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| <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_fdedb0aba14d44ce9d99bc100e026e6a.html">common</a></li> </ul> |
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| <div class="title">exec_utils.h</div> </div> |
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| <a href="exec__utils_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_COMMON_EXEC_UTILS_H_</span></div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define MXNET_COMMON_EXEC_UTILS_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="graph_8h.html">nnvm/graph.h</a>></span></div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include <<a class="code" href="pass__functions_8h.html">nnvm/pass_functions.h</a>></span></div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include <map></span></div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include <vector></span></div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include <string></span></div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include <utility></span></div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "../common/utils.h"</span></div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "../imperative/exec_pass.h"</span></div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  </div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">namespace </span><a class="code" href="namespacemxnet.html">mxnet</a> {</div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">namespace </span>common {</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  </div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#if MXNET_USE_ONEDNN == 1</span></div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment">// We have to make sure it's default storage and default layout.</span></div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#define DEFAULT_DATA(x) x.IsDefaultData()</span></div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#else</span></div> |
| <div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="exec__utils_8h.html#a68d0feab615a9d4791bf4cad3a6ee47b"> 43</a></span> <span class="preprocessor">#define DEFAULT_DATA(x) (x.storage_type() == kDefaultStorage)</span></div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="preprocessor">#endif</span></div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  </div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment">/*</span></div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment"> * \brief setup default-storage tblobs from source NDArrays. If any source NDArray has non-default</span></div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"> * storage, it creates a temp NDArray with default storage and uses the temp tblob. The</span></div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"> * function also records the indices of non-default source NDArrays and the indices of</span></div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> * their corresponding temporary NDArrays in the temp array.</span></div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"> * \param src list of source NDArray</span></div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> * \param blobs list of tblobs to return</span></div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> * \param temp_src list of source NDArrays which requires temporary default storage representation</span></div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> * \param temp_dst list of temporary destination NDArrays for default storage representation</span></div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> * \param idx_map mapping from indices in source NDArrays to indices in temp_dst. When not set,</span></div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> indices are not recorded</span></div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> * \return true if any source NDArray need to cast storage</span></div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> */</span></div> |
| <div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#a2262a78f3d80b9adeb3b517246fe4335"> 59</a></span> <span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="namespacemxnet_1_1common.html#a2262a78f3d80b9adeb3b517246fe4335">SetupDefaultBlobsIn</a>(<span class="keyword">const</span> std::vector<NDArray>& src,</div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">const</span> std::vector<NDArray>* bufs,</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  std::vector<TBlob>* blobs,</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  std::vector<NDArray>* temp_src,</div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  std::vector<NDArray>* temp_dst,</div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  std::unordered_map<uint32_t, uint32_t>* idx_map) {</div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordtype">bool</span> require_cast = <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < src.size(); i++) {</div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& nd = src[i];</div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">if</span> (!<a class="code" href="exec__utils_8h.html#a68d0feab615a9d4791bf4cad3a6ee47b">DEFAULT_DATA</a>(nd)) {</div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  (*idx_map)[i] = temp_dst->size();</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> temp =</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  bufs != <span class="keyword">nullptr</span> ? bufs->at(i) : <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a>(nd.shape(), nd.ctx(), <span class="keyword">true</span>, nd.dtype());</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="preprocessor">#if MXNET_USE_ONEDNN == 1</span></div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  CHECK(temp.IsDefaultData());</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="preprocessor">#endif</span></div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  temp_src->emplace_back(nd);</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  temp_dst->emplace_back(temp);</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  blobs->emplace_back(temp.<a class="code" href="classmxnet_1_1NDArray.html#ade5c291caf0e240892b1bffaf7e5c8b5">data</a>());</div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  require_cast = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  } <span class="keywordflow">else</span> {</div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  blobs->push_back(nd.data());</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  }</div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">return</span> require_cast;</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span> }</div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  </div> |
| <div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#a28bf4d1e9b7392f106950b00de5a2c62"> 86</a></span> <span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="namespacemxnet_1_1common.html#a28bf4d1e9b7392f106950b00de5a2c62">SetupDefaultBlobsOut</a>(<span class="keyword">const</span> std::vector<NDArray>& src,</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">const</span> std::vector<NDArray>* bufs,</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  std::vector<OpReqType>* req,</div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  std::vector<TBlob>* blobs,</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  std::vector<NDArray>* temp_src,</div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  std::vector<NDArray>* temp_dst) {</div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordtype">bool</span> require_cast = <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < src.size(); i++) {</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& nd = src[i];</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  </div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="preprocessor">#if MXNET_USE_ONEDNN == 1</span></div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">if</span> (req->at(i) == <a class="code" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398a640322face587ca12684378d0f053d51">kWriteInplace</a> && nd.IsDNNLData())</div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// If it's write inplace and the output array doesn't use the default</span></div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="comment">// layout, we'll generate a temporary output array below, which means</span></div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="comment">// the input array and the output array are no longer the same array.</span></div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="comment">// we should change the request type.</span></div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  req->at(i) = <a class="code" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398a03b4c19f34d3add7deecd7ef6c54b42a">kWriteTo</a>;</div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="comment">// We have to make sure it's default storage and default layout.</span></div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="preprocessor">#endif</span></div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">if</span> (!<a class="code" href="exec__utils_8h.html#a68d0feab615a9d4791bf4cad3a6ee47b">DEFAULT_DATA</a>(nd)) {</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="preprocessor">#if MXNET_USE_ONEDNN == 1</span></div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> temp;</div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">if</span> (bufs != <span class="keyword">nullptr</span>) {</div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  temp = bufs->at(i);</div> |
| <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398a1b850737dba4d2c42a2687d14c10f383">kAddTo</a> == req->at(i)) {</div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  temp = nd.IsDNNLData() ? nd.Reorder2Default() : nd;</div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  } <span class="keywordflow">else</span> {</div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  temp = <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a>(nd.shape(), nd.ctx(), <span class="keyword">true</span>, nd.dtype());</div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  }</div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  CHECK(temp.IsDefaultData());</div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="preprocessor">#else</span></div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> temp =</div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  bufs != <span class="keyword">nullptr</span> ? bufs->at(i) : <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a>(nd.shape(), nd.ctx(), <span class="keyword">true</span>, nd.dtype());</div> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="preprocessor">#endif</span></div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  temp_src->emplace_back(nd);</div> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  temp_dst->emplace_back(temp);</div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  blobs->emplace_back(temp.<a class="code" href="classmxnet_1_1NDArray.html#ade5c291caf0e240892b1bffaf7e5c8b5">data</a>());</div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  require_cast = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  } <span class="keywordflow">else</span> {</div> |
| <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  blobs->push_back(nd.data());</div> |
| <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  }</div> |
| <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  }</div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">return</span> require_cast;</div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span> }</div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  </div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="comment">/*</span></div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="comment"> * \brief setup default-storage tblobs for input and output NDArrays.</span></div> |
| <div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="comment"> * If any NDArray has non-default storage,</span></div> |
| <div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="comment"> * it creates a temp NDArray with default storage and uses the temp tblob. The</span></div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="comment"> * function also records the indices of non-default source NDArrays and the indices of</span></div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="comment"> * their corresponding temporary NDArrays in the temp array.</span></div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="comment"> */</span></div> |
| <div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#a2dc5d03c700c90be66f47c4f46d2ef6a"> 138</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet_1_1common.html#a2dc5d03c700c90be66f47c4f46d2ef6a">SetupDefaultBlobsInOut</a>(<span class="keyword">const</span> std::vector<NDArray>& ndinputs,</div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keyword">const</span> std::vector<NDArray>& ndoutputs,</div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keyword">const</span> std::vector<NDArray>* in_bufs,</div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">const</span> std::vector<NDArray>* out_bufs,</div> |
| <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  std::vector<OpReqType>* req,</div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  std::vector<TBlob>* input_blobs,</div> |
| <div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  std::vector<TBlob>* output_blobs,</div> |
| <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  std::vector<NDArray>* pre_temp_src,</div> |
| <div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  std::vector<NDArray>* pre_temp_dst,</div> |
| <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  std::vector<NDArray>* post_temp_src,</div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  std::vector<NDArray>* post_temp_dst,</div> |
| <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  std::unordered_map<uint32_t, uint32_t>* in_temp_idx_map,</div> |
| <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keyword">const</span> std::vector<uint32_t>& mutate_idx) {</div> |
| <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="comment">// populate input blobs</span></div> |
| <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="namespacemxnet_1_1common.html#a2262a78f3d80b9adeb3b517246fe4335">SetupDefaultBlobsIn</a>(ndinputs, in_bufs, input_blobs, pre_temp_src, pre_temp_dst, in_temp_idx_map);</div> |
| <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">// populate output blobs</span></div> |
| <div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="namespacemxnet_1_1common.html#a28bf4d1e9b7392f106950b00de5a2c62">SetupDefaultBlobsOut</a>(ndoutputs, out_bufs, req, output_blobs, post_temp_dst, post_temp_src);</div> |
| <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">// add mutable inputs to post temp list</span></div> |
| <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> idx : mutate_idx) {</div> |
| <div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keyword">auto</span> map_iter = in_temp_idx_map->find(idx);</div> |
| <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordflow">if</span> (map_iter != in_temp_idx_map->end()) {</div> |
| <div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  post_temp_src->push_back(pre_temp_dst->at(map_iter->second));</div> |
| <div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  post_temp_dst->push_back(ndinputs[idx]);</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="l00163"></a><span class="lineno"> 163</span> }</div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  </div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="comment">/*</span></div> |
| <div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="comment"> * \brief cast the NDArrays in `src` and store the result in NDArrays in `dst`.</span></div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="comment"> * This is only used for storage fallback in executor.</span></div> |
| <div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="comment"> * \param src list of source NDArray to cast</span></div> |
| <div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="comment"> * \param dst list of destionation NDArray which hold the result of cast_storage operation</span></div> |
| <div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="comment"> * \param ctx operator context for cast_storage operation</span></div> |
| <div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="comment"> */</span></div> |
| <div class="line"><a name="l00172"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#a12f6653ed0571a1bc16afdfcf525c841"> 172</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet_1_1common.html#a12f6653ed0571a1bc16afdfcf525c841">CastNonDefaultStorage</a>(<span class="keyword">const</span> std::vector<NDArray>& src,</div> |
| <div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keyword">const</span> std::vector<NDArray>& dst,</div> |
| <div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">const</span> <a class="code" href="structmxnet_1_1OpContext.html">OpContext</a>& ctx,</div> |
| <div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> is_gpu) {</div> |
| <div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  CHECK_EQ(dst.size(), src.size());</div> |
| <div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < src.size(); i++) {</div> |
| <div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">if</span> (is_gpu) {</div> |
| <div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <span class="preprocessor">#if MXNET_USE_CUDA</span></div> |
| <div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  CastStorageDispatch<gpu>(ctx, src[i], dst[i]);</div> |
| <div class="line"><a name="l00181"></a><span class="lineno"> 181</span> <span class="preprocessor">#else</span></div> |
| <div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  LOG(FATAL) << <a class="code" href="libinfo_8h.html#a8e6134b0829b92e4ba36e3ef1ac506ec">MXNET_GPU_NOT_ENABLED_ERROR</a>;</div> |
| <div class="line"><a name="l00183"></a><span class="lineno"> 183</span> <span class="preprocessor">#endif</span></div> |
| <div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  } <span class="keywordflow">else</span> {</div> |
| <div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  CastStorageDispatch<cpu>(ctx, src[i], dst[i]);</div> |
| <div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  }</div> |
| <div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  }</div> |
| <div class="line"><a name="l00188"></a><span class="lineno"> 188</span> }</div> |
| <div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  </div> |
| <div class="line"><a name="l00193"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#a6369bac95f2e7080088927858937d7b0"> 193</a></span> <span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="namespacemxnet_1_1common.html#a6369bac95f2e7080088927858937d7b0">SameType</a>(<span class="keyword">const</span> <a class="code" href="structnnvm_1_1NodeAttrs.html">nnvm::NodeAttrs</a>& attrs,</div> |
| <div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  std::vector<int>* iattr,</div> |
| <div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  std::vector<int>* oattr) {</div> |
| <div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordtype">int</span> def_v = -1;</div> |
| <div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> v : *oattr) {</div> |
| <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">if</span> (v != -1) {</div> |
| <div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  def_v = v;</div> |
| <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  }</div> |
| <div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  }</div> |
| <div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">if</span> (def_v == -1) {</div> |
| <div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> v : *iattr) {</div> |
| <div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">if</span> (v != -1) {</div> |
| <div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  def_v = v;</div> |
| <div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordflow">break</span>;</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>  }</div> |
| <div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keywordflow">if</span> (def_v == -1)</div> |
| <div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span>& v : *oattr) {</div> |
| <div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  v = def_v;</div> |
| <div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  }</div> |
| <div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span>& v : *iattr) {</div> |
| <div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  v = def_v;</div> |
| <div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  }</div> |
| <div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l00220"></a><span class="lineno"> 220</span> }</div> |
| <div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  </div> |
| <div class="line"><a name="l00227"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#a33f2eeb2434d3cdab77227b62ecf3d31"> 227</a></span> <span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="namespacemxnet_1_1common.html#a33f2eeb2434d3cdab77227b62ecf3d31">DefaultStorageType</a>(<span class="keyword">const</span> <a class="code" href="structnnvm_1_1NodeAttrs.html">nnvm::NodeAttrs</a>& attrs,</div> |
| <div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> dev_mask,</div> |
| <div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <a class="code" href="namespacemxnet.html#aad5fec2b4bceabbf4b884460cc2e0a2b">DispatchMode</a>* dispatch_mode,</div> |
| <div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  std::vector<int>* iattr,</div> |
| <div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  std::vector<int>* oattr) {</div> |
| <div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordtype">bool</span> fallback = <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span>& v : *oattr) {</div> |
| <div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">if</span> (v == -1)</div> |
| <div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  v = <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>;</div> |
| <div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordflow">if</span> (v != <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>)</div> |
| <div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  fallback = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  }</div> |
| <div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span>& v : *iattr) {</div> |
| <div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordflow">if</span> (v == -1)</div> |
| <div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  v = <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>;</div> |
| <div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordflow">if</span> (v != <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>)</div> |
| <div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  fallback = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  }</div> |
| <div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">if</span> (*dispatch_mode == <a class="code" href="namespacemxnet.html#aad5fec2b4bceabbf4b884460cc2e0a2ba7934d40c7c17315d892e8d5d745b1c66">DispatchMode::kUndefined</a>) {</div> |
| <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keywordflow">if</span> (fallback) {</div> |
| <div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  *dispatch_mode = <a class="code" href="namespacemxnet.html#aad5fec2b4bceabbf4b884460cc2e0a2ba18bf63b4c196f79c9bca4ad8637e8fef">DispatchMode::kFComputeFallback</a>;</div> |
| <div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  } <span class="keywordflow">else</span> {</div> |
| <div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  *dispatch_mode = <a class="code" href="namespacemxnet.html#aad5fec2b4bceabbf4b884460cc2e0a2ba2157864769b54d1d0f8f9be63393e7d6">DispatchMode::kFCompute</a>;</div> |
| <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  }</div> |
| <div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  }</div> |
| <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l00253"></a><span class="lineno"> 253</span> }</div> |
| <div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  </div> |
| <div class="line"><a name="l00255"></a><span class="lineno"> 255</span> <span class="comment">// string representation of storage id</span></div> |
| <div class="line"><a name="l00256"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#ab24b30a630e9ebf963f763a99b48ebc5"> 256</a></span> <span class="keyword">inline</span> std::string <a class="code" href="namespacemxnet_1_1common.html#ab24b30a630e9ebf963f763a99b48ebc5">storage_str</a>(<span class="keywordtype">int</span> storage_id) {</div> |
| <div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  std::string str;</div> |
| <div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">if</span> (storage_id == -1) {</div> |
| <div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  str = <span class="stringliteral">"var (-1)"</span>;</div> |
| <div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (storage_id == -2) {</div> |
| <div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  str = <span class="stringliteral">"external storage (-2)"</span>;</div> |
| <div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  } <span class="keywordflow">else</span> {</div> |
| <div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  str = <span class="stringliteral">"group "</span> + <a class="code" href="namespacemxnet_1_1common_1_1cuda_1_1rtc_1_1util.html#a3e5473012f581b0d19655d2f299b97fd">std::to_string</a>(storage_id);</div> |
| <div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  }</div> |
| <div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">return</span> str;</div> |
| <div class="line"><a name="l00266"></a><span class="lineno"> 266</span> }</div> |
| <div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  </div> |
| <div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="comment">/* log the static memory plan of the graph. Example:</span></div> |
| <div class="line"><a name="l00269"></a><span class="lineno"> 269</span> <span class="comment"> node 0 var</span></div> |
| <div class="line"><a name="l00270"></a><span class="lineno"> 270</span> <span class="comment"> node 1 _copy</span></div> |
| <div class="line"><a name="l00271"></a><span class="lineno"> 271</span> <span class="comment"> input 0: [80,3,224,224] (47040 KB) -> var storage (-1)</span></div> |
| <div class="line"><a name="l00272"></a><span class="lineno"> 272</span> <span class="comment"> output 1: [80,3,224,224] (47040 KB) -> group 0</span></div> |
| <div class="line"><a name="l00273"></a><span class="lineno"> 273</span> <span class="comment"> node 2 var</span></div> |
| <div class="line"><a name="l00274"></a><span class="lineno"> 274</span> <span class="comment"> node 3 var</span></div> |
| <div class="line"><a name="l00275"></a><span class="lineno"> 275</span> <span class="comment"> node 4 var</span></div> |
| <div class="line"><a name="l00276"></a><span class="lineno"> 276</span> <span class="comment"> node 5 var</span></div> |
| <div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="comment"> node 6 BatchNorm</span></div> |
| <div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="comment"> input 1: [80,3,224,224] (47040 KB) -> group 0</span></div> |
| <div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="comment"> input 2: [3] (0 KB) -> var storage (-1)</span></div> |
| <div class="line"><a name="l00280"></a><span class="lineno"> 280</span> <span class="comment"> input 3: [3] (0 KB) -> var storage (-1)</span></div> |
| <div class="line"><a name="l00281"></a><span class="lineno"> 281</span> <span class="comment"> input 4: [3] (0 KB) -> var storage (-1)</span></div> |
| <div class="line"><a name="l00282"></a><span class="lineno"> 282</span> <span class="comment"> input 5: [3] (0 KB) -> var storage (-1)</span></div> |
| <div class="line"><a name="l00283"></a><span class="lineno"> 283</span> <span class="comment"> output 6: [80,3,224,224] (47040 KB) -> group 1</span></div> |
| <div class="line"><a name="l00284"></a><span class="lineno"> 284</span> <span class="comment"> output 7: [3] (0 KB) -> group 3</span></div> |
| <div class="line"><a name="l00285"></a><span class="lineno"> 285</span> <span class="comment"> output 8: [3] (0 KB) -> group 2</span></div> |
| <div class="line"><a name="l00286"></a><span class="lineno"> 286</span> <span class="comment"> ...</span></div> |
| <div class="line"><a name="l00287"></a><span class="lineno"> 287</span> <span class="comment"> */</span></div> |
| <div class="line"><a name="l00288"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#abcd04f4664c3f1db116cdf6d86236a87"> 288</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet_1_1common.html#abcd04f4664c3f1db116cdf6d86236a87">LogMemoryPlan</a>(<span class="keyword">const</span> <a class="code" href="classnnvm_1_1Graph.html">nnvm::Graph</a>& g) {</div> |
| <div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& idx = g.<a class="code" href="classnnvm_1_1Graph.html#a428b2c98b62c8e74d48094e9e4d2b35c">indexed_graph</a>();</div> |
| <div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& vshape = g.<a class="code" href="classnnvm_1_1Graph.html#ac3b5c307c14dd45179b0c916e8bb2220">GetAttr</a><<a class="code" href="namespacemxnet.html#a87e1c30aafac389774c6f4d905c0e5ea">mxnet::ShapeVector</a>>(<span class="stringliteral">"shape"</span>);</div> |
| <div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& vtype = g.<a class="code" href="classnnvm_1_1Graph.html#ac3b5c307c14dd45179b0c916e8bb2220">GetAttr</a><<a class="code" href="namespacennvm.html#af3047555e6bce725a8abba02b4155de9">nnvm::DTypeVector</a>>(<span class="stringliteral">"dtype"</span>);</div> |
| <div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="comment">// find node range</span></div> |
| <div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  uint32_t node_start = 0, node_end = idx.num_nodes();</div> |
| <div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keywordflow">if</span> (g.<a class="code" href="classnnvm_1_1Graph.html#a6590464798f3a02e9edfe760bd7ece22">attrs</a>.count(<span class="stringliteral">"node_range"</span>)) {</div> |
| <div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& <a class="code" href="namespacemshadow_1_1expr.html#aa410e6e15bde87d5f889aedfdf96a64e">range</a> = g.<a class="code" href="classnnvm_1_1Graph.html#ac3b5c307c14dd45179b0c916e8bb2220">GetAttr</a><std::pair<uint32_t, uint32_t> >(<span class="stringliteral">"node_range"</span>);</div> |
| <div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  node_start = <a class="code" href="namespacemshadow_1_1expr.html#aa410e6e15bde87d5f889aedfdf96a64e">range</a>.first;</div> |
| <div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  node_end = <a class="code" href="namespacemshadow_1_1expr.html#aa410e6e15bde87d5f889aedfdf96a64e">range</a>.second;</div> |
| <div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  }</div> |
| <div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordflow">for</span> (uint32_t nid = node_start; nid < node_end; ++nid) {</div> |
| <div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& inode = idx[nid];</div> |
| <div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">if</span> (inode.source->is_variable()) {</div> |
| <div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  LOG(INFO) << <span class="stringliteral">"node "</span> << nid << <span class="stringliteral">" var"</span>;</div> |
| <div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  } <span class="keywordflow">else</span> {</div> |
| <div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  LOG(INFO) << <span class="stringliteral">"node "</span> << nid << <span class="stringliteral">" "</span> << inode.source->attrs.op->name;</div> |
| <div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& e : inode.inputs) {</div> |
| <div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keyword">auto</span> eid = idx.entry_id(e);</div> |
| <div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordtype">size_t</span> kilo_bytes = vshape[eid].Size() * <a class="code" href="namespacemshadow.html#a2e0671a4ac1729d7f8996ba091f8e07c">mshadow::mshadow_sizeof</a>(vtype[eid]) / 1024;</div> |
| <div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  LOG(INFO) << <span class="stringliteral">"\t\tinput "</span> << eid << <span class="stringliteral">": "</span> << vshape[eid] << <span class="stringliteral">" ("</span> << kilo_bytes << <span class="stringliteral">" KB)"</span>;</div> |
| <div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  }</div> |
| <div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">for</span> (uint32_t index = 0; index < inode.source->num_outputs(); ++index) {</div> |
| <div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  uint32_t eid = idx.entry_id(nid, index);</div> |
| <div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keywordtype">size_t</span> kilo_bytes = vshape[eid].Size() * <a class="code" href="namespacemshadow.html#a2e0671a4ac1729d7f8996ba091f8e07c">mshadow::mshadow_sizeof</a>(vtype[eid]) / 1024;</div> |
| <div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  LOG(INFO) << <span class="stringliteral">"\t\toutput "</span> << eid << <span class="stringliteral">": "</span> << vshape[eid] << <span class="stringliteral">" ("</span> << kilo_bytes << <span class="stringliteral">" KB)"</span>;</div> |
| <div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  }</div> |
| <div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  }</div> |
| <div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  }</div> |
| <div class="line"><a name="l00317"></a><span class="lineno"> 317</span> }</div> |
| <div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  </div> |
| <div class="line"><a name="l00319"></a><span class="lineno"> 319</span> <span class="comment">/* log the static memory plan of the graph. Example:</span></div> |
| <div class="line"><a name="l00320"></a><span class="lineno"> 320</span> <span class="comment"> node 0 var</span></div> |
| <div class="line"><a name="l00321"></a><span class="lineno"> 321</span> <span class="comment"> node 1 _copy: fcompute</span></div> |
| <div class="line"><a name="l00322"></a><span class="lineno"> 322</span> <span class="comment"> input 0: default</span></div> |
| <div class="line"><a name="l00323"></a><span class="lineno"> 323</span> <span class="comment"> output 1: default</span></div> |
| <div class="line"><a name="l00324"></a><span class="lineno"> 324</span> <span class="comment"> node 2 var</span></div> |
| <div class="line"><a name="l00325"></a><span class="lineno"> 325</span> <span class="comment"> node 3 Convolution: fcompute</span></div> |
| <div class="line"><a name="l00326"></a><span class="lineno"> 326</span> <span class="comment"> input 1: default</span></div> |
| <div class="line"><a name="l00327"></a><span class="lineno"> 327</span> <span class="comment"> input 2: default</span></div> |
| <div class="line"><a name="l00328"></a><span class="lineno"> 328</span> <span class="comment"> output 3: default</span></div> |
| <div class="line"><a name="l00329"></a><span class="lineno"> 329</span> <span class="comment"> node 4 var</span></div> |
| <div class="line"><a name="l00330"></a><span class="lineno"> 330</span> <span class="comment"> node 5 var</span></div> |
| <div class="line"><a name="l00331"></a><span class="lineno"> 331</span> <span class="comment"> node 6 var</span></div> |
| <div class="line"><a name="l00332"></a><span class="lineno"> 332</span> <span class="comment"> node 7 var</span></div> |
| <div class="line"><a name="l00333"></a><span class="lineno"> 333</span> <span class="comment"> node 8 BatchNorm: fcompute</span></div> |
| <div class="line"><a name="l00334"></a><span class="lineno"> 334</span> <span class="comment"> input 3: default</span></div> |
| <div class="line"><a name="l00335"></a><span class="lineno"> 335</span> <span class="comment"> input 4: default</span></div> |
| <div class="line"><a name="l00336"></a><span class="lineno"> 336</span> <span class="comment"> input 5: default</span></div> |
| <div class="line"><a name="l00337"></a><span class="lineno"> 337</span> <span class="comment"> input 6: default</span></div> |
| <div class="line"><a name="l00338"></a><span class="lineno"> 338</span> <span class="comment"> input 7: default</span></div> |
| <div class="line"><a name="l00339"></a><span class="lineno"> 339</span> <span class="comment"> output 8: default</span></div> |
| <div class="line"><a name="l00340"></a><span class="lineno"> 340</span> <span class="comment"> output 9: default</span></div> |
| <div class="line"><a name="l00341"></a><span class="lineno"> 341</span> <span class="comment"> output 10: default</span></div> |
| <div class="line"><a name="l00342"></a><span class="lineno"> 342</span> <span class="comment"> ...</span></div> |
| <div class="line"><a name="l00343"></a><span class="lineno"> 343</span> <span class="comment"> */</span></div> |
| <div class="line"><a name="l00344"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#a497a260b6b4c473e4ad03477f500763e"> 344</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet_1_1common.html#a497a260b6b4c473e4ad03477f500763e">LogInferStorage</a>(<span class="keyword">const</span> <a class="code" href="classnnvm_1_1Graph.html">nnvm::Graph</a>& g) {</div> |
| <div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& idx = g.<a class="code" href="classnnvm_1_1Graph.html#a428b2c98b62c8e74d48094e9e4d2b35c">indexed_graph</a>();</div> |
| <div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& vstorage_type = g.<a class="code" href="classnnvm_1_1Graph.html#ac3b5c307c14dd45179b0c916e8bb2220">GetAttr</a><<a class="code" href="namespacemxnet.html#a6606bef15f41cccade14c9400e8447cf">StorageTypeVector</a>>(<span class="stringliteral">"storage_type"</span>);</div> |
| <div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& dispatch_modes = g.<a class="code" href="classnnvm_1_1Graph.html#ac3b5c307c14dd45179b0c916e8bb2220">GetAttr</a><<a class="code" href="namespacemxnet.html#a1183dd8b779392f7ddafe1b010a6a2fe">DispatchModeVector</a>>(<span class="stringliteral">"dispatch_mode"</span>);</div> |
| <div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  uint32_t node_start = 0, node_end = idx.num_nodes();</div> |
| <div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keywordflow">if</span> (g.<a class="code" href="classnnvm_1_1Graph.html#a6590464798f3a02e9edfe760bd7ece22">attrs</a>.count(<span class="stringliteral">"node_range"</span>)) {</div> |
| <div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& <a class="code" href="namespacemshadow_1_1expr.html#aa410e6e15bde87d5f889aedfdf96a64e">range</a> = g.<a class="code" href="classnnvm_1_1Graph.html#ac3b5c307c14dd45179b0c916e8bb2220">GetAttr</a><std::pair<uint32_t, uint32_t> >(<span class="stringliteral">"node_range"</span>);</div> |
| <div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  node_start = <a class="code" href="namespacemshadow_1_1expr.html#aa410e6e15bde87d5f889aedfdf96a64e">range</a>.first;</div> |
| <div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  node_end = <a class="code" href="namespacemshadow_1_1expr.html#aa410e6e15bde87d5f889aedfdf96a64e">range</a>.second;</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">for</span> (uint32_t nid = node_start; nid < node_end; ++nid) {</div> |
| <div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& inode = idx[nid];</div> |
| <div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">if</span> (inode.source->is_variable()) {</div> |
| <div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  LOG(INFO) << <span class="stringliteral">"node "</span> << nid << <span class="stringliteral">" var"</span>;</div> |
| <div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  } <span class="keywordflow">else</span> {</div> |
| <div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  LOG(INFO) << <span class="stringliteral">"node "</span> << nid << <span class="stringliteral">" "</span> << inode.source->attrs.op->name << <span class="stringliteral">": "</span></div> |
| <div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  << <a class="code" href="namespacemxnet_1_1common.html#a4716f6044f678090af8ae7ef3ace3a31">dispatch_mode_string</a>(dispatch_modes[nid]);</div> |
| <div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& e : inode.inputs) {</div> |
| <div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keyword">auto</span> eid = idx.entry_id(e);</div> |
| <div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  LOG(INFO) << <span class="stringliteral">"\t\tinput "</span> << eid << <span class="stringliteral">": "</span> << <a class="code" href="namespacemxnet_1_1common.html#ab379cd302d59005010ae29aff6e55009">stype_string</a>(vstorage_type[eid]);</div> |
| <div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  }</div> |
| <div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keywordflow">for</span> (uint32_t index = 0; index < inode.source->num_outputs(); ++index) {</div> |
| <div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  uint32_t eid = idx.entry_id(nid, index);</div> |
| <div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  LOG(INFO) << <span class="stringliteral">"\t\toutput "</span> << eid << <span class="stringliteral">": "</span> << <a class="code" href="namespacemxnet_1_1common.html#ab379cd302d59005010ae29aff6e55009">stype_string</a>(vstorage_type[eid]);</div> |
| <div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  }</div> |
| <div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  }</div> |
| <div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  }</div> |
| <div class="line"><a name="l00371"></a><span class="lineno"> 371</span> }</div> |
| <div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  </div> |
| <div class="line"><a name="l00381"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#a02752372972ae43c182e4994df2bddc5"> 381</a></span> <span class="keyword">inline</span> <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> <a class="code" href="namespacemxnet_1_1common.html#a02752372972ae43c182e4994df2bddc5">ReshapeOrCreate</a>(<span class="keyword">const</span> std::string& name,</div> |
| <div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a>& dest_arg_shape,</div> |
| <div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> dest_arg_dtype,</div> |
| <div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76a">NDArrayStorageType</a> dest_arg_stype,</div> |
| <div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keyword">const</span> <a class="code" href="structmxnet_1_1Context.html">Context</a>& ctx,</div> |
| <div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  std::unordered_map<std::string, NDArray>* shared_buffer,</div> |
| <div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordtype">bool</span> enable_row_sparse_sharing) {</div> |
| <div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keywordtype">bool</span> stype_shareable = dest_arg_stype == <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>;</div> |
| <div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="keywordflow">if</span> (enable_row_sparse_sharing) {</div> |
| <div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  stype_shareable = stype_shareable || dest_arg_stype == <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aac095f52c31076adc7207f4a4f17d7aa3">kRowSparseStorage</a>;</div> |
| <div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  }</div> |
| <div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="keyword">auto</span> it = shared_buffer->find(name);</div> |
| <div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordflow">if</span> (it != shared_buffer->end()) {</div> |
| <div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="comment">// check if size is large enough for sharing</span></div> |
| <div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keywordtype">bool</span> size_shareable = it->second.shape().Size() >= dest_arg_shape.<a class="code" href="classmxnet_1_1TShape.html#a505a8c1666a7aa7f6e4108b808e6a897">Size</a>();</div> |
| <div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keywordflow">if</span> (size_shareable && stype_shareable) { <span class="comment">// memory can be reused</span></div> |
| <div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  CHECK_EQ(it->second.dtype(), dest_arg_dtype)</div> |
| <div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  << <span class="stringliteral">"Requested arg array's dtype does not match that of the reusable ndarray"</span>;</div> |
| <div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  CHECK_EQ(it->second.storage_type(), dest_arg_stype)</div> |
| <div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  << <span class="stringliteral">"Requested arg array's stype does not match that of the reusable ndarray"</span>;</div> |
| <div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keywordflow">return</span> it->second.Reshape(dest_arg_shape);</div> |
| <div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (stype_shareable) {</div> |
| <div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  LOG(WARNING) << <span class="stringliteral">"Bucketing: data "</span> << name << <span class="stringliteral">" has a shape "</span> << dest_arg_shape</div> |
| <div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  << <span class="stringliteral">", which is larger than already allocated shape "</span> << it->second.shape()</div> |
| <div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  << <span class="stringliteral">". Need to re-allocate. Consider putting default bucket key to be "</span></div> |
| <div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  << <span class="stringliteral">"the bucket taking the largest input for better memory sharing."</span>;</div> |
| <div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="comment">// size is not large enough, creating a larger one for sharing</span></div> |
| <div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="comment">// the NDArrays in shared_buffer are guaranteed to be of shareable storages</span></div> |
| <div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  it->second = <a class="code" href="namespacemxnet_1_1common.html#aaa3cdf4e5f766e793e20d56b1fc4386e">InitZeros</a>(dest_arg_stype, dest_arg_shape, ctx, dest_arg_dtype);</div> |
| <div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keywordflow">return</span> it->second;</div> |
| <div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  } <span class="keywordflow">else</span> {</div> |
| <div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="comment">// not shareable storage</span></div> |
| <div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keywordflow">return</span> <a class="code" href="namespacemxnet_1_1common.html#aaa3cdf4e5f766e793e20d56b1fc4386e">InitZeros</a>(dest_arg_stype, dest_arg_shape, ctx, dest_arg_dtype);</div> |
| <div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  }</div> |
| <div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  } <span class="keywordflow">else</span> {</div> |
| <div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keyword">auto</span> ret = <a class="code" href="namespacemxnet_1_1common.html#aaa3cdf4e5f766e793e20d56b1fc4386e">InitZeros</a>(dest_arg_stype, dest_arg_shape, ctx, dest_arg_dtype);</div> |
| <div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keywordflow">if</span> (stype_shareable) {</div> |
| <div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  shared_buffer->emplace(name, ret);</div> |
| <div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  }</div> |
| <div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordflow">return</span> ret;</div> |
| <div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  } <span class="comment">// if (it != shared_buffer->end())</span></div> |
| <div class="line"><a name="l00422"></a><span class="lineno"> 422</span> }</div> |
| <div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  </div> |
| <div class="line"><a name="l00428"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#a19bebfe40260d14068675b893f6b1a6b"> 428</a></span> <span class="keyword">inline</span> <a class="code" href="classnnvm_1_1Graph.html">nnvm::Graph</a> <a class="code" href="namespacemxnet_1_1common.html#a19bebfe40260d14068675b893f6b1a6b">AssignContext</a>(<a class="code" href="classnnvm_1_1Graph.html">nnvm::Graph</a> g,</div> |
| <div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keyword">const</span> <a class="code" href="structmxnet_1_1Context.html">Context</a>& default_ctx,</div> |
| <div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="keyword">const</span> std::map<std::string, Context>& ctx_map,</div> |
| <div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="keyword">const</span> std::vector<Context>& in_arg_ctxes,</div> |
| <div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="keyword">const</span> std::vector<Context>& arg_grad_ctxes,</div> |
| <div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keyword">const</span> std::vector<Context>& aux_state_ctxes,</div> |
| <div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keyword">const</span> std::vector<OpReqType>& grad_req_types,</div> |
| <div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keywordtype">size_t</span> num_forward_inputs,</div> |
| <div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="keywordtype">size_t</span> num_forward_outputs) {</div> |
| <div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& idx = g.<a class="code" href="classnnvm_1_1Graph.html#a428b2c98b62c8e74d48094e9e4d2b35c">indexed_graph</a>();</div> |
| <div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& mutable_nodes = idx.<a class="code" href="classnnvm_1_1IndexedGraph.html#acb41409fded35e301fd9bf65186397fb">mutable_input_nodes</a>();</div> |
| <div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="comment">// default use default context.</span></div> |
| <div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="keywordflow">if</span> (ctx_map.size() == 0) {</div> |
| <div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  g.<a class="code" href="classnnvm_1_1Graph.html#a6590464798f3a02e9edfe760bd7ece22">attrs</a>[<span class="stringliteral">"context"</span>] =</div> |
| <div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  std::make_shared<nnvm::any>(exec::ContextVector(idx.num_nodes(), default_ctx));</div> |
| <div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& x : in_arg_ctxes) {</div> |
| <div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  CHECK(x == default_ctx) << <span class="stringliteral">"Input array is in "</span> << x</div> |
| <div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  << <span class="stringliteral">" while binding with ctx="</span> << default_ctx</div> |
| <div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  << <span class="stringliteral">". All arguments must be in global context ("</span> << default_ctx</div> |
| <div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  << <span class="stringliteral">") unless group2ctx is specified for cross-device graph."</span>;</div> |
| <div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  }</div> |
| <div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& x : arg_grad_ctxes) {</div> |
| <div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  CHECK(x == default_ctx) << <span class="stringliteral">"Gradient array is in "</span> << x</div> |
| <div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  << <span class="stringliteral">" while binding with ctx="</span> << default_ctx</div> |
| <div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  << <span class="stringliteral">". All gradients must be in global context ("</span> << default_ctx</div> |
| <div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  << <span class="stringliteral">") unless group2ctx is specified for cross-device graph."</span>;</div> |
| <div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  }</div> |
| <div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="keywordflow">return</span> g;</div> |
| <div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  }</div> |
| <div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  </div> |
| <div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="comment">// otherwise, use context assignment.</span></div> |
| <div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  std::map<Context, int> ctx2id; <span class="comment">// map ctx to device id</span></div> |
| <div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  std::vector<Context> ctx_list; <span class="comment">// index is device id</span></div> |
| <div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <a class="code" href="namespacennvm.html#a94df41af9f53acd922091f62baab0f81">nnvm::DeviceVector</a> device(idx.num_nodes(), -1); <span class="comment">// index is node id</span></div> |
| <div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <a class="code" href="namespacennvm.html#a52d908d5e1bfdbd544f1b6d2c99682cc">nnvm::DeviceAssignMap</a> device_map; <span class="comment">// map arg name to device id</span></div> |
| <div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  </div> |
| <div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="comment">// loop through the user input ctx_map and</span></div> |
| <div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="comment">// populate maps and lists</span></div> |
| <div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& kv : ctx_map) {</div> |
| <div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="keywordflow">if</span> (ctx2id.count(kv.second) == 0) { <span class="comment">// if context has no device id, create one</span></div> |
| <div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  ctx2id[kv.second] = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(ctx_list.size()); <span class="comment">// assign device id to ctx</span></div> |
| <div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  ctx_list.push_back(kv.second); <span class="comment">// save ctx to the list</span></div> |
| <div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  }</div> |
| <div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="comment">// assign device id to to the arg name with the corresponding ctx</span></div> |
| <div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  device_map[kv.first] = ctx2id.at(kv.second);</div> |
| <div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  }</div> |
| <div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  </div> |
| <div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="comment">// loop through all the rest of input nodes not specified</span></div> |
| <div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="comment">// in the ctx_map and populate maps and lists</span></div> |
| <div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keywordtype">size_t</span> arg_top = 0, aux_top = 0;</div> |
| <div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < num_forward_inputs; ++i) {</div> |
| <div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keyword">const</span> uint32_t nid = idx.input_nodes().at(i);</div> |
| <div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <a class="code" href="structmxnet_1_1Context.html">Context</a> ctx;</div> |
| <div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keywordflow">if</span> (mutable_nodes.count(nid)) { <span class="comment">// aux node is mutable</span></div> |
| <div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  CHECK_LT(aux_top, aux_state_ctxes.size());</div> |
| <div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  ctx = aux_state_ctxes[aux_top];</div> |
| <div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  ++aux_top;</div> |
| <div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  } <span class="keywordflow">else</span> { <span class="comment">// regular input node is immutable</span></div> |
| <div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  CHECK_LT(arg_top, in_arg_ctxes.size());</div> |
| <div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  ctx = in_arg_ctxes[arg_top];</div> |
| <div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  ++arg_top;</div> |
| <div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  }</div> |
| <div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keywordflow">if</span> (ctx2id.count(ctx) == 0) { <span class="comment">// if the current ctx is not in the map of ctx and device id</span></div> |
| <div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  ctx2id[ctx] = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(ctx_list.size()); <span class="comment">// assign the current ctx with device id</span></div> |
| <div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  ctx_list.push_back(ctx); <span class="comment">// save the current ctx in the list</span></div> |
| <div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  }</div> |
| <div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  device[nid] = ctx2id.at(ctx); <span class="comment">// assign device id to the current node</span></div> |
| <div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  }</div> |
| <div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  </div> |
| <div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="comment">// loop through backward input nodes and populate maps and lists</span></div> |
| <div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="comment">// the backward input nodes is the gradient of the loss wrt the output</span></div> |
| <div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keywordtype">size_t</span> arg_grad_offset = 0;</div> |
| <div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="comment">// keep an offset into the arg_grad_ctxes vector,</span></div> |
| <div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="comment">// since g.outputs exclude arg_grad whose req == null</span></div> |
| <div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  CHECK_GE(grad_req_types.size(), g.<a class="code" href="classnnvm_1_1Graph.html#a1be6cd069643a2608625df12f49423eb">outputs</a>.size() - num_forward_outputs)</div> |
| <div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  << <span class="stringliteral">"insufficient number of grad_reqs"</span>;</div> |
| <div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = num_forward_outputs; i < g.<a class="code" href="classnnvm_1_1Graph.html#a1be6cd069643a2608625df12f49423eb">outputs</a>.size(); ++i, ++arg_grad_offset) {</div> |
| <div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keywordflow">while</span> (grad_req_types[arg_grad_offset] == <a class="code" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398a001b85096e07108e174fe4c406368a26">kNullOp</a>)</div> |
| <div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  ++arg_grad_offset;</div> |
| <div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keyword">const</span> uint32_t nid = idx.outputs()[i].node_id;</div> |
| <div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <a class="code" href="structmxnet_1_1Context.html">Context</a> ctx = arg_grad_ctxes[arg_grad_offset];</div> |
| <div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <span class="keywordflow">if</span> (ctx2id.count(ctx) == 0) {</div> |
| <div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  ctx2id[ctx] = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(ctx_list.size());</div> |
| <div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  ctx_list.push_back(ctx);</div> |
| <div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  }</div> |
| <div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordtype">int</span> devid = ctx2id.at(ctx);</div> |
| <div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="keywordflow">if</span> (device[nid] != -1) {</div> |
| <div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  CHECK_EQ(device[nid], devid) << <span class="stringliteral">"device of same output not equal to each other"</span>;</div> |
| <div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  } <span class="keywordflow">else</span> {</div> |
| <div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  device[nid] = devid;</div> |
| <div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  }</div> |
| <div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  }</div> |
| <div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  </div> |
| <div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  g.<a class="code" href="classnnvm_1_1Graph.html#a6590464798f3a02e9edfe760bd7ece22">attrs</a>[<span class="stringliteral">"device"</span>] = std::make_shared<dmlc::any>(std::move(device));</div> |
| <div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  g = <a class="code" href="namespacennvm_1_1pass.html#ad5d216c596bc52189f90b392e0e9b115">nnvm::pass::PlaceDevice</a>(g, <span class="stringliteral">"__ctx_group__"</span>, device_map, <span class="stringliteral">"_CrossDeviceCopy"</span>);</div> |
| <div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& assigned_devices = g.<a class="code" href="classnnvm_1_1Graph.html#ac3b5c307c14dd45179b0c916e8bb2220">GetAttr</a><<a class="code" href="namespacennvm.html#a94df41af9f53acd922091f62baab0f81">nnvm::DeviceVector</a>>(<span class="stringliteral">"device"</span>);</div> |
| <div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  </div> |
| <div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  exec::ContextVector vcontext;</div> |
| <div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> context : assigned_devices) {</div> |
| <div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keywordflow">if</span> (context == -1) {</div> |
| <div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  vcontext.push_back(default_ctx);</div> |
| <div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  } <span class="keywordflow">else</span> {</div> |
| <div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  vcontext.push_back(ctx_list[context]);</div> |
| <div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  }</div> |
| <div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  }</div> |
| <div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  </div> |
| <div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="comment">// after device planning, we should check again</span></div> |
| <div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="comment">// if the assigned device of gradient node</span></div> |
| <div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="comment">// corresponds to storage of grads</span></div> |
| <div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keyword">auto</span>& new_idx = g.<a class="code" href="classnnvm_1_1Graph.html#a428b2c98b62c8e74d48094e9e4d2b35c">indexed_graph</a>();</div> |
| <div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  arg_grad_offset = 0;</div> |
| <div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = num_forward_outputs; i < g.<a class="code" href="classnnvm_1_1Graph.html#a1be6cd069643a2608625df12f49423eb">outputs</a>.size(); ++i, ++arg_grad_offset) {</div> |
| <div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="keywordflow">while</span> (grad_req_types[arg_grad_offset] == <a class="code" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398a001b85096e07108e174fe4c406368a26">kNullOp</a>)</div> |
| <div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  ++arg_grad_offset;</div> |
| <div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keyword">const</span> uint32_t nid = new_idx.<a class="code" href="classnnvm_1_1IndexedGraph.html#a9dc0c49b8629d32a3ec12bcc2b0df549">outputs</a>()[i].node_id;</div> |
| <div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <a class="code" href="structmxnet_1_1Context.html">Context</a> ctx = arg_grad_ctxes[arg_grad_offset];</div> |
| <div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  CHECK(ctx == vcontext[nid]) << <span class="stringliteral">"Trying to save gradient to "</span> << ctx</div> |
| <div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  << <span class="stringliteral">" while its source node \""</span> << new_idx[nid].source->attrs.name</div> |
| <div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  << <span class="stringliteral">"\" computes it on "</span> << vcontext[nid]</div> |
| <div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  << <span class="stringliteral">". Check your ctx in NDArray allocation."</span>;</div> |
| <div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  }</div> |
| <div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  </div> |
| <div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  g.<a class="code" href="classnnvm_1_1Graph.html#a6590464798f3a02e9edfe760bd7ece22">attrs</a>[<span class="stringliteral">"context"</span>] = std::make_shared<nnvm::any>(std::move(vcontext));</div> |
| <div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="keywordflow">return</span> g;</div> |
| <div class="line"><a name="l00552"></a><span class="lineno"> 552</span> }</div> |
| <div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  </div> |
| <div class="line"><a name="l00562"></a><span class="lineno"> 562</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet_1_1common.html#a9d835d88a602aa1b8569b70f1d11e934">CopyGraph</a>(<a class="code" href="classnnvm_1_1Graph.html">nnvm::Graph</a>* dst, <span class="keyword">const</span> <a class="code" href="classnnvm_1_1Graph.html">nnvm::Graph</a>& src, <span class="keywordtype">bool</span> copy_variables);</div> |
| <div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  </div> |
| <div class="line"><a name="l00571"></a><span class="lineno"> 571</span> <span class="keywordtype">bool</span> <a class="code" href="namespacemxnet_1_1common.html#a6b4aa6dc54114ba01a1451be63a63e18">CheckForInputNameDuplicates</a>(<span class="keyword">const</span> <a class="code" href="classnnvm_1_1IndexedGraph.html">nnvm::IndexedGraph</a>& idx);</div> |
| <div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  </div> |
| <div class="line"><a name="l00573"></a><span class="lineno"> 573</span> } <span class="comment">// namespace common</span></div> |
| <div class="line"><a name="l00574"></a><span class="lineno"> 574</span> } <span class="comment">// namespace mxnet</span></div> |
| <div class="line"><a name="l00575"></a><span class="lineno"> 575</span> <span class="preprocessor">#endif // MXNET_COMMON_EXEC_UTILS_H_</span></div> |
| </div><!-- fragment --></div><!-- contents --> |
| <div class="ttc" id="anamespacemxnet_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="anamespacennvm_1_1pass_html_ad5d216c596bc52189f90b392e0e9b115"><div class="ttname"><a href="namespacennvm_1_1pass.html#ad5d216c596bc52189f90b392e0e9b115">nnvm::pass::PlaceDevice</a></div><div class="ttdeci">Graph PlaceDevice(Graph graph, std::string device_group_attr_key, DeviceAssignMap device_assign_map, std::string device_copy_op)</div><div class="ttdoc">Place the devices for each operator in the graph.</div><div class="ttdef"><b>Definition:</b> pass_functions.h:138</div></div> |
| <div class="ttc" id="anamespacemxnet_html_a7cd7094ef222e9ae1f520c3b6a214398a640322face587ca12684378d0f053d51"><div class="ttname"><a href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398a640322face587ca12684378d0f053d51">mxnet::kWriteInplace</a></div><div class="ttdeci">@ kWriteInplace</div><div class="ttdoc">perform an inplace write, This option only happen when Target shares memory with one of input argumen...</div><div class="ttdef"><b>Definition:</b> op_attr_types.h:55</div></div> |
| <div class="ttc" id="anamespacemxnet_html_a1183dd8b779392f7ddafe1b010a6a2fe"><div class="ttname"><a href="namespacemxnet.html#a1183dd8b779392f7ddafe1b010a6a2fe">mxnet::DispatchModeVector</a></div><div class="ttdeci">std::vector< DispatchMode > DispatchModeVector</div><div class="ttdoc">The result holder of dispatch mode of each Node in the graph.</div><div class="ttdef"><b>Definition:</b> graph_attr_types.h:60</div></div> |
| <div class="ttc" id="anamespacemxnet_1_1common_html_a6b4aa6dc54114ba01a1451be63a63e18"><div class="ttname"><a href="namespacemxnet_1_1common.html#a6b4aa6dc54114ba01a1451be63a63e18">mxnet::common::CheckForInputNameDuplicates</a></div><div class="ttdeci">bool CheckForInputNameDuplicates(const nnvm::IndexedGraph &idx)</div><div class="ttdoc">Check whether graph contains any duplicated names in its inputs.</div></div> |
| <div class="ttc" id="aclassnnvm_1_1IndexedGraph_html_acb41409fded35e301fd9bf65186397fb"><div class="ttname"><a href="classnnvm_1_1IndexedGraph.html#acb41409fded35e301fd9bf65186397fb">nnvm::IndexedGraph::mutable_input_nodes</a></div><div class="ttdeci">const std::unordered_set< uint32_t > & mutable_input_nodes() const</div><div class="ttdef"><b>Definition:</b> graph.h:181</div></div> |
| <div class="ttc" id="anamespacemxnet_1_1common_html_a6369bac95f2e7080088927858937d7b0"><div class="ttname"><a href="namespacemxnet_1_1common.html#a6369bac95f2e7080088927858937d7b0">mxnet::common::SameType</a></div><div class="ttdeci">bool SameType(const nnvm::NodeAttrs &attrs, std::vector< int > *iattr, std::vector< int > *oattr)</div><div class="ttdoc">The default type inference function, which assigns all undefined types to the same type of one of the...</div><div class="ttdef"><b>Definition:</b> exec_utils.h:193</div></div> |
| <div class="ttc" id="anamespacemxnet_html_a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608"><div class="ttname"><a href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">mxnet::kDefaultStorage</a></div><div class="ttdeci">@ kDefaultStorage</div><div class="ttdef"><b>Definition:</b> ndarray.h:63</div></div> |
| <div class="ttc" id="aclassnnvm_1_1Graph_html_a428b2c98b62c8e74d48094e9e4d2b35c"><div class="ttname"><a href="classnnvm_1_1Graph.html#a428b2c98b62c8e74d48094e9e4d2b35c">nnvm::Graph::indexed_graph</a></div><div class="ttdeci">const IndexedGraph & indexed_graph() const</div><div class="ttdoc">get a indexed graph of current graph, if not exist, create it on demand</div></div> |
| <div class="ttc" id="anamespacemxnet_1_1common_1_1cuda_1_1rtc_1_1util_html_a3e5473012f581b0d19655d2f299b97fd"><div class="ttname"><a href="namespacemxnet_1_1common_1_1cuda_1_1rtc_1_1util.html#a3e5473012f581b0d19655d2f299b97fd">mxnet::common::cuda::rtc::util::to_string</a></div><div class="ttdeci">std::string to_string(OpReqType req)</div><div class="ttdoc">Convert OpReqType to string.</div></div> |
| <div class="ttc" id="apass__functions_8h_html"><div class="ttname"><a href="pass__functions_8h.html">pass_functions.h</a></div><div class="ttdoc">Pass functions that simply redirect the calls to ApplyPass.</div></div> |
| <div class="ttc" id="aclassmxnet_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:298</div></div> |
| <div class="ttc" id="aclassnnvm_1_1Graph_html"><div class="ttname"><a href="classnnvm_1_1Graph.html">nnvm::Graph</a></div><div class="ttdoc">Symbolic computation graph. This is the intermediate representation for optimization pass.</div><div class="ttdef"><b>Definition:</b> graph.h:47</div></div> |
| <div class="ttc" id="anamespacemxnet_1_1common_html_a2dc5d03c700c90be66f47c4f46d2ef6a"><div class="ttname"><a href="namespacemxnet_1_1common.html#a2dc5d03c700c90be66f47c4f46d2ef6a">mxnet::common::SetupDefaultBlobsInOut</a></div><div class="ttdeci">void SetupDefaultBlobsInOut(const std::vector< NDArray > &ndinputs, const std::vector< NDArray > &ndoutputs, const std::vector< NDArray > *in_bufs, const std::vector< NDArray > *out_bufs, std::vector< OpReqType > *req, std::vector< TBlob > *input_blobs, std::vector< TBlob > *output_blobs, std::vector< NDArray > *pre_temp_src, std::vector< NDArray > *pre_temp_dst, std::vector< NDArray > *post_temp_src, std::vector< NDArray > *post_temp_dst, std::unordered_map< uint32_t, uint32_t > *in_temp_idx_map, const std::vector< uint32_t > &mutate_idx)</div><div class="ttdef"><b>Definition:</b> exec_utils.h:138</div></div> |
| <div class="ttc" id="anamespacemxnet_html_aad5fec2b4bceabbf4b884460cc2e0a2b"><div class="ttname"><a href="namespacemxnet.html#aad5fec2b4bceabbf4b884460cc2e0a2b">mxnet::DispatchMode</a></div><div class="ttdeci">DispatchMode</div><div class="ttdoc">the dispatch mode of the operator</div><div class="ttdef"><b>Definition:</b> op_attr_types.h:122</div></div> |
| <div class="ttc" id="anamespacemxnet_1_1common_html_a2262a78f3d80b9adeb3b517246fe4335"><div class="ttname"><a href="namespacemxnet_1_1common.html#a2262a78f3d80b9adeb3b517246fe4335">mxnet::common::SetupDefaultBlobsIn</a></div><div class="ttdeci">bool SetupDefaultBlobsIn(const std::vector< NDArray > &src, const std::vector< NDArray > *bufs, std::vector< TBlob > *blobs, std::vector< NDArray > *temp_src, std::vector< NDArray > *temp_dst, std::unordered_map< uint32_t, uint32_t > *idx_map)</div><div class="ttdef"><b>Definition:</b> exec_utils.h:59</div></div> |
| <div class="ttc" id="alibinfo_8h_html_a8e6134b0829b92e4ba36e3ef1ac506ec"><div class="ttname"><a href="libinfo_8h.html#a8e6134b0829b92e4ba36e3ef1ac506ec">MXNET_GPU_NOT_ENABLED_ERROR</a></div><div class="ttdeci">#define MXNET_GPU_NOT_ENABLED_ERROR</div><div class="ttdoc">Error message for using gpu when MXNET_USE_CUDA==0.</div><div class="ttdef"><b>Definition:</b> libinfo.h:77</div></div> |
| <div class="ttc" id="aclassnnvm_1_1IndexedGraph_html"><div class="ttname"><a href="classnnvm_1_1IndexedGraph.html">nnvm::IndexedGraph</a></div><div class="ttdoc">Auxiliary data structure to index a graph. It maps Nodes in the graph to consecutive integers node_id...</div><div class="ttdef"><b>Definition:</b> graph.h:108</div></div> |
| <div class="ttc" id="anamespacemxnet_1_1common_html_aaa3cdf4e5f766e793e20d56b1fc4386e"><div class="ttname"><a href="namespacemxnet_1_1common.html#aaa3cdf4e5f766e793e20d56b1fc4386e">mxnet::common::InitZeros</a></div><div class="ttdeci">NDArray InitZeros(const NDArrayStorageType stype, const mxnet::TShape &shape, const Context &ctx, const int dtype)</div><div class="ttdoc">Return an NDArray of all zeros.</div><div class="ttdef"><b>Definition:</b> utils.h:777</div></div> |
| <div class="ttc" id="anamespacemxnet_html_a7cd7094ef222e9ae1f520c3b6a214398a001b85096e07108e174fe4c406368a26"><div class="ttname"><a href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398a001b85096e07108e174fe4c406368a26">mxnet::kNullOp</a></div><div class="ttdeci">@ kNullOp</div><div class="ttdoc">no operation, do not write anything</div><div class="ttdef"><b>Definition:</b> op_attr_types.h:47</div></div> |
| <div class="ttc" id="anamespacemxnet_1_1common_html_a33f2eeb2434d3cdab77227b62ecf3d31"><div class="ttname"><a href="namespacemxnet_1_1common.html#a33f2eeb2434d3cdab77227b62ecf3d31">mxnet::common::DefaultStorageType</a></div><div class="ttdeci">bool DefaultStorageType(const nnvm::NodeAttrs &attrs, const int dev_mask, DispatchMode *dispatch_mode, std::vector< int > *iattr, std::vector< int > *oattr)</div><div class="ttdoc">The default storage type inference function, which assigns all undefined storage types to kDefaultSto...</div><div class="ttdef"><b>Definition:</b> exec_utils.h:227</div></div> |
| <div class="ttc" id="astructmxnet_1_1OpContext_html"><div class="ttname"><a href="structmxnet_1_1OpContext.html">mxnet::OpContext</a></div><div class="ttdoc">All the possible information needed by Operator. This is the superset of RunContext....</div><div class="ttdef"><b>Definition:</b> op_attr_types.h:66</div></div> |
| <div class="ttc" id="anamespacemxnet_html_a6606bef15f41cccade14c9400e8447cf"><div class="ttname"><a href="namespacemxnet.html#a6606bef15f41cccade14c9400e8447cf">mxnet::StorageTypeVector</a></div><div class="ttdeci">std::vector< int > StorageTypeVector</div><div class="ttdoc">The result holder of storage type of each NodeEntry in the graph.</div><div class="ttdef"><b>Definition:</b> graph_attr_types.h:45</div></div> |
| <div class="ttc" id="anamespacemxnet_1_1common_html_a9d835d88a602aa1b8569b70f1d11e934"><div class="ttname"><a href="namespacemxnet_1_1common.html#a9d835d88a602aa1b8569b70f1d11e934">mxnet::common::CopyGraph</a></div><div class="ttdeci">void CopyGraph(nnvm::Graph *dst, const nnvm::Graph &src, bool copy_variables)</div><div class="ttdoc">Copy the graph, optionally leaving original Variable nodes.</div></div> |
| <div class="ttc" id="anamespacemxnet_1_1common_html_ab24b30a630e9ebf963f763a99b48ebc5"><div class="ttname"><a href="namespacemxnet_1_1common.html#ab24b30a630e9ebf963f763a99b48ebc5">mxnet::common::storage_str</a></div><div class="ttdeci">std::string storage_str(int storage_id)</div><div class="ttdef"><b>Definition:</b> exec_utils.h:256</div></div> |
| <div class="ttc" id="aclassnnvm_1_1Graph_html_a6590464798f3a02e9edfe760bd7ece22"><div class="ttname"><a href="classnnvm_1_1Graph.html#a6590464798f3a02e9edfe760bd7ece22">nnvm::Graph::attrs</a></div><div class="ttdeci">std::unordered_map< std::string, std::shared_ptr< any > > attrs</div><div class="ttdoc">attributes of a graph Note that attribute is shared pointer and can be shared across graphs.</div><div class="ttdef"><b>Definition:</b> graph.h:61</div></div> |
| <div class="ttc" id="anamespacemxnet_html_aad5fec2b4bceabbf4b884460cc2e0a2ba18bf63b4c196f79c9bca4ad8637e8fef"><div class="ttname"><a href="namespacemxnet.html#aad5fec2b4bceabbf4b884460cc2e0a2ba18bf63b4c196f79c9bca4ad8637e8fef">mxnet::DispatchMode::kFComputeFallback</a></div><div class="ttdeci">@ kFComputeFallback</div></div> |
| <div class="ttc" id="anamespacemxnet_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:61</div></div> |
| <div class="ttc" id="aclassnnvm_1_1IndexedGraph_html_a9dc0c49b8629d32a3ec12bcc2b0df549"><div class="ttname"><a href="classnnvm_1_1IndexedGraph.html#a9dc0c49b8629d32a3ec12bcc2b0df549">nnvm::IndexedGraph::outputs</a></div><div class="ttdeci">const std::vector< NodeEntry > & outputs() const</div><div class="ttdef"><b>Definition:</b> graph.h:185</div></div> |
| <div class="ttc" id="astructnnvm_1_1NodeAttrs_html"><div class="ttname"><a href="structnnvm_1_1NodeAttrs.html">nnvm::NodeAttrs</a></div><div class="ttdoc">The attributes of the current operation node. Usually are additional parameters like axis,...</div><div class="ttdef"><b>Definition:</b> node.h:107</div></div> |
| <div class="ttc" id="anamespacennvm_html_a94df41af9f53acd922091f62baab0f81"><div class="ttname"><a href="namespacennvm.html#a94df41af9f53acd922091f62baab0f81">nnvm::DeviceVector</a></div><div class="ttdeci">std::vector< int > DeviceVector</div><div class="ttdoc">The result holder of device of each operator in the graph.</div><div class="ttdef"><b>Definition:</b> graph_attr_types.h:104</div></div> |
| <div class="ttc" id="aclassmxnet_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:82</div></div> |
| <div class="ttc" id="anamespacemxnet_1_1common_html_a12f6653ed0571a1bc16afdfcf525c841"><div class="ttname"><a href="namespacemxnet_1_1common.html#a12f6653ed0571a1bc16afdfcf525c841">mxnet::common::CastNonDefaultStorage</a></div><div class="ttdeci">void CastNonDefaultStorage(const std::vector< NDArray > &src, const std::vector< NDArray > &dst, const OpContext &ctx, const bool is_gpu)</div><div class="ttdef"><b>Definition:</b> exec_utils.h:172</div></div> |
| <div class="ttc" id="anamespacemshadow_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:1804</div></div> |
| <div class="ttc" id="anamespacemxnet_html_a7cd7094ef222e9ae1f520c3b6a214398a03b4c19f34d3add7deecd7ef6c54b42a"><div class="ttname"><a href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398a03b4c19f34d3add7deecd7ef6c54b42a">mxnet::kWriteTo</a></div><div class="ttdeci">@ kWriteTo</div><div class="ttdoc">write gradient to provided space</div><div class="ttdef"><b>Definition:</b> op_attr_types.h:49</div></div> |
| <div class="ttc" id="astructmxnet_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:90</div></div> |
| <div class="ttc" id="anamespacemxnet_1_1common_html_a28bf4d1e9b7392f106950b00de5a2c62"><div class="ttname"><a href="namespacemxnet_1_1common.html#a28bf4d1e9b7392f106950b00de5a2c62">mxnet::common::SetupDefaultBlobsOut</a></div><div class="ttdeci">bool SetupDefaultBlobsOut(const std::vector< NDArray > &src, const std::vector< NDArray > *bufs, std::vector< OpReqType > *req, std::vector< TBlob > *blobs, std::vector< NDArray > *temp_src, std::vector< NDArray > *temp_dst)</div><div class="ttdef"><b>Definition:</b> exec_utils.h:86</div></div> |
| <div class="ttc" id="aclassmxnet_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:523</div></div> |
| <div class="ttc" id="anamespacemxnet_1_1common_html_a19bebfe40260d14068675b893f6b1a6b"><div class="ttname"><a href="namespacemxnet_1_1common.html#a19bebfe40260d14068675b893f6b1a6b">mxnet::common::AssignContext</a></div><div class="ttdeci">nnvm::Graph AssignContext(nnvm::Graph g, const Context &default_ctx, const std::map< std::string, Context > &ctx_map, const std::vector< Context > &in_arg_ctxes, const std::vector< Context > &arg_grad_ctxes, const std::vector< Context > &aux_state_ctxes, const std::vector< OpReqType > &grad_req_types, size_t num_forward_inputs, size_t num_forward_outputs)</div><div class="ttdoc">Assign context to the graph. This is triggered by both simple_bind and bind flows.</div><div class="ttdef"><b>Definition:</b> exec_utils.h:428</div></div> |
| <div class="ttc" id="aclassnnvm_1_1Graph_html_ac3b5c307c14dd45179b0c916e8bb2220"><div class="ttname"><a href="classnnvm_1_1Graph.html#ac3b5c307c14dd45179b0c916e8bb2220">nnvm::Graph::GetAttr</a></div><div class="ttdeci">const T & GetAttr(const std::string &attr_name) const</div><div class="ttdoc">Get the immutable attribute from attrs.</div><div class="ttdef"><b>Definition:</b> graph.h:230</div></div> |
| <div class="ttc" id="anamespacemxnet_1_1common_html_ab379cd302d59005010ae29aff6e55009"><div class="ttname"><a href="namespacemxnet_1_1common.html#ab379cd302d59005010ae29aff6e55009">mxnet::common::stype_string</a></div><div class="ttdeci">std::string stype_string(const int x)</div><div class="ttdoc">get string representation of storage_type</div><div class="ttdef"><b>Definition:</b> utils.h:405</div></div> |
| <div class="ttc" id="agraph_8h_html"><div class="ttname"><a href="graph_8h.html">graph.h</a></div><div class="ttdoc">Configuation of nnvm as well as basic data structure.</div></div> |
| <div class="ttc" id="anamespacemxnet_1_1common_html_a4716f6044f678090af8ae7ef3ace3a31"><div class="ttname"><a href="namespacemxnet_1_1common.html#a4716f6044f678090af8ae7ef3ace3a31">mxnet::common::dispatch_mode_string</a></div><div class="ttdeci">std::string dispatch_mode_string(const DispatchMode x)</div><div class="ttdoc">get string representation of dispatch_mode</div><div class="ttdef"><b>Definition:</b> utils.h:388</div></div> |
| <div class="ttc" id="anamespacemxnet_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:830</div></div> |
| <div class="ttc" id="aexec__utils_8h_html_a68d0feab615a9d4791bf4cad3a6ee47b"><div class="ttname"><a href="exec__utils_8h.html#a68d0feab615a9d4791bf4cad3a6ee47b">DEFAULT_DATA</a></div><div class="ttdeci">#define DEFAULT_DATA(x)</div><div class="ttdef"><b>Definition:</b> exec_utils.h:43</div></div> |
| <div class="ttc" id="aclassmxnet_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:440</div></div> |
| <div class="ttc" id="anamespacemxnet_html_aad5fec2b4bceabbf4b884460cc2e0a2ba7934d40c7c17315d892e8d5d745b1c66"><div class="ttname"><a href="namespacemxnet.html#aad5fec2b4bceabbf4b884460cc2e0a2ba7934d40c7c17315d892e8d5d745b1c66">mxnet::DispatchMode::kUndefined</a></div><div class="ttdeci">@ kUndefined</div></div> |
| <div class="ttc" id="anamespacennvm_html_a52d908d5e1bfdbd544f1b6d2c99682cc"><div class="ttname"><a href="namespacennvm.html#a52d908d5e1bfdbd544f1b6d2c99682cc">nnvm::DeviceAssignMap</a></div><div class="ttdeci">std::unordered_map< std::string, int > DeviceAssignMap</div><div class="ttdoc">The result holder of device of each operator in the graph.</div><div class="ttdef"><b>Definition:</b> graph_attr_types.h:112</div></div> |
| <div class="ttc" id="anamespacemxnet_html_a7cd7094ef222e9ae1f520c3b6a214398a1b850737dba4d2c42a2687d14c10f383"><div class="ttname"><a href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398a1b850737dba4d2c42a2687d14c10f383">mxnet::kAddTo</a></div><div class="ttdeci">@ kAddTo</div><div class="ttdoc">add to the provided space</div><div class="ttdef"><b>Definition:</b> op_attr_types.h:57</div></div> |
| <div class="ttc" id="anamespacemxnet_html_a536b732faa980e1de446c552460ff76aac095f52c31076adc7207f4a4f17d7aa3"><div class="ttname"><a href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aac095f52c31076adc7207f4a4f17d7aa3">mxnet::kRowSparseStorage</a></div><div class="ttdeci">@ kRowSparseStorage</div><div class="ttdef"><b>Definition:</b> ndarray.h:64</div></div> |
| <div class="ttc" id="anamespacennvm_html_af3047555e6bce725a8abba02b4155de9"><div class="ttname"><a href="namespacennvm.html#af3047555e6bce725a8abba02b4155de9">nnvm::DTypeVector</a></div><div class="ttdeci">std::vector< int > DTypeVector</div><div class="ttdoc">The result holder of type of each NodeEntry in the graph.</div><div class="ttdef"><b>Definition:</b> graph_attr_types.h:76</div></div> |
| <div class="ttc" id="anamespacemshadow_1_1expr_html_aa410e6e15bde87d5f889aedfdf96a64e"><div class="ttname"><a href="namespacemshadow_1_1expr.html#aa410e6e15bde87d5f889aedfdf96a64e">mshadow::expr::range</a></div><div class="ttdeci">RangeExp< DType > range(DType start, DType stop, DType step=1, int repeat=1)</div><div class="ttdef"><b>Definition:</b> range.h:55</div></div> |
| <div class="ttc" id="anamespacemxnet_1_1common_html_a497a260b6b4c473e4ad03477f500763e"><div class="ttname"><a href="namespacemxnet_1_1common.html#a497a260b6b4c473e4ad03477f500763e">mxnet::common::LogInferStorage</a></div><div class="ttdeci">void LogInferStorage(const nnvm::Graph &g)</div><div class="ttdef"><b>Definition:</b> exec_utils.h:344</div></div> |
| <div class="ttc" id="anamespacemxnet_1_1common_html_abcd04f4664c3f1db116cdf6d86236a87"><div class="ttname"><a href="namespacemxnet_1_1common.html#abcd04f4664c3f1db116cdf6d86236a87">mxnet::common::LogMemoryPlan</a></div><div class="ttdeci">void LogMemoryPlan(const nnvm::Graph &g)</div><div class="ttdef"><b>Definition:</b> exec_utils.h:288</div></div> |
| <div class="ttc" id="anamespacemxnet_1_1common_html_a02752372972ae43c182e4994df2bddc5"><div class="ttname"><a href="namespacemxnet_1_1common.html#a02752372972ae43c182e4994df2bddc5">mxnet::common::ReshapeOrCreate</a></div><div class="ttdeci">NDArray ReshapeOrCreate(const std::string &name, const mxnet::TShape &dest_arg_shape, const int dest_arg_dtype, const NDArrayStorageType dest_arg_stype, const Context &ctx, std::unordered_map< std::string, NDArray > *shared_buffer, bool enable_row_sparse_sharing)</div><div class="ttdoc">If the requested ndarray's shape size is less than the corresponding shared_data_array's shape size a...</div><div class="ttdef"><b>Definition:</b> exec_utils.h:381</div></div> |
| <div class="ttc" id="aclassnnvm_1_1Graph_html_a1be6cd069643a2608625df12f49423eb"><div class="ttname"><a href="classnnvm_1_1Graph.html#a1be6cd069643a2608625df12f49423eb">nnvm::Graph::outputs</a></div><div class="ttdeci">std::vector< NodeEntry > outputs</div><div class="ttdoc">outputs of the computation graph.</div><div class="ttdef"><b>Definition:</b> graph.h:50</div></div> |
| <div class="ttc" id="anamespacemxnet_html_aad5fec2b4bceabbf4b884460cc2e0a2ba2157864769b54d1d0f8f9be63393e7d6"><div class="ttname"><a href="namespacemxnet.html#aad5fec2b4bceabbf4b884460cc2e0a2ba2157864769b54d1d0f8f9be63393e7d6">mxnet::DispatchMode::kFCompute</a></div><div class="ttdeci">@ kFCompute</div></div> |
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