool wait=false)=0</div><div class="ttdoc">Push an asynchronous operation to the engine. </div></div> |
| <div class="ttc" id="structmxnet_1_1Storage_1_1Handle_html"><div class="ttname"><a href="structmxnet_1_1Storage_1_1Handle.html">mxnet::Storage::Handle</a></div><div class="ttdoc">Storage handle. </div><div class="ttdef"><b>Definition:</b> storage.h:40</div></div> |
| <div class="ttc" id="structmxnet_1_1Context_html_a8e090b1fcc96b682512bcc22fc521f80"><div class="ttname"><a href="structmxnet_1_1Context.html#a8e090b1fcc96b682512bcc22fc521f80">mxnet::Context::CPUShared</a></div><div class="ttdeci">static Context CPUShared(int32_t dev_id=0)</div></div> |
| <div class="ttc" id="namespacemxnet_html_a536b732faa980e1de446c552460ff76aac095f52c31076adc7207f4a4f17d7aa3"><div class="ttname"><a href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aac095f52c31076adc7207f4a4f17d7aa3">mxnet::kRowSparseStorage</a></div><div class="ttdef"><b>Definition:</b> ndarray.h:63</div></div> |
| <div class="ttc" id="namespacemxnet_html_ae4143fe21881cbf0174bba638e8e0330"><div class="ttname"><a href="namespacemxnet.html#ae4143fe21881cbf0174bba638e8e0330">mxnet::num_aux_data</a></div><div class="ttdeci">size_t num_aux_data(NDArrayStorageType stype)</div></div> |
| <div class="ttc" id="structmxnet_1_1NDArrayFunctionReg_html_acc3656ba948c28d3d155736ce064a3f4"><div class="ttname"><a href="structmxnet_1_1NDArrayFunctionReg.html#acc3656ba948c28d3d155736ce064a3f4">mxnet::NDArrayFunctionReg::set_type_mask</a></div><div class="ttdeci">NDArrayFunctionReg & set_type_mask(int tmask)</div><div class="ttdoc">set type mask </div><div class="ttdef"><b>Definition:</b> ndarray.h:1466</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a1cf4c49e6925d35586f75a1c9bdb51e4"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a1cf4c49e6925d35586f75a1c9bdb51e4">mxnet::NDArray::WaitToRead</a></div><div class="ttdeci">void WaitToRead() const</div><div class="ttdoc">Block until all the pending write operations with respect to current NDArray are finished, and read can be performed. </div><div class="ttdef"><b>Definition:</b> ndarray.h:367</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_aa2e26d3d53e546a8b5f458c0cc204387"><div class="ttname"><a href="classmxnet_1_1NDArray.html#aa2e26d3d53e546a8b5f458c0cc204387">mxnet::NDArray::NDArray</a></div><div class="ttdeci">NDArray(const TBlob &data, int dev_id, const std::function< void()> &deleter)</div><div class="ttdoc">constructing a static NDArray that shares data with TBlob which is with deleter Use with caution: all...</div><div class="ttdef"><b>Definition:</b> ndarray.h:144</div></div> |
| <div class="ttc" id="namespacemshadow_html_a05e468ef4d8882fccce53ae951b7bdbd"><div class="ttname"><a href="namespacemshadow.html#a05e468ef4d8882fccce53ae951b7bdbd">mshadow::Shape1</a></div><div class="ttdeci">MSHADOW_XINLINE Shape< 1 > Shape1(index_t s0)</div><div class="ttdoc">construct a one dimension shape, stride will equal s0 </div><div class="ttdef"><b>Definition:</b> tensor.h:206</div></div> |
| <div class="ttc" id="structnnvm_1_1NodeEntry_html"><div class="ttname"><a href="structnnvm_1_1NodeEntry.html">nnvm::NodeEntry</a></div><div class="ttdoc">an entry that represents output data from a node </div><div class="ttdef"><b>Definition:</b> node.h:51</div></div> |
| <div class="ttc" id="3rdparty_2dmlc-core_2include_2dmlc_2io_8h_html"><div class="ttname"><a href="3rdparty_2dmlc-core_2include_2dmlc_2io_8h.html">io.h</a></div></div> |
| <div class="ttc" id="classmxnet_1_1Storage_html_a8ac978f345ba93f26b11ae4331406561"><div class="ttname"><a href="classmxnet_1_1Storage.html#a8ac978f345ba93f26b11ae4331406561">mxnet::Storage::Alloc</a></div><div class="ttdeci">Handle Alloc(size_t size, Context ctx)</div><div class="ttdoc">Allocate a new contiguous memory for a given size. </div><div class="ttdef"><b>Definition:</b> storage.h:65</div></div> |
| <div class="ttc" id="namespacemxnet_html_ae3356844b657c9ae1b84d3ddd56bccf6"><div class="ttname"><a href="namespacemxnet.html#ae3356844b657c9ae1b84d3ddd56bccf6">mxnet::operator-</a></div><div class="ttdeci">NDArray operator-(const NDArray &lhs, const NDArray &rhs)</div><div class="ttdoc">elementwise subtraction </div></div> |
| <div class="ttc" id="namespacemxnet_html_ace60510752753f459193f95cab0e9e1aa11ce5dbb8ad355e9ee5a678f2f51a5bb"><div class="ttname"><a href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1aa11ce5dbb8ad355e9ee5a678f2f51a5bb">mxnet::kCSRIndPtrErr</a></div><div class="ttdef"><b>Definition:</b> ndarray.h:70</div></div> |
| <div class="ttc" id="namespacemshadow_html_a2e0671a4ac1729d7f8996ba091f8e07c"><div class="ttname"><a href="namespacemshadow.html#a2e0671a4ac1729d7f8996ba091f8e07c">mshadow::mshadow_sizeof</a></div><div class="ttdeci">size_t mshadow_sizeof(int type)</div><div class="ttdoc">get data type size from type enum </div><div class="ttdef"><b>Definition:</b> base.h:1479</div></div> |
| <div class="ttc" id="structmxnet_1_1NDArrayFunctionReg_html_aa606f0cec91a2e069553f98d7e7addcd"><div class="ttname"><a href="structmxnet_1_1NDArrayFunctionReg.html#aa606f0cec91a2e069553f98d7e7addcd">mxnet::NDArrayFunctionReg::set_function</a></div><div class="ttdeci">NDArrayFunctionReg & set_function(void(*fsetvalue)(const real_t &rhs, NDArray *out))</div><div class="ttdoc">set the function body to a NDArray setvalue function this will also auto set the parameters correctly...</div><div class="ttdef"><b>Definition:</b> ndarray.h:1329</div></div> |
| <div class="ttc" id="namespacemxnet_html_a4dafe3aae43025fd21bc44b98c18ed1e"><div class="ttname"><a href="namespacemxnet.html#a4dafe3aae43025fd21bc44b98c18ed1e">mxnet::operator+</a></div><div class="ttdeci">NDArray operator+(const NDArray &lhs, const NDArray &rhs)</div><div class="ttdoc">elementwise add </div></div> |
| <div class="ttc" id="namespacemxnet_html_a2846f4556c9ca9bd0f567504ce60f274"><div class="ttname"><a href="namespacemxnet.html#a2846f4556c9ca9bd0f567504ce60f274">mxnet::SampleUniform</a></div><div class="ttdeci">void SampleUniform(real_t begin, real_t end, NDArray *out)</div><div class="ttdoc">Sample uniform distribution for each elements of out. </div></div> |
| <div class="ttc" id="structmshadow_1_1cpu_html_a57f74b500825e21c0c246ad5b4e5016b"><div class="ttname"><a href="structmshadow_1_1cpu.html#a57f74b500825e21c0c246ad5b4e5016b">mshadow::cpu::kDevMask</a></div><div class="ttdeci">static const int kDevMask</div><div class="ttdoc">device flag number, identifies this device </div><div class="ttdef"><b>Definition:</b> tensor.h:43</div></div> |
| <div class="ttc" id="structmxnet_1_1NDArrayFunctionReg_html"><div class="ttname"><a href="structmxnet_1_1NDArrayFunctionReg.html">mxnet::NDArrayFunctionReg</a></div><div class="ttdoc">Registry entry for NDArrayFunction. </div><div class="ttdef"><b>Definition:</b> ndarray.h:1304</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_aba6fd4c790a1857c080321572b61546c"><div class="ttname"><a href="classmxnet_1_1NDArray.html#aba6fd4c790a1857c080321572b61546c">mxnet::NDArray::CheckAndAllocData</a></div><div class="ttdeci">void CheckAndAllocData(const mxnet::TShape &storage_shape) const</div><div class="ttdef"><b>Definition:</b> ndarray.h:690</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_afe1e6281a1bc6d0a0f2377d8870fb8f5"><div class="ttname"><a href="classmxnet_1_1NDArray.html#afe1e6281a1bc6d0a0f2377d8870fb8f5">mxnet::NDArray::IsView</a></div><div class="ttdeci">bool IsView() const</div><div class="ttdef"><b>Definition:</b> ndarray.h:199</div></div> |
| <div class="ttc" id="structmxnet_1_1NDArrayFunctionReg_html_aa57c24a22d49470496b221c72bf7a1a0"><div class="ttname"><a href="structmxnet_1_1NDArrayFunctionReg.html#aa57c24a22d49470496b221c72bf7a1a0">mxnet::NDArrayFunctionReg::set_function</a></div><div class="ttdeci">NDArrayFunctionReg & set_function(void(*fbinary)(const NDArray &lhs, const NDArray &rhs, NDArray *out))</div><div class="ttdoc">set the function body to a binary NDArray function this will also auto set the parameters correctly ...</div><div class="ttdef"><b>Definition:</b> ndarray.h:1367</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_ad8599450a4ba06b5890c5d06bd024d8e"><div class="ttname"><a href="classmxnet_1_1NDArray.html#ad8599450a4ba06b5890c5d06bd024d8e">mxnet::NDArray::WaitToWrite</a></div><div class="ttdeci">void WaitToWrite() const</div><div class="ttdoc">Block until all the pending read/write operations with respect to current NDArray are finished...</div><div class="ttdef"><b>Definition:</b> ndarray.h:375</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_afbafb6c0712694be87ab034a2eb1639c"><div class="ttname"><a href="classmxnet_1_1NDArray.html#afbafb6c0712694be87ab034a2eb1639c">mxnet::NDArray::storage_handle</a></div><div class="ttdeci">Storage::Handle storage_handle() const</div><div class="ttdoc">get storage handle </div><div class="ttdef"><b>Definition:</b> ndarray.h:357</div></div> |
| <div class="ttc" id="classmxnet_1_1Engine_html"><div class="ttname"><a href="classmxnet_1_1Engine.html">mxnet::Engine</a></div><div class="ttdoc">Dependency engine that schedules operations. </div><div class="ttdef"><b>Definition:</b> engine.h:116</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a245bf6c0b4dd454fa5d5bfb255005221"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a245bf6c0b4dd454fa5d5bfb255005221">mxnet::NDArray::set_aux_shape</a></div><div class="ttdeci">void set_aux_shape(size_t index, const mxnet::TShape &shape) const</div><div class="ttdoc">For a sparse operation on a csr matrix for example, the size of the column index array is an estimate...</div><div class="ttdef"><b>Definition:</b> ndarray.h:268</div></div> |
| <div class="ttc" id="structmxnet_1_1Context_html_a4bb231d70623fde216de51589347e513"><div class="ttname"><a href="structmxnet_1_1Context.html#a4bb231d70623fde216de51589347e513">mxnet::Context::CPU</a></div><div class="ttdeci">static Context CPU(int32_t dev_id=0)</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_ade5c291caf0e240892b1bffaf7e5c8b5"><div class="ttname"><a href="classmxnet_1_1NDArray.html#ade5c291caf0e240892b1bffaf7e5c8b5">mxnet::NDArray::data</a></div><div class="ttdeci">const TBlob & data() const</div><div class="ttdef"><b>Definition:</b> ndarray.h:277</div></div> |
| <div class="ttc" id="classmxnet_1_1Imperative_html"><div class="ttname"><a href="classmxnet_1_1Imperative.html">mxnet::Imperative</a></div><div class="ttdoc">runtime functions for NDArray </div><div class="ttdef"><b>Definition:</b> imperative.h:50</div></div> |
| <div class="ttc" id="classmxnet_1_1TShape_html_a505a8c1666a7aa7f6e4108b808e6a897"><div class="ttname"><a href="classmxnet_1_1TShape.html#a505a8c1666a7aa7f6e4108b808e6a897">mxnet::TShape::Size</a></div><div class="ttdeci">size_t Size() const</div><div class="ttdef"><b>Definition:</b> tuple.h:520</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_ac1f24bbdb0013050415ef0542d8273f1"><div class="ttname"><a href="classmxnet_1_1NDArray.html#ac1f24bbdb0013050415ef0542d8273f1">mxnet::NDArray::aux_type</a></div><div class="ttdeci">int aux_type(size_t i) const</div><div class="ttdef"><b>Definition:</b> ndarray.h:316</div></div> |
| <div class="ttc" id="classmxnet_1_1engine_1_1CallbackOnComplete_html"><div class="ttname"><a href="classmxnet_1_1engine_1_1CallbackOnComplete.html">mxnet::engine::CallbackOnComplete</a></div><div class="ttdoc">OnComplete Callback to the engine, called by AsyncFn when action completes. </div><div class="ttdef"><b>Definition:</b> engine.h:72</div></div> |
| <div class="ttc" id="classmxnet_1_1TShape_html"><div class="ttname"><a href="classmxnet_1_1TShape.html">mxnet::TShape</a></div><div class="ttdoc">A Shape class that is used to represent shape of each tensor. </div><div class="ttdef"><b>Definition:</b> tuple.h:437</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_aa99f425040db90b52f945007a2f11b73"><div class="ttname"><a href="classmxnet_1_1NDArray.html#aa99f425040db90b52f945007a2f11b73">mxnet::NDArray::ReshapeAndAlloc</a></div><div class="ttdeci">void ReshapeAndAlloc(const mxnet::TShape &shape)</div><div class="ttdoc">Allocate the space if the allocation has been delayed or the requested size is bigger than the availa...</div><div class="ttdef"><b>Definition:</b> ndarray.h:674</div></div> |
| <div class="ttc" id="namespacemxnet_html_a89a5f0f5cfd9e1e94604a7b42dda818aabbc1ba0bb3f8647dcfd8bad69efdbb51"><div class="ttname"><a href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818aabbc1ba0bb3f8647dcfd8bad69efdbb51">mxnet::kNDArrayArgBeforeScalar</a></div><div class="ttdoc">all the use_vars should go before scalar </div><div class="ttdef"><b>Definition:</b> ndarray.h:1290</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a531a3437dde0dfc9b0c40a32450f4c7a"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a531a3437dde0dfc9b0c40a32450f4c7a">mxnet::NDArray::CheckAndAlloc</a></div><div class="ttdeci">void CheckAndAlloc() const</div><div class="ttdoc">Allocate the space if it is delayed allocated. This is an internal function used by system that norma...</div><div class="ttdef"><b>Definition:</b> ndarray.h:660</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_aa30cf4bfe565044616228286b8334931"><div class="ttname"><a href="classmxnet_1_1NDArray.html#aa30cf4bfe565044616228286b8334931">mxnet::NDArray::storage_shape</a></div><div class="ttdeci">const mxnet::TShape & storage_shape() const</div><div class="ttdef"><b>Definition:</b> ndarray.h:229</div></div> |
| <div class="ttc" id="structmxnet_1_1NDArrayFunctionReg_html_a9591e2abf6cbca0903aec582b96b4d95"><div class="ttname"><a href="structmxnet_1_1NDArrayFunctionReg.html#a9591e2abf6cbca0903aec582b96b4d95">mxnet::NDArrayFunctionReg::num_scalars</a></div><div class="ttdeci">unsigned num_scalars</div><div class="ttdoc">number of scalars used by this function </div><div class="ttdef"><b>Definition:</b> ndarray.h:1312</div></div> |
| <div class="ttc" id="classmxnet_1_1Engine_html_ae0a23da15ef63d9479c7468e1f2f825f"><div class="ttname"><a href="classmxnet_1_1Engine.html#ae0a23da15ef63d9479c7468e1f2f825f">mxnet::Engine::Get</a></div><div class="ttdeci">static Engine * Get()</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_ac5858cd154fbf68f832c2717f4f925e8"><div class="ttname"><a href="classmxnet_1_1NDArray.html#ac5858cd154fbf68f832c2717f4f925e8">mxnet::NDArray::NDArray</a></div><div class="ttdeci">NDArray(int shared_pid, int shared_id, const mxnet::TShape &shape, int dtype)</div><div class="ttdoc">create ndarray from shared memory </div><div class="ttdef"><b>Definition:</b> ndarray.h:155</div></div> |
| <div class="ttc" id="3rdparty_2dmlc-core_2include_2dmlc_2base_8h_html"><div class="ttname"><a href="3rdparty_2dmlc-core_2include_2dmlc_2base_8h.html">base.h</a></div></div> |
| <div class="ttc" id="3rdparty_2mshadow_2mshadow_2base_8h_html_af67c41c06afea92ccf285ae8501e2316"><div class="ttname"><a href="3rdparty_2mshadow_2mshadow_2base_8h.html#af67c41c06afea92ccf285ae8501e2316">MSHADOW_TYPE_SWITCH</a></div><div class="ttdeci">#define MSHADOW_TYPE_SWITCH(type, DType,...)</div><div class="ttdef"><b>Definition:</b> base.h:1074</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a58d6f716d7eebf822c75e841342d9feb"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a58d6f716d7eebf822c75e841342d9feb">mxnet::NDArray::NDArray</a></div><div class="ttdeci">NDArray(const mxnet::TShape &shape, Context ctx, bool delay_alloc=false, int dtype=mshadow::default_type_flag)</div><div class="ttdoc">constructs a new dynamic NDArray </div><div class="ttdef"><b>Definition:</b> ndarray.h:94</div></div> |
| <div class="ttc" id="namespacemxnet_html_ace60510752753f459193f95cab0e9e1aa322b8b178929b43f1b4b16c8cb9003ef"><div class="ttname"><a href="namespacemxnet.html#ace60510752753f459193f95cab0e9e1aa322b8b178929b43f1b4b16c8cb9003ef">mxnet::kNormalErr</a></div><div class="ttdef"><b>Definition:</b> ndarray.h:68</div></div> |
| <div class="ttc" id="namespacemxnet_html_a6c29d398f4166fdc0f95f63ce0ef66ee"><div class="ttname"><a href="namespacemxnet.html#a6c29d398f4166fdc0f95f63ce0ef66ee">mxnet::shape_is_known</a></div><div class="ttdeci">bool shape_is_known(const TShape &x)</div><div class="ttdef"><b>Definition:</b> tuple.h:692</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_aa0ff3466e6ff09f8fe0a8019b53d5d42"><div class="ttname"><a href="classmxnet_1_1NDArray.html#aa0ff3466e6ff09f8fe0a8019b53d5d42">mxnet::NDArray::shape</a></div><div class="ttdeci">const mxnet::TShape & shape() const</div><div class="ttdef"><b>Definition:</b> ndarray.h:221</div></div> |
| <div class="ttc" id="namespacemshadow_html"><div class="ttname"><a href="namespacemshadow.html">mshadow</a></div><div class="ttdoc">overloaded + operator between half_t and bf16_t </div><div class="ttdef"><b>Definition:</b> base.h:334</div></div> |
| <div class="ttc" id="namespacemxnet_html_abadedc1b42ee3e5b8852e63783b982ef"><div class="ttname"><a href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">mxnet::index_t</a></div><div class="ttdeci">mshadow::index_t index_t</div><div class="ttdoc">index type usually use unsigned </div><div class="ttdef"><b>Definition:</b> base.h:94</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a65b47e2d501a8e623ea70c0ae88b789e"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a65b47e2d501a8e623ea70c0ae88b789e">mxnet::NDArray::AsArray</a></div><div class="ttdeci">NDArray AsArray(const mxnet::TShape &shape, int dtype) const</div><div class="ttdoc">Create a NDArray that shares memory with current one The new array must have smaller memory size than...</div><div class="ttdef"><b>Definition:</b> ndarray.h:563</div></div> |
| <div class="ttc" id="structmxnet_1_1Storage_1_1Handle_html_ab93b9db0c83e4ef3803fb587377a74a0"><div class="ttname"><a href="structmxnet_1_1Storage_1_1Handle.html#ab93b9db0c83e4ef3803fb587377a74a0">mxnet::Storage::Handle::size</a></div><div class="ttdeci">size_t size</div><div class="ttdoc">Size of the storage. </div><div class="ttdef"><b>Definition:</b> storage.h:48</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_ab5c172c0f1d77d212790583ba11a3cd2"><div class="ttname"><a href="classmxnet_1_1NDArray.html#ab5c172c0f1d77d212790583ba11a3cd2">mxnet::NDArray::IsSame</a></div><div class="ttdeci">bool IsSame(const NDArray &other) const</div><div class="ttdef"><b>Definition:</b> ndarray.h:211</div></div> |
| <div class="ttc" id="namespacemxnet_html_ad8e0dad88ce27133fd24811763b7afdb"><div class="ttname"><a href="namespacemxnet.html#ad8e0dad88ce27133fd24811763b7afdb">mxnet::SampleGenNegBinomial</a></div><div class="ttdeci">void SampleGenNegBinomial(real_t mu, real_t alpha, NDArray *out)</div><div class="ttdoc">Sample generalized negative binomial distribution for each elements of out. </div></div> |
| <div class="ttc" id="structmxnet_1_1Context_html"><div class="ttname"><a href="structmxnet_1_1Context.html">mxnet::Context</a></div><div class="ttdoc">Context information about the execution environment. </div><div class="ttdef"><b>Definition:</b> base.h:101</div></div> |
| <div class="ttc" id="namespacemxnet_html_aed55e8197182b7c66126902b2a43739a"><div class="ttname"><a href="namespacemxnet.html#aed55e8197182b7c66126902b2a43739a">mxnet::SamplePoisson</a></div><div class="ttdeci">void SamplePoisson(real_t lambda, NDArray *out)</div><div class="ttdoc">Sample Poisson distribution for each elements of out. </div></div> |
| <div class="ttc" id="classmxnet_1_1Tuple_html_a6e0bdfe3f0f34693223f657ef676bef6"><div class="ttname"><a href="classmxnet_1_1Tuple.html#a6e0bdfe3f0f34693223f657ef676bef6">mxnet::Tuple::ndim</a></div><div class="ttdeci">int ndim() const</div><div class="ttdef"><b>Definition:</b> tuple.h:217</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html"><div class="ttname"><a href="classmxnet_1_1NDArray.html">mxnet::NDArray</a></div><div class="ttdoc">ndarray interface </div><div class="ttdef"><b>Definition:</b> ndarray.h:81</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_afbfcf25b4e005007c40300c711c34f69"><div class="ttname"><a href="classmxnet_1_1NDArray.html#afbfcf25b4e005007c40300c711c34f69">mxnet::NDArray::NDArray</a></div><div class="ttdeci">NDArray(Context ctx, int dtype=mshadow::default_type_flag)</div><div class="ttdoc">constructs a new dynamic NDArray whose shape is unknown, hence the NDArray is inherently lazily creat...</div><div class="ttdef"><b>Definition:</b> ndarray.h:114</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_a1a7288505ac9bbb19830161f7e5c1a6f"><div class="ttname"><a href="classmxnet_1_1NDArray.html#a1a7288505ac9bbb19830161f7e5c1a6f">mxnet::NDArray::NDArray</a></div><div class="ttdeci">NDArray(const TBlob &data, int dev_id)</div><div class="ttdoc">constructing a static NDArray that shares data with TBlob Use with caution: allocate ONLY ONE NDArray...</div><div class="ttdef"><b>Definition:</b> ndarray.h:128</div></div> |
| <div class="ttc" id="namespacemxnet_html_a15dfd6f3fa03dc2cf39dbab1225e1a51"><div class="ttname"><a href="namespacemxnet.html#a15dfd6f3fa03dc2cf39dbab1225e1a51">mxnet::ElementwiseSum</a></div><div class="ttdeci">void ElementwiseSum(const std::vector< NDArray > &source, NDArray *out, int priority=0)</div><div class="ttdoc">Perform elementwise sum over each data from source, store result into out. </div></div> |
| <div class="ttc" id="namespacemxnet_html_ab0d55b0edf98cf8f3caeb050662ae9ec"><div class="ttname"><a href="namespacemxnet.html#ab0d55b0edf98cf8f3caeb050662ae9ec">mxnet::NDArrayAPIFunction</a></div><div class="ttdeci">std::function< void(NDArray **used_vars, real_t *scalars, NDArray **mutate_vars, int num_params, char **param_keys, char **param_vals)> NDArrayAPIFunction</div><div class="ttdoc">definition of NDArray function </div><div class="ttdef"><b>Definition:</b> ndarray.h:1286</div></div> |
| <div class="ttc" id="classnnvm_1_1Symbol_html"><div class="ttname"><a href="classnnvm_1_1Symbol.html">nnvm::Symbol</a></div><div class="ttdoc">Symbol is help class used to represent the operator node in Graph. </div><div class="ttdef"><b>Definition:</b> symbolic.h:50</div></div> |
| <div class="ttc" id="namespacemxnet_html_ae82f70918b2d946f7ad66a158b1733dc"><div class="ttname"><a href="namespacemxnet.html#ae82f70918b2d946f7ad66a158b1733dc">mxnet::SampleNegBinomial</a></div><div class="ttdeci">void SampleNegBinomial(int32_t k, real_t p, NDArray *out)</div><div class="ttdoc">Sample negative binomial distribution for each elements of out. </div></div> |
| <div class="ttc" id="structmxnet_1_1NDArrayFunctionReg_html_a220e1866bea35e103adbe23ff92855d9"><div class="ttname"><a href="structmxnet_1_1NDArrayFunctionReg.html#a220e1866bea35e103adbe23ff92855d9">mxnet::NDArrayFunctionReg::set_function</a></div><div class="ttdeci">NDArrayFunctionReg & set_function(void(*fgeneric)(NDArray **used_vars, real_t *s, NDArray **mutate_vars, const std::map< std::string, std::string > &param))</div><div class="ttdoc">set the function body to a unary NDArray function this will also auto set the parameters correctly ...</div><div class="ttdef"><b>Definition:</b> ndarray.h:1422</div></div> |
| <div class="ttc" id="type__traits_8h_html"><div class="ttname"><a href="type__traits_8h.html">type_traits.h</a></div><div class="ttdoc">type traits information header </div></div> |
| <div class="ttc" id="structmxnet_1_1Storage_1_1Handle_html_ac92111bc6d73d7402331615506684b74"><div class="ttname"><a href="structmxnet_1_1Storage_1_1Handle.html#ac92111bc6d73d7402331615506684b74">mxnet::Storage::Handle::shared_pid</a></div><div class="ttdeci">int shared_pid</div><div class="ttdoc">Id for IPC shared memory. </div><div class="ttdef"><b>Definition:</b> storage.h:56</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html"><div class="ttname"><a href="classmxnet_1_1TBlob.html">mxnet::TBlob</a></div><div class="ttdoc">tensor blob class that can be used to hold tensor of any dimension, any device and any data type...</div><div class="ttdef"><b>Definition:</b> tensor_blob.h:65</div></div> |
| <div class="ttc" id="namespacemxnet_html_a050beaa505f11e0b844deb91efe0cac2"><div class="ttname"><a href="namespacemxnet.html#a050beaa505f11e0b844deb91efe0cac2">mxnet::SampleGamma</a></div><div class="ttdeci">void SampleGamma(real_t alpha, real_t beta, NDArray *out)</div><div class="ttdoc">Sample gamma distribution for each elements of out. </div></div> |
| <div class="ttc" id="namespacemxnet_html_a502e3e00dc61cedb9c6eef711f1176ac"><div class="ttname"><a href="namespacemxnet.html#a502e3e00dc61cedb9c6eef711f1176ac">mxnet::operator/</a></div><div class="ttdeci">NDArray operator/(const NDArray &lhs, const NDArray &rhs)</div><div class="ttdoc">elementwise division </div></div> |
| <div class="ttc" id="namespacemxnet_html_a89a5f0f5cfd9e1e94604a7b42dda818a"><div class="ttname"><a href="namespacemxnet.html#a89a5f0f5cfd9e1e94604a7b42dda818a">mxnet::NDArrayFunctionTypeMask</a></div><div class="ttdeci">NDArrayFunctionTypeMask</div><div class="ttdoc">mask information on how functions can be exposed </div><div class="ttdef"><b>Definition:</b> ndarray.h:1288</div></div> |
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