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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 "../executor/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="comment">/*</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</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="l00041"></a><span class="lineno"> 41</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="l00042"></a><span class="lineno"> 42</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="l00043"></a><span class="lineno"> 43</span> <span class="comment"> * their corresponding temporary NDArrays in the temp array.</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"> * \param src list of source NDArray</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"> * \param blobs list of tblobs to return</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"> * \param temp_src list of source NDArrays which requires temporary default storage representation</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment"> * \param temp_dst list of temporary destination NDArrays for default storage representation</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</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="l00049"></a><span class="lineno"> 49</span> <span class="comment"> indices are not recorded</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> * \return true if any source NDArray need to cast storage</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"> */</span></div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#a2262a78f3d80b9adeb3b517246fe4335"> 52</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="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">const</span> std::vector<NDArray> *bufs,</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  std::vector<TBlob> *blobs,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  std::vector<NDArray> *temp_src,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  std::vector<NDArray> *temp_dst,</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  std::unordered_map<uint32_t, uint32_t> *idx_map) {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordtype">bool</span> require_cast = <span class="keyword">false</span>;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < src.size(); i++) {</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">auto</span>& nd = src[i];</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordtype">bool</span> is_default = nd.storage_type() == <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="preprocessor">#if MXNET_USE_MKLDNN == 1</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="comment">// We have to make sure it's default storage and default layout.</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  is_default = nd.IsDefaultData();</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">if</span> (!is_default) {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  (*idx_map)[i] = temp_dst->size();</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> temp = bufs != <span class="keyword">nullptr</span> ? bufs->at(i) : <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a>(nd.shape(), nd.ctx(),</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">true</span>, nd.dtype());</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="preprocessor">#if MXNET_USE_MKLDNN == 1</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  CHECK(temp.IsDefaultData());</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  temp_src->emplace_back(nd);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  temp_dst->emplace_back(temp);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  blobs->emplace_back(temp.<a class="code" href="classmxnet_1_1NDArray.html#ade5c291caf0e240892b1bffaf7e5c8b5">data</a>());</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  require_cast = <span class="keyword">true</span>;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  blobs->push_back(nd.data());</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  }</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  }</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">return</span> require_cast;</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> </div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#a28bf4d1e9b7392f106950b00de5a2c62"> 84</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="l00085"></a><span class="lineno"> 85</span>  <span class="keyword">const</span> std::vector<NDArray> *bufs,</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  std::vector<OpReqType> *req,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  std::vector<TBlob> *blobs,</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  std::vector<NDArray> *temp_src,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  std::vector<NDArray> *temp_dst) {</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordtype">bool</span> require_cast = <span class="keyword">false</span>;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < src.size(); i++) {</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keyword">auto</span>& nd = src[i];</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordtype">bool</span> is_default = nd.storage_type() == <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="preprocessor">#if MXNET_USE_MKLDNN == 1</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">if</span> (req->at(i) == <a class="code" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398a640322face587ca12684378d0f053d51">kWriteInplace</a> && nd.IsMKLDNNData())</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</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="l00097"></a><span class="lineno"> 97</span>  <span class="comment">// layout, we'll generate a temporary output array below, which means</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// the input array and the output array are no longer the same array.</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="comment">// we should change the request type.</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  req->at(i) = <a class="code" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398a03b4c19f34d3add7deecd7ef6c54b42a">kWriteTo</a>;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="comment">// We have to make sure it's default storage and default layout.</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  is_default = nd.IsDefaultData();</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">if</span> (!is_default) {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="preprocessor">#if MXNET_USE_MKLDNN == 1</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> temp;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">if</span> (bufs != <span class="keyword">nullptr</span>) {</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  temp = bufs->at(i);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398a1b850737dba4d2c42a2687d14c10f383">kAddTo</a> == req->at(i) && nd.IsMKLDNNData()) {</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  temp = nd.Reorder2Default();</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</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="l00112"></a><span class="lineno"> 112</span>  temp = nd;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</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="l00115"></a><span class="lineno"> 115</span>  }</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  CHECK(temp.IsDefaultData());</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a> temp = bufs != <span class="keyword">nullptr</span> ? bufs->at(i) : <a class="code" href="classmxnet_1_1NDArray.html">NDArray</a>(nd.shape(), nd.ctx(),</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keyword">true</span>, nd.dtype());</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  temp_src->emplace_back(nd);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  temp_dst->emplace_back(temp);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  blobs->emplace_back(temp.data());</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  require_cast = <span class="keyword">true</span>;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  blobs->push_back(nd.data());</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>  }</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">return</span> require_cast;</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> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="comment">/*</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="comment"> * \brief setup default-storage tblobs for input and output NDArrays.</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="comment"> * If any NDArray has non-default storage,</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</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="l00136"></a><span class="lineno"> 136</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="l00137"></a><span class="lineno"> 137</span> <span class="comment"> * their corresponding temporary NDArrays in the temp array.</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> <span class="comment"> */</span></div><div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#a2dc5d03c700c90be66f47c4f46d2ef6a"> 139</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="l00140"></a><span class="lineno"> 140</span>  <span class="keyword">const</span> std::vector<NDArray> &ndoutputs,</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">const</span> std::vector<NDArray> *in_bufs,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keyword">const</span> std::vector<NDArray> *out_bufs,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  std::vector<OpReqType> *req,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  std::vector<TBlob> *input_blobs,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  std::vector<TBlob> *output_blobs,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  std::vector<NDArray> *pre_temp_src,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  std::vector<NDArray> *pre_temp_dst,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  std::vector<NDArray> *post_temp_src,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  std::vector<NDArray> *post_temp_dst,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  std::unordered_map<uint32_t, uint32_t> *in_temp_idx_map,</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keyword">const</span> std::vector<uint32_t> &mutate_idx) {</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="comment">// populate input blobs</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="namespacemxnet_1_1common.html#a2262a78f3d80b9adeb3b517246fe4335">SetupDefaultBlobsIn</a>(ndinputs, in_bufs, input_blobs, pre_temp_src, pre_temp_dst,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  in_temp_idx_map);</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">// populate output blobs</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="namespacemxnet_1_1common.html#a28bf4d1e9b7392f106950b00de5a2c62">SetupDefaultBlobsOut</a>(ndoutputs, out_bufs, req, output_blobs, post_temp_dst,</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  post_temp_src);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="comment">// add mutable inputs to post temp list</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</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="l00160"></a><span class="lineno"> 160</span>  <span class="keyword">auto</span> map_iter = in_temp_idx_map->find(idx);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">if</span> (map_iter != in_temp_idx_map->end()) {</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  post_temp_src->push_back(pre_temp_dst->at(map_iter->second));</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  post_temp_dst->push_back(ndinputs[idx]);</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>  }</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> }</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="comment">/*</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</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="l00170"></a><span class="lineno"> 170</span> <span class="comment"> * This is only used for storage fallback in executor.</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="comment"> * \param src list of source NDArray to cast</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</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="l00173"></a><span class="lineno"> 173</span> <span class="comment"> * \param ctx operator context for cast_storage operation</span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="comment"> */</span></div><div class="line"><a name="l00175"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#a12f6653ed0571a1bc16afdfcf525c841"> 175</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="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">const</span> std::vector<NDArray>& dst,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keyword">const</span> <a class="code" href="structmxnet_1_1OpContext.html">OpContext</a>& ctx,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> is_gpu) {</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  CHECK_EQ(dst.size(), src.size());</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < src.size(); i++) {</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">if</span> (is_gpu) {</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> <span class="preprocessor">#if MXNET_USE_CUDA</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  CastStorageDispatch<gpu>(ctx, src[i], dst[i]);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  LOG(FATAL) << <a class="code" href="libinfo_8h.html#a8e6134b0829b92e4ba36e3ef1ac506ec">MXNET_GPU_NOT_ENABLED_ERROR</a>;</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  CastStorageDispatch<cpu>(ctx, src[i], dst[i]);</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  }</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  }</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> }</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> </div><div class="line"><a name="l00196"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#a6369bac95f2e7080088927858937d7b0"> 196</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="l00197"></a><span class="lineno"> 197</span>  std::vector<int> *iattr,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  std::vector<int> *oattr) {</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordtype">int</span> def_v = -1;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> v : *oattr) {</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">if</span> (v != -1) {</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  def_v = v; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  }</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  }</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">if</span> (def_v == -1) {</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> v : *iattr) {</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordflow">if</span> (v != -1) {</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  def_v = v; <span class="keywordflow">break</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>  }</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordflow">if</span> (def_v == -1) <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="l00222"></a><span class="lineno"> 222</span> </div><div class="line"><a name="l00228"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#a33f2eeb2434d3cdab77227b62ecf3d31"> 228</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="l00229"></a><span class="lineno"> 229</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> dev_mask,</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <a class="code" href="namespacemxnet.html#aad5fec2b4bceabbf4b884460cc2e0a2b">DispatchMode</a>* dispatch_mode,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  std::vector<int> *iattr,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  std::vector<int> *oattr) {</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordtype">bool</span> fallback = <span class="keyword">false</span>;</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span>& v : *oattr) {</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keywordflow">if</span> (v == -1) 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>) fallback = <span class="keyword">true</span>;</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  }</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span>& v : *iattr) {</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">if</span> (v == -1) v = <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>;</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordflow">if</span> (v != <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">kDefaultStorage</a>) fallback = <span class="keyword">true</span>;</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  }</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordflow">if</span> (*dispatch_mode == <a class="code" href="namespacemxnet.html#aad5fec2b4bceabbf4b884460cc2e0a2ba7934d40c7c17315d892e8d5d745b1c66">DispatchMode::kUndefined</a>) {</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keywordflow">if</span> (fallback) {</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  *dispatch_mode = <a class="code" href="namespacemxnet.html#aad5fec2b4bceabbf4b884460cc2e0a2ba18bf63b4c196f79c9bca4ad8637e8fef">DispatchMode::kFComputeFallback</a>;</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  *dispatch_mode = <a class="code" href="namespacemxnet.html#aad5fec2b4bceabbf4b884460cc2e0a2ba2157864769b54d1d0f8f9be63393e7d6">DispatchMode::kFCompute</a>;</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  }</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  }</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</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="comment">// string representation of storage id</span></div><div class="line"><a name="l00253"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#ab24b30a630e9ebf963f763a99b48ebc5"> 253</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="l00254"></a><span class="lineno"> 254</span>  std::string str;</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keywordflow">if</span> (storage_id == -1) {</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  str = <span class="stringliteral">"var (-1)"</span>;</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (storage_id == -2) {</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  str = <span class="stringliteral">"external storage (-2)"</span>;</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  str = <span class="stringliteral">"group "</span> + std::to_string(storage_id);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  }</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">return</span> str;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> }</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="comment">/* log the static memory plan of the graph. Example:</span></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> <span class="comment"> node 0 var</span></div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> <span class="comment"> node 1 _copy</span></div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="comment"> input 0: [80,3,224,224] (47040 KB) -> var storage (-1)</span></div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> <span class="comment"> output 1: [80,3,224,224] (47040 KB) -> group 0</span></div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> <span class="comment"> node 2 var</span></div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> <span class="comment"> node 3 var</span></div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> <span class="comment"> node 4 var</span></div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> <span class="comment"> node 5 var</span></div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> <span class="comment"> node 6 BatchNorm</span></div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> <span class="comment"> input 1: [80,3,224,224] (47040 KB) -> group 0</span></div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> <span class="comment"> input 2: [3] (0 KB) -> var storage (-1)</span></div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="comment"> input 3: [3] (0 KB) -> var storage (-1)</span></div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="comment"> input 4: [3] (0 KB) -> var storage (-1)</span></div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="comment"> input 5: [3] (0 KB) -> var storage (-1)</span></div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> <span class="comment"> output 6: [80,3,224,224] (47040 KB) -> group 1</span></div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span> <span class="comment"> output 7: [3] (0 KB) -> group 3</span></div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> <span class="comment"> output 8: [3] (0 KB) -> group 2</span></div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span> <span class="comment"> ...</span></div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> <span class="comment"> */</span></div><div class="line"><a name="l00285"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#abcd04f4664c3f1db116cdf6d86236a87"> 285</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="l00286"></a><span class="lineno"> 286</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="l00287"></a><span class="lineno"> 287</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="l00288"></a><span class="lineno"> 288</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="l00289"></a><span class="lineno"> 289</span>  <span class="comment">// find node range</span></div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  uint32_t node_start = 0, node_end = idx.num_nodes();</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</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="l00292"></a><span class="lineno"> 292</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="l00293"></a><span class="lineno"> 293</span>  node_start = <a class="code" href="namespacemshadow_1_1expr.html#aa410e6e15bde87d5f889aedfdf96a64e">range</a>.first;</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  node_end = <a class="code" href="namespacemshadow_1_1expr.html#aa410e6e15bde87d5f889aedfdf96a64e">range</a>.second;</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  }</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keywordflow">for</span> (uint32_t nid = node_start; nid < node_end; ++nid) {</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& inode = idx[nid];</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keywordflow">if</span> (inode.source->is_variable()) {</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  LOG(INFO) << <span class="stringliteral">"node "</span> << nid << <span class="stringliteral">" var"</span>;</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  LOG(INFO) << <span class="stringliteral">"node "</span> << nid << <span class="stringliteral">" "</span> << inode.source->attrs.op->name;</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</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="l00303"></a><span class="lineno"> 303</span>  <span class="keyword">auto</span> eid = idx.entry_id(e);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</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="l00305"></a><span class="lineno"> 305</span>  LOG(INFO) << <span class="stringliteral">"\t\tinput "</span> << eid << <span class="stringliteral">": "</span> << vshape[eid] << <span class="stringliteral">" ("</span></div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  << kilo_bytes << <span class="stringliteral">" KB)"</span>;</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  }</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordflow">for</span> (uint32_t index = 0; index < inode.source->num_outputs(); ++index) {</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  uint32_t eid = idx.entry_id(nid, index);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</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="l00311"></a><span class="lineno"> 311</span>  LOG(INFO) << <span class="stringliteral">"\t\toutput "</span> << eid << <span class="stringliteral">": "</span> << vshape[eid] << <span class="stringliteral">" ("</span></div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  << kilo_bytes << <span class="stringliteral">" KB)"</span>;</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</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> <span class="comment">/* log the static memory plan of the graph. Example:</span></div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span> <span class="comment"> node 0 var</span></div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span> <span class="comment"> node 1 _copy: fcompute</span></div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> <span class="comment"> input 0: default</span></div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span> <span class="comment"> output 1: default</span></div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> <span class="comment"> node 2 var</span></div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span> <span class="comment"> node 3 Convolution: fcompute</span></div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> <span class="comment"> input 1: default</span></div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> <span class="comment"> input 2: default</span></div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> <span class="comment"> output 3: default</span></div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span> <span class="comment"> node 4 var</span></div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> <span class="comment"> node 5 var</span></div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> <span class="comment"> node 6 var</span></div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> <span class="comment"> node 7 var</span></div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> <span class="comment"> node 8 BatchNorm: fcompute</span></div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> <span class="comment"> input 3: default</span></div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span> <span class="comment"> input 4: default</span></div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span> <span class="comment"> input 5: default</span></div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> <span class="comment"> input 6: default</span></div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span> <span class="comment"> input 7: default</span></div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span> <span class="comment"> output 8: default</span></div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span> <span class="comment"> output 9: default</span></div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> <span class="comment"> output 10: default</span></div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span> <span class="comment"> ...</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"><a class="line" href="namespacemxnet_1_1common.html#a497a260b6b4c473e4ad03477f500763e"> 343</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="l00344"></a><span class="lineno"> 344</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="l00345"></a><span class="lineno"> 345</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="l00346"></a><span class="lineno"> 346</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="l00347"></a><span class="lineno"> 347</span>  uint32_t node_start = 0, node_end = idx.num_nodes();</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</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="l00349"></a><span class="lineno"> 349</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="l00350"></a><span class="lineno"> 350</span>  node_start = <a class="code" href="namespacemshadow_1_1expr.html#aa410e6e15bde87d5f889aedfdf96a64e">range</a>.first;</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  node_end = <a class="code" href="namespacemshadow_1_1expr.html#aa410e6e15bde87d5f889aedfdf96a64e">range</a>.second;</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  }</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keywordflow">for</span> (uint32_t nid = node_start; nid < node_end; ++nid) {</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& inode = idx[nid];</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keywordflow">if</span> (inode.source->is_variable()) {</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  LOG(INFO) << <span class="stringliteral">"node "</span> << nid << <span class="stringliteral">" var"</span>;</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  LOG(INFO) << <span class="stringliteral">"node "</span> << nid << <span class="stringliteral">" "</span> << inode.source->attrs.op->name</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  << <span class="stringliteral">": "</span> << <a class="code" href="namespacemxnet_1_1common.html#a4716f6044f678090af8ae7ef3ace3a31">dispatch_mode_string</a>(dispatch_modes[nid]);</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</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="l00361"></a><span class="lineno"> 361</span>  <span class="keyword">auto</span> eid = idx.entry_id(e);</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</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="l00363"></a><span class="lineno"> 363</span>  }</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keywordflow">for</span> (uint32_t index = 0; index < inode.source->num_outputs(); ++index) {</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  uint32_t eid = idx.entry_id(nid, index);</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</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="l00367"></a><span class="lineno"> 367</span>  }</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> <span class="comment">// prints a helpful message after shape inference errors in executor.</span></div><div class="line"><a name="l00373"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#ab31144ebf55a80bf2fbb17d784aacf77"> 373</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet_1_1common.html#ab31144ebf55a80bf2fbb17d784aacf77">HandleInferShapeError</a>(<span class="keyword">const</span> <span class="keywordtype">size_t</span> num_forward_inputs,</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keyword">const</span> <a class="code" href="classnnvm_1_1IndexedGraph.html">nnvm::IndexedGraph</a>& idx,</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a87e1c30aafac389774c6f4d905c0e5ea">mxnet::ShapeVector</a>& inferred_shapes) {</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="keywordtype">int</span> cnt = 10;</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  std::ostringstream oss;</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</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="l00379"></a><span class="lineno"> 379</span>  <span class="keyword">const</span> uint32_t nid = idx.<a class="code" href="classnnvm_1_1IndexedGraph.html#a714885749b0905330dd744f23dd81ee1">input_nodes</a>().at(i);</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keyword">const</span> uint32_t eid = idx.<a class="code" href="classnnvm_1_1IndexedGraph.html#a30f64e8c479ca766d194c48b1e4b9dbd">entry_id</a>(nid, 0);</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="keyword">const</span> <a class="code" href="classmxnet_1_1TShape.html">mxnet::TShape</a>& inferred_shape = inferred_shapes[eid];</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keywordflow">if</span> (!<a class="code" href="namespacemxnet.html#a6c29d398f4166fdc0f95f63ce0ef66ee">shape_is_known</a>(inferred_shape)) {</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keyword">const</span> std::string& arg_name = idx[nid].source->attrs.name;</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  oss << arg_name << <span class="stringliteral">": "</span> << inferred_shape << <span class="stringliteral">", "</span>;</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keywordflow">if</span> (--cnt == 0) {</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  oss << <span class="stringliteral">"..."</span>;</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  }</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  }</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  }</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  LOG(FATAL) << <span class="stringliteral">"InferShape pass cannot decide shapes for the following arguments "</span></div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="stringliteral">"(-1 means unknown dimensions). Please consider providing them as inputs:\n"</span></div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  << oss.str();</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span> }</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span> </div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> <span class="comment">// prints a helpful message after type inference errors in executor.</span></div><div class="line"><a name="l00397"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#ad0a2f5f50d4fdcb21b9cd7d595cba8bd"> 397</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet_1_1common.html#ad0a2f5f50d4fdcb21b9cd7d595cba8bd">HandleInferTypeError</a>(<span class="keyword">const</span> <span class="keywordtype">size_t</span> num_forward_inputs,</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keyword">const</span> <a class="code" href="classnnvm_1_1IndexedGraph.html">nnvm::IndexedGraph</a>& idx,</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keyword">const</span> <a class="code" href="namespacennvm.html#af3047555e6bce725a8abba02b4155de9">nnvm::DTypeVector</a>& inferred_dtypes) {</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="keywordtype">int</span> cnt = 10;</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  std::ostringstream oss;</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</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="l00403"></a><span class="lineno"> 403</span>  <span class="keyword">const</span> uint32_t nid = idx.<a class="code" href="classnnvm_1_1IndexedGraph.html#a714885749b0905330dd744f23dd81ee1">input_nodes</a>().at(i);</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keyword">const</span> uint32_t eid = idx.<a class="code" href="classnnvm_1_1IndexedGraph.html#a30f64e8c479ca766d194c48b1e4b9dbd">entry_id</a>(nid, 0);</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> inferred_dtype = inferred_dtypes[eid];</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keywordflow">if</span> (inferred_dtype == -1) {</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="keyword">const</span> std::string& arg_name = idx[nid].source->attrs.name;</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  oss << arg_name << <span class="stringliteral">": "</span> << inferred_dtype << <span class="stringliteral">", "</span>;</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keywordflow">if</span> (--cnt == 0) {</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  oss << <span class="stringliteral">"..."</span>;</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  }</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  }</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>  LOG(FATAL) << <span class="stringliteral">"InferType pass cannot decide dtypes for the following arguments "</span></div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="stringliteral">"(-1 means unknown dtype). Please consider providing them as inputs:\n"</span></div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  << oss.str();</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> }</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="comment">// prints a helpful message after storage type checking errors in executor.</span></div><div class="line"><a name="l00421"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#a9ae705382eedf9d523df62d9b9128423"> 421</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacemxnet_1_1common.html#a9ae705382eedf9d523df62d9b9128423">HandleInferStorageTypeError</a>(<span class="keyword">const</span> <span class="keywordtype">size_t</span> num_forward_inputs,</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keyword">const</span> <a class="code" href="classnnvm_1_1IndexedGraph.html">nnvm::IndexedGraph</a>& idx,</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a6606bef15f41cccade14c9400e8447cf">StorageTypeVector</a>& inferred_stypes) {</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keywordtype">int</span> cnt = 10;</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  std::ostringstream oss;</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</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="l00427"></a><span class="lineno"> 427</span>  <span class="keyword">const</span> uint32_t nid = idx.<a class="code" href="classnnvm_1_1IndexedGraph.html#a714885749b0905330dd744f23dd81ee1">input_nodes</a>().at(i);</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keyword">const</span> uint32_t eid = idx.<a class="code" href="classnnvm_1_1IndexedGraph.html#a30f64e8c479ca766d194c48b1e4b9dbd">entry_id</a>(nid, 0);</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> inferred_stype = inferred_stypes[eid];</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="keywordflow">if</span> (inferred_stype == -1) {</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="keyword">const</span> std::string& arg_name = idx[nid].source->attrs.name;</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  oss << arg_name << <span class="stringliteral">": "</span> << <a class="code" href="namespacemxnet_1_1common.html#ab379cd302d59005010ae29aff6e55009">common::stype_string</a>(inferred_stype) << <span class="stringliteral">", "</span>;</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keywordflow">if</span> (--cnt == 0) {</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  oss << <span class="stringliteral">"..."</span>;</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  }</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  }</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  }</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  LOG(FATAL) << <span class="stringliteral">"InferStorageType pass cannot decide storage type for the following arguments "</span></div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="stringliteral">"(-1 means unknown stype). Please consider providing them as inputs:\n"</span></div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  << oss.str();</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span> }</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span> </div><div class="line"><a name="l00452"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#a02752372972ae43c182e4994df2bddc5"> 452</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="l00453"></a><span class="lineno"> 453</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="l00454"></a><span class="lineno"> 454</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> dest_arg_dtype,</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76a">NDArrayStorageType</a> dest_arg_stype,</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keyword">const</span> <a class="code" href="structmxnet_1_1Context.html">Context</a>& ctx,</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  std::unordered_map<std::string, NDArray>* shared_buffer,</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordtype">bool</span> enable_row_sparse_sharing) {</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</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="l00460"></a><span class="lineno"> 460</span>  <span class="keywordflow">if</span> (enable_row_sparse_sharing) {</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  stype_shareable = stype_shareable || dest_arg_stype == <a class="code" href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aac095f52c31076adc7207f4a4f17d7aa3">kRowSparseStorage</a>;</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  }</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keyword">auto</span> it = shared_buffer->find(name);</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="keywordflow">if</span> (it != shared_buffer->end()) {</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="comment">// check if size is large enough for sharing</span></div><div class="line"><a name="l00466"></a><span class="lineno"> 466</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="l00467"></a><span class="lineno"> 467</span>  <span class="keywordflow">if</span> (size_shareable && stype_shareable) { <span class="comment">// memory can be reused</span></div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  CHECK_EQ(it->second.dtype(), dest_arg_dtype)</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  << <span class="stringliteral">"Requested arg array's dtype does not match that of the reusable ndarray"</span>;</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  CHECK_EQ(it->second.storage_type(), dest_arg_stype)</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  << <span class="stringliteral">"Requested arg array's stype does not match that of the reusable ndarray"</span>;</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="keywordflow">return</span> it->second.Reshape(dest_arg_shape);</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (stype_shareable) {</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</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="l00475"></a><span class="lineno"> 475</span>  << <span class="stringliteral">", which is larger than already allocated shape "</span> << it->second.shape()</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  << <span class="stringliteral">". Need to re-allocate. Consider putting default bucket key to be "</span></div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  << <span class="stringliteral">"the bucket taking the largest input for better memory sharing."</span>;</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="comment">// size is not large enough, creating a larger one for sharing</span></div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="comment">// the NDArrays in shared_buffer are guaranteed to be of shareable storages</span></div><div class="line"><a name="l00480"></a><span class="lineno"> 480</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="l00481"></a><span class="lineno"> 481</span>  <span class="keywordflow">return</span> it->second;</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="comment">// not shareable storage</span></div><div class="line"><a name="l00484"></a><span class="lineno"> 484</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="l00485"></a><span class="lineno"> 485</span>  }</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</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="l00488"></a><span class="lineno"> 488</span>  <span class="keywordflow">if</span> (stype_shareable) {</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  shared_buffer->emplace(name, ret);</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  }</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  } <span class="comment">// if (it != shared_buffer->end())</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> </div><div class="line"><a name="l00499"></a><span class="lineno"><a class="line" href="namespacemxnet_1_1common.html#a19bebfe40260d14068675b893f6b1a6b"> 499</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="l00500"></a><span class="lineno"> 500</span>  <span class="keyword">const</span> <a class="code" href="structmxnet_1_1Context.html">Context</a>& default_ctx,</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="keyword">const</span> std::map<std::string, Context>& ctx_map,</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keyword">const</span> std::vector<Context>& in_arg_ctxes,</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <span class="keyword">const</span> std::vector<Context>& arg_grad_ctxes,</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keyword">const</span> std::vector<Context>& aux_state_ctxes,</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keyword">const</span> std::vector<OpReqType>& grad_req_types,</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keywordtype">size_t</span> num_forward_inputs,</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keywordtype">size_t</span> num_forward_outputs) {</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</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="l00509"></a><span class="lineno"> 509</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="l00510"></a><span class="lineno"> 510</span>  <span class="comment">// default use default context.</span></div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordflow">if</span> (ctx_map.size() == 0) {</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  g.<a class="code" href="classnnvm_1_1Graph.html#a6590464798f3a02e9edfe760bd7ece22">attrs</a>[<span class="stringliteral">"context"</span>] = std::make_shared<nnvm::any>(</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  exec::ContextVector(idx.num_nodes(), default_ctx));</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</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="l00515"></a><span class="lineno"> 515</span>  CHECK(x == default_ctx)</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  << <span class="stringliteral">"Input array is in "</span> << x << <span class="stringliteral">" while binding with ctx="</span> << default_ctx</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  << <span class="stringliteral">". All arguments must be in global context ("</span> << default_ctx</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  << <span class="stringliteral">") unless group2ctx is specified for cross-device graph."</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>  <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="l00521"></a><span class="lineno"> 521</span>  CHECK(x == default_ctx)</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  << <span class="stringliteral">"Gradient array is in "</span> << x << <span class="stringliteral">" while binding with ctx="</span></div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  << default_ctx << <span class="stringliteral">". All gradients must be in global context ("</span> << default_ctx</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  << <span class="stringliteral">") unless group2ctx is specified for cross-device graph."</span>;</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  }</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keywordflow">return</span> g;</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  }</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span> </div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <span class="comment">// otherwise, use context assignment.</span></div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  std::map<Context, int> ctx2id; <span class="comment">// map ctx to device id</span></div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  std::vector<Context> ctx_list; <span class="comment">// index is device id</span></div><div class="line"><a name="l00532"></a><span class="lineno"> 532</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="l00533"></a><span class="lineno"> 533</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="l00534"></a><span class="lineno"> 534</span> </div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="comment">// loop through the user input ctx_map and</span></div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="comment">// populate maps and lists</span></div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> &kv : ctx_map) {</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</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="l00539"></a><span class="lineno"> 539</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="l00540"></a><span class="lineno"> 540</span>  ctx_list.push_back(kv.second); <span class="comment">// save ctx to the list</span></div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  }</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="comment">// assign device id to to the arg name with the corresponding ctx</span></div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  device_map[kv.first] = ctx2id.at(kv.second);</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  }</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span> </div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="comment">// loop through all the rest of input nodes not specified</span></div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="comment">// in the ctx_map and populate maps and lists</span></div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="keywordtype">size_t</span> arg_top = 0, aux_top = 0;</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</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="l00550"></a><span class="lineno"> 550</span>  <span class="keyword">const</span> uint32_t nid = idx.input_nodes().at(i);</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <a class="code" href="structmxnet_1_1Context.html">Context</a> ctx;</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keywordflow">if</span> (mutable_nodes.count(nid)) { <span class="comment">// aux node is mutable</span></div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  CHECK_LT(aux_top, aux_state_ctxes.size());</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  ctx = aux_state_ctxes[aux_top];</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  ++aux_top;</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  } <span class="keywordflow">else</span> { <span class="comment">// regular input node is immutable</span></div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  CHECK_LT(arg_top, in_arg_ctxes.size());</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  ctx = in_arg_ctxes[arg_top];</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  ++arg_top;</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  }</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</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="l00562"></a><span class="lineno"> 562</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="l00563"></a><span class="lineno"> 563</span>  ctx_list.push_back(ctx); <span class="comment">// save the current ctx in the list</span></div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  }</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  device[nid] = ctx2id.at(ctx); <span class="comment">// assign device id to the current node</span></div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  }</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span> </div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="comment">// loop through backward input nodes and populate maps and lists</span></div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="comment">// the backward input nodes is the gradient of the loss wrt the output</span></div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keywordtype">size_t</span> arg_grad_offset = 0;</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <span class="comment">// keep an offset into the arg_grad_ctxes vector,</span></div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="comment">// since g.outputs exclude arg_grad whose req == null</span></div><div class="line"><a name="l00573"></a><span class="lineno"> 573</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="l00574"></a><span class="lineno"> 574</span>  << <span class="stringliteral">"insufficient number of grad_reqs"</span>;</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</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="l00576"></a><span class="lineno"> 576</span>  <span class="keywordflow">while</span> (grad_req_types[arg_grad_offset] == <a class="code" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398a001b85096e07108e174fe4c406368a26">kNullOp</a>) ++arg_grad_offset;</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keyword">const</span> uint32_t nid = idx.outputs()[i].node_id;</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <a class="code" href="structmxnet_1_1Context.html">Context</a> ctx = arg_grad_ctxes[arg_grad_offset];</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  <span class="keywordflow">if</span> (ctx2id.count(ctx) == 0) {</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</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="l00581"></a><span class="lineno"> 581</span>  ctx_list.push_back(ctx);</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  }</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keywordtype">int</span> devid = ctx2id.at(ctx);</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <span class="keywordflow">if</span> (device[nid] != -1) {</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</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="l00586"></a><span class="lineno"> 586</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  device[nid] = devid;</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  }</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  }</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span> </div><div class="line"><a name="l00591"></a><span class="lineno"> 591</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="l00592"></a><span class="lineno"> 592</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="l00593"></a><span class="lineno"> 593</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& assigned_devices = g.GetAttr<<a class="code" href="namespacennvm.html#a94df41af9f53acd922091f62baab0f81">nnvm::DeviceVector</a>>(<span class="stringliteral">"device"</span>);</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span> </div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  exec::ContextVector vcontext;</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> context : assigned_devices) {</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <span class="keywordflow">if</span> (context == -1) {</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  vcontext.push_back(default_ctx);</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  vcontext.push_back(ctx_list[context]);</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  }</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  }</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span> </div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <span class="comment">// after device planning, we should check again</span></div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  <span class="comment">// if the assigned device of gradient node</span></div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <span class="comment">// corresponds to storage of grads</span></div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <span class="keyword">auto</span> &new_idx = g.indexed_graph();</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  arg_grad_offset = 0;</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = num_forward_outputs; i < g.outputs.size(); ++i, ++arg_grad_offset) {</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <span class="keywordflow">while</span> (grad_req_types[arg_grad_offset] == <a class="code" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398a001b85096e07108e174fe4c406368a26">kNullOp</a>) ++arg_grad_offset;</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <span class="keyword">const</span> uint32_t nid = new_idx.outputs()[i].node_id;</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <a class="code" href="structmxnet_1_1Context.html">Context</a> ctx = arg_grad_ctxes[arg_grad_offset];</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  CHECK(ctx == vcontext[nid])</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  << <span class="stringliteral">"Trying to save gradient to "</span> << ctx</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  << <span class="stringliteral">" while its source node \""</span> << new_idx[nid].source->attrs.name</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  << <span class="stringliteral">"\" computes it on "</span> << vcontext[nid]</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  << <span class="stringliteral">". Check your ctx in NDArray allocation."</span>;</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  }</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span> </div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  g.attrs[<span class="stringliteral">"context"</span>] = std::make_shared<nnvm::any>(std::move(vcontext));</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="keywordflow">return</span> g;</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span> }</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span> </div><div class="line"><a name="l00632"></a><span class="lineno"> 632</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="l00633"></a><span class="lineno"> 633</span> </div><div class="line"><a name="l00641"></a><span class="lineno"> 641</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="l00642"></a><span class="lineno"> 642</span> </div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span> } <span class="comment">// namespace common</span></div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span> } <span class="comment">// namespace mxnet</span></div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span> <span class="preprocessor">#endif // MXNET_COMMON_EXEC_UTILS_H_</span></div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span> </div><div class="ttc" id="namespacemxnet_html_a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608"><div class="ttname"><a href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aabf6395d98a9668e8066a0c0da5570608">mxnet::kDefaultStorage</a></div><div class="ttdef"><b>Definition:</b> ndarray.h:62</div></div> |
| <div class="ttc" id="namespacemxnet_html_a536b732faa980e1de446c552460ff76a"><div class="ttname"><a href="namespacemxnet.html#a536b732faa980e1de446c552460ff76a">mxnet::NDArrayStorageType</a></div><div class="ttdeci">NDArrayStorageType</div><div class="ttdef"><b>Definition:</b> ndarray.h:60</div></div> |
| <div class="ttc" id="namespacemxnet_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:196</div></div> |
| <div class="ttc" id="namespacemxnet_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&#39;s shape size is less than the corresponding shared_data_array&#39;s shape size a...</div><div class="ttdef"><b>Definition:</b> exec_utils.h:452</div></div> |
| <div class="ttc" id="namespacemxnet_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="namespacemxnet_html_a7cd7094ef222e9ae1f520c3b6a214398a001b85096e07108e174fe4c406368a26"><div class="ttname"><a href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398a001b85096e07108e174fe4c406368a26">mxnet::kNullOp</a></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="structnnvm_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:119</div></div> |
| <div class="ttc" id="namespacemxnet_html_a7cd7094ef222e9ae1f520c3b6a214398a03b4c19f34d3add7deecd7ef6c54b42a"><div class="ttname"><a href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398a03b4c19f34d3add7deecd7ef6c54b42a">mxnet::kWriteTo</a></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="namespacemxnet_html"><div class="ttname"><a href="namespacemxnet.html">mxnet</a></div><div class="ttdoc">namespace of mxnet </div><div class="ttdef"><b>Definition:</b> api_registry.h:33</div></div> |
| <div class="ttc" id="classnnvm_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="libinfo_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:73</div></div> |
| <div class="ttc" id="namespacennvm_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:103</div></div> |
| <div class="ttc" id="pass__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="namespacemxnet_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="namespacemxnet_html_aad5fec2b4bceabbf4b884460cc2e0a2ba2157864769b54d1d0f8f9be63393e7d6"><div class="ttname"><a href="namespacemxnet.html#aad5fec2b4bceabbf4b884460cc2e0a2ba2157864769b54d1d0f8f9be63393e7d6">mxnet::DispatchMode::kFCompute</a></div></div> |
| <div class="ttc" id="namespacemxnet_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:387</div></div> |
| <div class="ttc" id="namespacennvm_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:111</div></div> |
| <div class="ttc" id="namespacemxnet_html_aad5fec2b4bceabbf4b884460cc2e0a2ba18bf63b4c196f79c9bca4ad8637e8fef"><div class="ttname"><a href="namespacemxnet.html#aad5fec2b4bceabbf4b884460cc2e0a2ba18bf63b4c196f79c9bca4ad8637e8fef">mxnet::DispatchMode::kFComputeFallback</a></div></div> |
| <div class="ttc" id="classnnvm_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:60</div></div> |
| <div class="ttc" id="structmxnet_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.Forward and Backward This is the superset of RunConte...</div><div class="ttdef"><b>Definition:</b> op_attr_types.h:66</div></div> |
| <div class="ttc" id="namespacemxnet_html_a87e1c30aafac389774c6f4d905c0e5ea"><div class="ttname"><a href="namespacemxnet.html#a87e1c30aafac389774c6f4d905c0e5ea">mxnet::ShapeVector</a></div><div class="ttdeci">std::vector< mxnet::TShape > ShapeVector</div><div class="ttdoc">The result holder of shape of each NodeEntry in the graph. </div><div class="ttdef"><b>Definition:</b> tuple.h:819</div></div> |
| <div class="ttc" id="namespacennvm_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:144</div></div> |
| <div class="ttc" id="classnnvm_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:46</div></div> |
| <div class="ttc" id="namespacemxnet_1_1common_html_a9ae705382eedf9d523df62d9b9128423"><div class="ttname"><a href="namespacemxnet_1_1common.html#a9ae705382eedf9d523df62d9b9128423">mxnet::common::HandleInferStorageTypeError</a></div><div class="ttdeci">void HandleInferStorageTypeError(const size_t num_forward_inputs, const nnvm::IndexedGraph &idx, const StorageTypeVector &inferred_stypes)</div><div class="ttdef"><b>Definition:</b> exec_utils.h:421</div></div> |
| <div class="ttc" id="classnnvm_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:247</div></div> |
| <div class="ttc" id="namespacemxnet_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:499</div></div> |
| <div class="ttc" id="classnnvm_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:107</div></div> |
| <div class="ttc" id="namespacemxnet_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:369</div></div> |
| <div class="ttc" id="namespacemxnet_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:175</div></div> |
| <div class="ttc" id="namespacemxnet_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:253</div></div> |
| <div class="ttc" id="namespacemxnet_html_a536b732faa980e1de446c552460ff76aac095f52c31076adc7207f4a4f17d7aa3"><div class="ttname"><a href="namespacemxnet.html#a536b732faa980e1de446c552460ff76aac095f52c31076adc7207f4a4f17d7aa3">mxnet::kRowSparseStorage</a></div><div class="ttdef"><b>Definition:</b> ndarray.h:63</div></div> |
| <div class="ttc" id="namespacemxnet_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:52</div></div> |
| <div class="ttc" id="namespacennvm_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:75</div></div> |
| <div class="ttc" id="namespacemxnet_html_a7cd7094ef222e9ae1f520c3b6a214398a640322face587ca12684378d0f053d51"><div class="ttname"><a href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398a640322face587ca12684378d0f053d51">mxnet::kWriteInplace</a></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="namespacemshadow_html_a2e0671a4ac1729d7f8996ba091f8e07c"><div class="ttname"><a href="namespacemshadow.html#a2e0671a4ac1729d7f8996ba091f8e07c">mshadow::mshadow_sizeof</a></div><div class="ttdeci">size_t mshadow_sizeof(int type)</div><div class="ttdoc">get data type size from type enum </div><div class="ttdef"><b>Definition:</b> base.h:1479</div></div> |
| <div class="ttc" id="namespacemxnet_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="graph_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="classnnvm_1_1IndexedGraph_html_a30f64e8c479ca766d194c48b1e4b9dbd"><div class="ttname"><a href="classnnvm_1_1IndexedGraph.html#a30f64e8c479ca766d194c48b1e4b9dbd">nnvm::IndexedGraph::entry_id</a></div><div class="ttdeci">uint32_t entry_id(uint32_t node_id, uint32_t index) const</div><div class="ttdoc">Get a unique entry id between 0 to num_node_entries() for a given IndexedGraph::NodeEntry. </div><div class="ttdef"><b>Definition:</b> graph.h:144</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html_ade5c291caf0e240892b1bffaf7e5c8b5"><div class="ttname"><a href="classmxnet_1_1NDArray.html#ade5c291caf0e240892b1bffaf7e5c8b5">mxnet::NDArray::data</a></div><div class="ttdeci">const TBlob & data() const</div><div class="ttdef"><b>Definition:</b> ndarray.h:277</div></div> |
| <div class="ttc" id="classmxnet_1_1TShape_html_a505a8c1666a7aa7f6e4108b808e6a897"><div class="ttname"><a href="classmxnet_1_1TShape.html#a505a8c1666a7aa7f6e4108b808e6a897">mxnet::TShape::Size</a></div><div class="ttdeci">size_t Size() const</div><div class="ttdef"><b>Definition:</b> tuple.h:520</div></div> |
| <div class="ttc" id="namespacemxnet_1_1common_html_ab31144ebf55a80bf2fbb17d784aacf77"><div class="ttname"><a href="namespacemxnet_1_1common.html#ab31144ebf55a80bf2fbb17d784aacf77">mxnet::common::HandleInferShapeError</a></div><div class="ttdeci">void HandleInferShapeError(const size_t num_forward_inputs, const nnvm::IndexedGraph &idx, const mxnet::ShapeVector &inferred_shapes)</div><div class="ttdef"><b>Definition:</b> exec_utils.h:373</div></div> |
| <div class="ttc" id="classmxnet_1_1TShape_html"><div class="ttname"><a href="classmxnet_1_1TShape.html">mxnet::TShape</a></div><div class="ttdoc">A Shape class that is used to represent shape of each tensor. </div><div class="ttdef"><b>Definition:</b> tuple.h:437</div></div> |
| <div class="ttc" id="namespacemshadow_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="classnnvm_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:194</div></div> |
| <div class="ttc" id="classnnvm_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:49</div></div> |
| <div class="ttc" id="namespacemxnet_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:139</div></div> |
| <div class="ttc" id="namespacemxnet_html_a6c29d398f4166fdc0f95f63ce0ef66ee"><div class="ttname"><a href="namespacemxnet.html#a6c29d398f4166fdc0f95f63ce0ef66ee">mxnet::shape_is_known</a></div><div class="ttdeci">bool shape_is_known(const TShape &x)</div><div class="ttdef"><b>Definition:</b> tuple.h:692</div></div> |
| <div class="ttc" id="namespacemxnet_html_a7cd7094ef222e9ae1f520c3b6a214398a1b850737dba4d2c42a2687d14c10f383"><div class="ttname"><a href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398a1b850737dba4d2c42a2687d14c10f383">mxnet::kAddTo</a></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="namespacemxnet_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="namespacemxnet_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:84</div></div> |
| <div class="ttc" id="namespacemxnet_1_1common_html_ad0a2f5f50d4fdcb21b9cd7d595cba8bd"><div class="ttname"><a href="namespacemxnet_1_1common.html#ad0a2f5f50d4fdcb21b9cd7d595cba8bd">mxnet::common::HandleInferTypeError</a></div><div class="ttdeci">void HandleInferTypeError(const size_t num_forward_inputs, const nnvm::IndexedGraph &idx, const nnvm::DTypeVector &inferred_dtypes)</div><div class="ttdef"><b>Definition:</b> exec_utils.h:397</div></div> |
| <div class="ttc" id="classnnvm_1_1IndexedGraph_html_a714885749b0905330dd744f23dd81ee1"><div class="ttname"><a href="classnnvm_1_1IndexedGraph.html#a714885749b0905330dd744f23dd81ee1">nnvm::IndexedGraph::input_nodes</a></div><div class="ttdeci">const std::vector< uint32_t > & input_nodes() const</div><div class="ttdef"><b>Definition:</b> graph.h:190</div></div> |
| <div class="ttc" id="structmxnet_1_1Context_html"><div class="ttname"><a href="structmxnet_1_1Context.html">mxnet::Context</a></div><div class="ttdoc">Context information about the execution environment. </div><div class="ttdef"><b>Definition:</b> base.h:101</div></div> |
| <div class="ttc" id="namespacemxnet_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:343</div></div> |
| <div class="ttc" id="namespacemxnet_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:228</div></div> |
| <div class="ttc" id="namespacemxnet_html_aad5fec2b4bceabbf4b884460cc2e0a2ba7934d40c7c17315d892e8d5d745b1c66"><div class="ttname"><a href="namespacemxnet.html#aad5fec2b4bceabbf4b884460cc2e0a2ba7934d40c7c17315d892e8d5d745b1c66">mxnet::DispatchMode::kUndefined</a></div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html"><div class="ttname"><a href="classmxnet_1_1NDArray.html">mxnet::NDArray</a></div><div class="ttdoc">ndarray interface </div><div class="ttdef"><b>Definition:</b> ndarray.h:81</div></div> |
| <div class="ttc" id="namespacemxnet_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:719</div></div> |
| <div class="ttc" id="namespacemxnet_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="namespacemxnet_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:285</div></div> |
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