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| <a href="_record_by_record_caffe_parser_8cpp.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">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_record_by_record_caffe_parser_8hpp.html">RecordByRecordCaffeParser.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_exceptions_8hpp.html">armnn/Exceptions.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_utils_8hpp.html">armnn/Utils.hpp</a>"</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include "<a class="code" href="_graph_topological_sort_8hpp.html">GraphTopologicalSort.hpp</a>"</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <boost/numeric/conversion/cast.hpp></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment">// Caffe</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <google/protobuf/wire_format.h></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment">//#include <stdio.h></span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include <limits.h></span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include <sstream></span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment">//#include <iostream></span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include <fstream></span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn_caffe_parser.html">armnnCaffeParser</a></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> {</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment">// class which holds information on the absolute position in the stream</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment">// of the data and the length of the data record.</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">class </span>VarLenDataInfo</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  VarLenDataInfo(std::streamoff positionOfData, <span class="keywordtype">size_t</span> sizeOfData) :</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  m_PositionOfData(positionOfData), m_SizeOfData(sizeOfData) {}</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>  VarLenDataInfo(<span class="keyword">const</span> VarLenDataInfo& x) :</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  m_PositionOfData(x.PositionOfData()), m_SizeOfData (x.SizeOfData()) {}</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>  VarLenDataInfo& operator=(<span class="keyword">const</span> VarLenDataInfo& x)</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="comment">// handle self assignment</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordflow">if</span> (<span class="keyword">this</span> == &x) {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  }</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  m_PositionOfData = x.PositionOfData(); m_SizeOfData = x.SizeOfData(); <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  }</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  std::streamoff PositionOfData()<span class="keyword"> const </span>{<span class="keywordflow">return</span> m_PositionOfData;}</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordtype">size_t</span> SizeOfData()<span class="keyword"> const </span>{<span class="keywordflow">return</span> m_SizeOfData;}</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  std::streamoff m_PositionOfData;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordtype">size_t</span> m_SizeOfData;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> };</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment">// class which holds enough information on a LayerParameter in the Caffe protobuf</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment">// format to allow it to be resolved for in place layering and sorted topologically</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment">// prior to the entire record being parsed into memory.</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment">//</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment">// NOTE: function naming follows that of the protobuf classes these proxies are standing in for</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="keyword">class </span>LayerParameterInfo : <span class="keyword">public</span> VarLenDataInfo</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> {</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">static</span> <span class="keyword">const</span> std::string INPUT;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  LayerParameterInfo(<span class="keyword">const</span> VarLenDataInfo& varLenDataInfo) :</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  VarLenDataInfo(varLenDataInfo.PositionOfData(), varLenDataInfo.SizeOfData()),</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  m_newTops(<a class="code" href="_cl_layer_tests_8cpp.html#a67e2647a90dec71bb79c8b38872ba570">false</a>), m_newBottoms(<a class="code" href="_cl_layer_tests_8cpp.html#a67e2647a90dec71bb79c8b38872ba570">false</a>) {}</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  LayerParameterInfo(std::streamoff positionOfData, <span class="keywordtype">size_t</span> sizeOfData) :</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  VarLenDataInfo(positionOfData, sizeOfData), m_newTops(<a class="code" href="_cl_layer_tests_8cpp.html#a67e2647a90dec71bb79c8b38872ba570">false</a>), m_newBottoms(<a class="code" href="_cl_layer_tests_8cpp.html#a67e2647a90dec71bb79c8b38872ba570">false</a>) {}</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  LayerParameterInfo(<span class="keyword">const</span> LayerParameterInfo& x) :</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  VarLenDataInfo(x.PositionOfData(), x.SizeOfData()),</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  m_name(x.m_name),</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  m_type(x.m_type),</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  m_tops(x.m_tops),</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  m_bottoms(x.m_bottoms),</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  m_newTops(x.m_newTops),</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  m_newBottoms(x.m_newBottoms) {}</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  LayerParameterInfo& operator=(<span class="keyword">const</span> LayerParameterInfo& x)</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">if</span> (<span class="keyword">this</span> == &x) {</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  }</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  VarLenDataInfo::operator=(x);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  m_name = x.m_name;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  m_type = x.m_type;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  m_tops = x.m_tops;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  m_bottoms = x.m_bottoms;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  m_newTops = x.m_newTops;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  m_newBottoms = x.m_newBottoms;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  }</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">const</span> std::string name()<span class="keyword"> const </span>{<span class="keywordflow">return</span> m_name;}</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordtype">void</span> set_name(<span class="keyword">const</span> std::unique_ptr<<span class="keywordtype">char</span>[]>& theName, <span class="keywordtype">size_t</span> length)</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  m_name = std::string(theName.get(), length);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  }</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordtype">void</span> set_name(<span class="keyword">const</span> std::string& theName) {m_name = theName;}</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keyword">const</span> std::string type()<span class="keyword"> const </span>{<span class="keywordflow">return</span> m_type;}</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordtype">void</span> set_type(<span class="keyword">const</span> std::unique_ptr<<span class="keywordtype">char</span>[]>& theType, <span class="keywordtype">size_t</span> length)</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  m_type = std::string(theType.get(), length);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  }</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordtype">void</span> set_type(<span class="keyword">const</span> std::string& theType) {m_type = theType;}</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordtype">void</span> add_top(<span class="keyword">const</span> std::unique_ptr<<span class="keywordtype">char</span>[]>& top, <span class="keywordtype">size_t</span> length)</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  {</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  std::string topName(top.get(), length);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  m_tops.push_back(topName);</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>  <span class="keywordtype">void</span> add_top(<span class="keyword">const</span> std::string& topName)</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  {</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  m_tops.push_back(topName);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  }</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keyword">const</span> std::string top(<span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> i)<span class="keyword"> const </span>{<span class="keywordflow">return</span> m_tops[i];}</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> top_size()<span class="keyword"> const </span>{<span class="keywordflow">return</span> m_tops.size();}</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordtype">void</span> set_top(<span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> i, <span class="keyword">const</span> std::string& newName) {m_tops[i] = newName; m_newTops = <span class="keyword">true</span>;}</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordtype">bool</span> new_tops()<span class="keyword"> const </span>{<span class="keywordflow">return</span> m_newTops;}</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordtype">void</span> add_bottom(<span class="keyword">const</span> std::unique_ptr<<span class="keywordtype">char</span>[]>& bottom, <span class="keywordtype">size_t</span> length)</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  {</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  std::string bottomName(bottom.get(), length);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  m_bottoms.push_back(bottomName);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  }</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> bottom_size()<span class="keyword"> const </span>{<span class="keywordflow">return</span> m_bottoms.size();}</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keyword">const</span> std::string bottom(<span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> i)<span class="keyword"> const </span>{<span class="keywordflow">return</span> m_bottoms[i];}</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordtype">void</span> set_bottom(<span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> i, <span class="keyword">const</span> std::string& newName) {m_bottoms[i] = newName; m_newBottoms = <span class="keyword">true</span>;}</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordtype">bool</span> new_bottoms()<span class="keyword"> const </span>{<span class="keywordflow">return</span> m_newBottoms;}</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="comment">// if the position and size of the data is zero and the type is "Input" then this is an 'Implicit Input Layer'</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">// and needs to be handled differently from ordinary layers.</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordtype">bool</span> isImplicitInputLayer()<span class="keyword"> const</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">if</span> ((PositionOfData() == 0) && (SizeOfData() == 0) && INPUT.compare(type()) == 0)</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  {<span class="keywordflow">return</span> <span class="keyword">true</span>;} <span class="keywordflow">else</span> {<span class="keywordflow">return</span> <span class="keyword">false</span>;}</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  }</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> </div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  std::string m_name;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  std::string m_type;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  std::vector<std::string> m_tops;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  std::vector<std::string> m_bottoms;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="comment">// mark the layers whose topology was changed</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="comment">// by the ResolveInPlaceLayers method.</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordtype">bool</span> m_newTops;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordtype">bool</span> m_newBottoms;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> };</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> <span class="comment">// class which holds the field type (wire type) and field id (id from the .proto schema)</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> <span class="comment">// read from the protobuf messages as per the binary encoding described in</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <span class="comment">// https://developers.google.com/protocol-buffers/docs/encoding</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="comment">//</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="comment">// NOTE: function naming follows that of the protobuf classes these proxies are standing in for</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> <span class="keyword">class </span>ProtobufFieldInfo</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  ProtobufFieldInfo(<span class="keywordtype">int</span> field_type, <span class="keywordtype">int</span> field_id) :</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  m_eof(<a class="code" href="_cl_layer_tests_8cpp.html#a67e2647a90dec71bb79c8b38872ba570">false</a>), m_field_type(field_type), m_field_id(field_id) {}</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  ProtobufFieldInfo() : m_eof(<a class="code" href="_cl_layer_tests_8cpp.html#a37f1c3ccc9fc906be85185350dd83d48">true</a>), m_field_type(0), m_field_id(0) {}</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>  <span class="keywordtype">bool</span> eof() {<span class="keywordflow">return</span> m_eof;}</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordtype">int</span> field_type() {<span class="keywordflow">return</span> m_field_type;}</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordtype">int</span> field_id() {<span class="keywordflow">return</span> m_field_id;}</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordtype">bool</span> m_eof;</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordtype">int</span> m_field_type;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordtype">int</span> m_field_id;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> };</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> <span class="comment">// There are some NetParameter level data which are required</span></div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> <span class="comment">// to correctly processes some Caffe models. Specifically those which</span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <span class="comment">// have 'implicit' input layers. Also it is nice to have the name of the model.</span></div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> <span class="comment">//</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> <span class="comment">// NOTE: function naming follows that of the protobuf classes these proxies are standing in for</span></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> <span class="keyword">class </span>NetParameterInfo</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> {</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keyword">const</span> std::string name()<span class="keyword"> const </span>{<span class="keywordflow">return</span> m_name;}</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordtype">void</span> set_name(<span class="keyword">const</span> std::unique_ptr<<span class="keywordtype">char</span>[]>& theName, <span class="keywordtype">size_t</span> length)</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  {</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  m_name = std::string(theName.get(), length);</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>  <span class="keywordtype">void</span> add_input(<span class="keyword">const</span> std::unique_ptr<<span class="keywordtype">char</span>[]>& input, <span class="keywordtype">size_t</span> length)</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  {</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  std::string inputName(input.get(), length);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  m_inputs.push_back(inputName);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  }</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keyword">const</span> std::string input(<span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> i)<span class="keyword"> const </span>{<span class="keywordflow">return</span> m_inputs[i];}</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> input_size()<span class="keyword"> const </span>{<span class="keywordflow">return</span> m_inputs.size();}</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> </div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordtype">void</span> add_input_dimension(<span class="keywordtype">int</span> input_dimension) {</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  m_input_dimensions.push_back(input_dimension);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  }</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordtype">int</span> input_dimension(<span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> i)<span class="keyword"> const </span>{<span class="keywordflow">return</span> m_input_dimensions[i];}</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> input_dimensions_size()<span class="keyword"> const </span>{<span class="keywordflow">return</span> m_input_dimensions.size();}</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="keywordtype">void</span> add_blob_shape(caffe::BlobShape shape) {</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  m_blob_shapes.push_back(shape);</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  }</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keyword">const</span> caffe::BlobShape blob_shape(<span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> i)<span class="keyword"> const </span>{<span class="keywordflow">return</span> m_blob_shapes[i];}</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> blob_shapes_size()<span class="keyword"> const </span>{<span class="keywordflow">return</span> m_blob_shapes.size();}</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  std::string m_name;</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  std::vector<std::string> m_inputs;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  std::vector<int> m_input_dimensions;</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  std::vector<caffe::BlobShape> m_blob_shapes;</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> </div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> };</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> }; <span class="comment">// namespace armnnCaffeParser</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> <span class="keyword">using namespace </span><a class="code" href="namespacearmnn_caffe_parser.html">armnnCaffeParser</a>;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> <span class="comment">// Initialise the class const</span></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <span class="keyword">const</span> std::string LayerParameterInfo::INPUT = <span class="stringliteral">"Input"</span>;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> {</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> ProtobufFieldInfo readFieldInfo(std::ifstream& ifs)</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> {</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> first_byte = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">char</span><span class="keyword">></span>(ifs.get());</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">if</span> (!ifs.good())</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  {</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  ProtobufFieldInfo eof;</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keywordflow">return</span> eof;</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  }</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordtype">int</span> field_type = first_byte&7;</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordtype">int</span> field_id = first_byte>>3;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">if</span> ((field_id & 16) == 16)</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  {</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> second_byte = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">char</span><span class="keyword">></span>(ifs.get());</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordflow">if</span> (!ifs.good())</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  {</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  ProtobufFieldInfo eof;</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">return</span> eof;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  }</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  field_id = (field_id-16) + ((second_byte&127)<<4);</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>  ProtobufFieldInfo fieldInfo(field_type, field_id);</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">return</span> fieldInfo;</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> </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> <span class="keyword">const</span> <span class="keyword">static</span> <span class="keywordtype">int</span> MAX_NUM_BYTES = 5;</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> </div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> <span class="keywordtype">int</span> ReadBase128(std::ifstream& ifs)</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> {</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordtype">int</span> result = 0;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shift_by = 0;</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordtype">int</span> bytesRead = 0;</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">while</span> (<span class="keyword">true</span>)</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="keywordtype">unsigned</span> <span class="keywordtype">char</span> a_byte = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">char</span><span class="keyword">></span>(ifs.get());</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  ++bytesRead;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">if</span> (bytesRead > MAX_NUM_BYTES)</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  {</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>(</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="stringliteral">"ReadBase128 exceeded the maximum number of bytes expected for an integer representation"</span>);</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  }</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  result += (a_byte & 127) << shift_by;</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  shift_by += 7;</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">if</span> ((a_byte & 128) != 128)</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  {</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  }</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  }</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> }</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> </div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> </div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> std::unique_ptr<char[]> AllocateBuffer(std::ifstream& ifs, VarLenDataInfo& dataInfo)</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span> {</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  std::unique_ptr<char[]> ptr(<span class="keyword">new</span> <span class="keywordtype">char</span>[dataInfo.SizeOfData()]);</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  ifs.clear();</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  ifs.seekg(dataInfo.PositionOfData(), std::ios_base::beg);</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  ifs.read(ptr.get(), boost::numeric_cast<std::streamsize>(dataInfo.SizeOfData()));</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keywordflow">return</span> ptr;</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> }</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span> </div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> VarLenDataInfo CreateVarLenDataInfo(std::streamoff bufferStart, std::streamoff endOfLayer) {</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  std::streamoff sizeOfLayer = endOfLayer - bufferStart;</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keywordflow">if</span> (sizeOfLayer < 0)</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  {</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  std::stringstream ss;</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  ss << <span class="stringliteral">"error when determining buffer size, negative value ["</span> << sizeOfLayer << <span class="stringliteral">"]"</span>;</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>(ss.str());</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  }</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="comment">// NOTE: as some of the data being read in will be translated into strings (names of layers etc)</span></div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="comment">// the maximum size we can deal with is the upper size limit of a string i.e. size_t</span></div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="comment">// on the platform in which I am currently compiling std::streamoff is signed long int and</span></div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="comment">// size_t is unsigned long int so there is no way this error condition can fire but this stuff</span></div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="comment">// is supposed to be portable so the check remains in place</span></div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keywordflow">if</span> (boost::numeric_cast<size_t>(sizeOfLayer) > SIZE_MAX) {</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  std::stringstream ss;</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  ss << <span class="stringliteral">"layer is greater than "</span> << SIZE_MAX << <span class="stringliteral">" in size cannot process. layer size = ["</span> << sizeOfLayer << <span class="stringliteral">"]"</span>;</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>(ss.str());</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  }</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  LayerParameterInfo <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>(bufferStart, boost::numeric_cast<size_t>(sizeOfLayer));</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span> }</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> </div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> <span class="keywordtype">void</span> ReadTopologicalInfoForLayerParameter(LayerParameterInfo& layerInfo, std::ifstream& ifs)</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> {</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="comment">// position the file pointer to the start of the layer data</span></div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  ifs.clear();</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  ifs.seekg(layerInfo.PositionOfData(), std::ios_base::beg);</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  std::streamoff endOfLayer = layerInfo.PositionOfData() +</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  boost::numeric_cast<std::streamoff>(layerInfo.SizeOfData());</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keywordflow">while</span>(<span class="keyword">true</span>)</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  {</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="comment">// check to see if we have reached the end of the record</span></div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  std::streamoff currentPosition = ifs.tellg();</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordflow">if</span> (currentPosition >= endOfLayer) {</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  }</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="comment">// read the information for the next field.</span></div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  ProtobufFieldInfo fieldInfo = readFieldInfo(ifs);</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keywordflow">if</span> (fieldInfo.eof())</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  {</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="comment">// TODO: figure out whether this is an error condition or not...</span></div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="comment">//throw armnn::ParseException("failed to read field from LayerParameter data");</span></div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  }</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="comment">// process the field</span></div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">switch</span> (fieldInfo.field_type())</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  {</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keywordflow">case</span> 0:</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  {</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  ReadBase128(ifs);</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  }</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keywordflow">case</span> 2:</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  {</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keywordtype">int</span> size = ReadBase128(ifs);</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  std::streamoff posStartOfData = ifs.tellg();</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  VarLenDataInfo dataInfo(posStartOfData, boost::numeric_cast<size_t>(size));</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="comment">//optional string name = 1; // the layer name</span></div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="comment">//optional string type = 2; // the layer type</span></div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="comment">//repeated string bottom = 3; // the name of each bottom blob</span></div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="comment">//repeated string top = 4; // the name of each top blob</span></div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordflow">if</span> (fieldInfo.field_id() == 1)</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  {</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="comment">// read and set the name of the layer</span></div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keyword">auto</span> layerName = AllocateBuffer(ifs, dataInfo);</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  layerInfo.set_name(layerName, dataInfo.SizeOfData());</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  }</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (fieldInfo.field_id() == 2)</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  {</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="comment">// read and set the type of the layer</span></div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keyword">auto</span> layerType = AllocateBuffer(ifs, dataInfo);</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  layerInfo.set_type(layerType, dataInfo.SizeOfData());</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  }</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (fieldInfo.field_id() == 3)</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="comment">// read and add a bottom to the layer</span></div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keyword">auto</span> bottom = AllocateBuffer(ifs, dataInfo);</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  layerInfo.add_bottom(bottom, dataInfo.SizeOfData());</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>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (fieldInfo.field_id() == 4)</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>  <span class="comment">// read and add a top to the layer</span></div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="keyword">auto</span> top = AllocateBuffer(ifs, dataInfo);</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  layerInfo.add_top(top, dataInfo.SizeOfData());</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  }</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  {</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  ifs.seekg(size, std::ios_base::cur);</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keywordflow">if</span> (!ifs.good())</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  {</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="comment">// TODO: error out?</span></div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  }</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  }</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  }</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keywordflow">case</span> 1:</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  {</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="comment">// 64 bit</span></div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="comment">// advance by eight bytes</span></div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  ifs.seekg(8, std::ios_base::cur);</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="keywordflow">if</span> (!ifs.good())</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  {</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="comment">// TODO: error out?</span></div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordflow">return</span>;</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>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  }</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keywordflow">case</span> 5:</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  {</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="comment">// 32 bit</span></div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="comment">// advance by four bytes</span></div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  ifs.seekg(4, std::ios_base::cur);</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keywordflow">if</span> (!ifs.good())</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  {</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="comment">// TODO: error out?</span></div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  }</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  }</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  {</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>(<span class="stringliteral">"Encounted an unknown field type"</span>);</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keywordflow">break</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>  }</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span> }</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span> </div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> <span class="keywordtype">void</span> ResolveInPlaceLayers(std::vector<LayerParameterInfo>& layerInfo)</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>  std::map<std::string, std::vector<LayerParameterInfo*>> layersByTop;</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& info : layerInfo)</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  {</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> i = 0; i < <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.top_size(); ++i)</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  {</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  layersByTop[<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.top(i)].push_back(&info);</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  }</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  }</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="comment">// For each set of layers with the same top, resolve them to a linear chain rather than in-place layers.</span></div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="comment">// Note that for 'regular' layers, there will be a single layer in each group and so this will be a no-op.</span></div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& layersWithSameTopIterator : layersByTop)</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  {</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="keyword">const</span> std::string& top = layersWithSameTopIterator.first;</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keyword">const</span> std::vector<LayerParameterInfo*> layersWithSameTop = layersWithSameTopIterator.second;</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> </div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="comment">// Chain the layers together in the order that they are listed in the prototxt (hopefully this is correct).</span></div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="comment">// Note that the last layer will not have its top modified so that other layers will continue to reference it.</span></div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> layerIdx = 0; layerIdx < layersWithSameTop.size() - 1; ++layerIdx)</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>  LayerParameterInfo* layer1 = layersWithSameTop[layerIdx];</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  LayerParameterInfo* layer2 = layersWithSameTop[layerIdx + 1];</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keywordflow">if</span> (layer1->top_size() != 1)</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>(<span class="stringliteral">"Node '"</span> + layer1->name() + <span class="stringliteral">"' is an in-place layer but "</span></div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="stringliteral">"doesn't have exactly one top."</span>);</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  }</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  std::string newTop = layer1->name() + <span class="stringliteral">"_top"</span>;</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  layer1->set_top(0, newTop);</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordflow">if</span> (layer2->bottom_size() != 1 || layer2->bottom(0) != top)</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  {</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>(<span class="stringliteral">"Node '"</span> + layer2->name() + <span class="stringliteral">"' is an in-place layer but "</span></div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="stringliteral">" doesn't have exactly one bottom, or it doesn't match its top."</span>);</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  }</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  layer2->set_bottom(0, newTop);</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span> </div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  }</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  }</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span> }</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span> </div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span> } <span class="comment">// anonymous namespace, can't be seen outside this source file</span></div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span> </div><div class="line"><a name="l00461"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_record_by_record_caffe_parser.html#a9f5ad3c6d406bd00bd4ce3b85eb32324"> 461</a></span> <a class="code" href="classarmnn_caffe_parser_1_1_record_by_record_caffe_parser.html#a9f5ad3c6d406bd00bd4ce3b85eb32324">RecordByRecordCaffeParser::RecordByRecordCaffeParser</a>() : <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html">CaffeParserBase</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> </div><div class="line"><a name="l00464"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_record_by_record_caffe_parser.html#a2af73acd4a0513a5942d7c255babce1c"> 464</a></span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="classarmnn_caffe_parser_1_1_record_by_record_caffe_parser.html#a2af73acd4a0513a5942d7c255babce1c">RecordByRecordCaffeParser::CreateNetworkFromBinaryFile</a>(</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* graphFile,</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="keyword">const</span> std::map<std::string, armnn::TensorShape>& inputShapes,</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="keyword">const</span> std::vector<std::string>& requestedOutputs)</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span> {</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span> </div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a76ea67f3f7d1d5835c5a92b65dc0854c">m_InputShapes</a> = inputShapes;</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keywordflow">if</span> (requestedOutputs.size() == 0)</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  {</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>(<span class="stringliteral">"requestedOutputs must have at least one entry"</span>);</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  }</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  m_RequestedOutputs = requestedOutputs;</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span> </div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  std::ifstream ifs(graphFile, std::ifstream::in|std::ifstream::binary);</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="keywordflow">if</span> (ifs.fail())</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  {</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_file_not_found_exception.html">armnn::FileNotFoundException</a>(<span class="stringliteral">"Failed to open graph file '"</span> + std::string(graphFile) + <span class="stringliteral">"'"</span>);</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  }</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span> </div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  std::vector<LayerParameterInfo> layerInfo;</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  NetParameterInfo netParameterInfo;</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keywordflow">while</span>(<span class="keyword">true</span>)</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  {</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  ProtobufFieldInfo fieldInfo = readFieldInfo(ifs);</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <span class="keywordflow">if</span> (fieldInfo.eof())</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  {</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  }</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keywordflow">switch</span>(fieldInfo.field_type())</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>  <span class="keywordflow">case</span> 0:</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  {</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  ReadBase128(ifs);</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  }</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keywordflow">case</span> 2:</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  {</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="comment">// The values of interest from the caffe.proto schema are:</span></div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="comment">// optional string name = 1; // consider giving the network a name</span></div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <span class="comment">// DEPRECATED. See InputParameter. The input blobs to the network.</span></div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="comment">// repeated string input = 3;</span></div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="comment">// DEPRECATED. See InputParameter. The shape of the input blobs.</span></div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="comment">// repeated BlobShape input_shape = 8;</span></div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span> </div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="comment">// 4D input dimensions -- deprecated. Use "input_shape" instead.</span></div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <span class="comment">// If specified, for each input blob there should be four</span></div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="comment">// values specifying the num, channels, height and width of the input blob.</span></div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="comment">// Thus, there should be a total of (4 * #input) numbers.</span></div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="comment">// repeated int32 input_dim = 4;</span></div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span> </div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="comment">// The layers that make up the net. Each of their configurations, including</span></div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="comment">// connectivity and behavior, is specified as a LayerParameter.</span></div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="comment">// repeated LayerParameter layer = 100; // ID 100 so layers are printed last.</span></div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span> </div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="comment">// The first four will (if present) be read into the NetParameterInfo</span></div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="comment">// the LayerParameters will be read into the LayerParameterInfo vector.</span></div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span> </div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <span class="keywordtype">int</span> size = ReadBase128(ifs);</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  std::streamoff posStartOfData = ifs.tellg();</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  ifs.seekg(size, std::ios_base::cur);</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keywordflow">if</span>(!ifs.good())</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">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>(<span class="stringliteral">"failed to seek ahead in binary caffe file"</span>);</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>  std::streamoff endOfLayer = ifs.tellg();</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <span class="keywordflow">if</span> (fieldInfo.field_id() == 1)</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  {</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  VarLenDataInfo dataInfo = CreateVarLenDataInfo(posStartOfData, endOfLayer);</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keyword">auto</span> graphName = AllocateBuffer(ifs, dataInfo);</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  netParameterInfo.set_name(graphName, dataInfo.SizeOfData());</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="keywordflow">if</span> (fieldInfo.field_id() == 3)</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  {</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  VarLenDataInfo dataInfo = CreateVarLenDataInfo(posStartOfData, endOfLayer);</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <span class="keyword">auto</span> inputName = AllocateBuffer(ifs, dataInfo);</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  netParameterInfo.add_input(inputName, dataInfo.SizeOfData());</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  }</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <span class="keywordflow">if</span> (fieldInfo.field_id() == 8)</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  {</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  VarLenDataInfo dataInfo = CreateVarLenDataInfo(posStartOfData, endOfLayer);</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="keyword">auto</span> inputShape = AllocateBuffer(ifs, dataInfo);</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  caffe::BlobShape blobShape;</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="keywordtype">bool</span> bRet = blobShape.ParseFromArray(inputShape.get(), <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(dataInfo.SizeOfData()));</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="keywordflow">if</span> (!bRet)</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  {</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>(<span class="stringliteral">"Failed to parse input shape"</span>);</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  }</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  netParameterInfo.add_blob_shape(blobShape);</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  }</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="keywordflow">if</span> (fieldInfo.field_id() == 4)</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  {</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <span class="keywordtype">int</span> input_dim = ReadBase128(ifs);</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  netParameterInfo.add_input_dimension(input_dim);</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  }</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="keywordflow">if</span> (fieldInfo.field_id() == 100)</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  {</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  LayerParameterInfo <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>(CreateVarLenDataInfo(posStartOfData, endOfLayer));</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  ReadTopologicalInfoForLayerParameter(info, ifs);</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  layerInfo.push_back(info);</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  }</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  }</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <span class="keywordflow">default</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="keywordflow">break</span>;</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  }</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  }</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  }</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  std::vector<const LayerParameterInfo*> sortedNodes;</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  ProcessLayers(netParameterInfo, layerInfo, m_RequestedOutputs, sortedNodes);</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> networkPtr = LoadLayers(ifs, sortedNodes, netParameterInfo);</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="keywordflow">return</span> networkPtr;</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span> </div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span> }</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span> </div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span> <span class="keywordtype">void</span> RecordByRecordCaffeParser::ProcessLayers(</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <span class="keyword">const</span> NetParameterInfo& netParameterInfo,</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  std::vector<LayerParameterInfo>& layerInfo,</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <span class="keyword">const</span> std::vector<std::string>& m_RequestedOutputs,</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  std::vector<const LayerParameterInfo*>& sortedNodes)</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span> {</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <span class="comment">// if there is an implicit input layer add it to the layerInfo list</span></div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <span class="keywordflow">if</span> (netParameterInfo.input_size() > 0)</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  {</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  LayerParameterInfo implicitInputLayer(0, 0);</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  implicitInputLayer.set_type(LayerParameterInfo::INPUT);</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  implicitInputLayer.set_name(netParameterInfo.input(0));</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  implicitInputLayer.add_top(netParameterInfo.input(0));</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  layerInfo.push_back(implicitInputLayer);</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  }</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a89631aa06b5c628c46674c202b40dbc5">::ResolveInPlaceLayers</a>(layerInfo);</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span> </div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keywordflow">for</span> (LayerParameterInfo& <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> : layerInfo)</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  {</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> i = 0; i < <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.top_size(); ++i)</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  {</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  m_CaffeLayersByTopName[<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.top(i)] = &<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</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">// Find the output layers the user requested</span></div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  std::vector<const LayerParameterInfo*> targetLayers;</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> std::string& requestedOutputName : m_RequestedOutputs)</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  {</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <span class="keyword">auto</span> nodeIt = m_CaffeLayersByTopName.find(requestedOutputName);</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  <span class="keywordflow">if</span> (nodeIt == m_CaffeLayersByTopName.end())</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  {</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>(</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <span class="stringliteral">"Couldn't find requested output layer '"</span> + requestedOutputName + <span class="stringliteral">"' in graph"</span>);</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  }</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  targetLayers.push_back(nodeIt->second);</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  }</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span> </div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <span class="comment">// Sort them into a linear ordering such that all inputs of a node are before the node itself</span></div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keywordflow">if</span> (!armnnUtils::GraphTopologicalSort<const LayerParameterInfo*>(</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  targetLayers,</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  [<span class="keyword">this</span>](<span class="keyword">const</span> LayerParameterInfo* node)</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  {</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <span class="keywordflow">return</span> GetInputs(*node);</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  },</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  sortedNodes))</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  {</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>(<span class="stringliteral">"Cycle detected in graph"</span>);</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  }</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span> }</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span> </div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span> </div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span> std::vector<const LayerParameterInfo*> RecordByRecordCaffeParser::GetInputs(</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <span class="keyword">const</span> LayerParameterInfo& layerParam)</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span> {</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  std::vector<const LayerParameterInfo*> ret;</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  ret.reserve(layerParam.bottom_size());</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> j = 0; j < layerParam.bottom_size(); ++j)</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  {</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  std::string inputName = layerParam.bottom(j);</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  <span class="keyword">auto</span> inputIt = m_CaffeLayersByTopName.find(inputName);</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  <span class="keywordflow">if</span> (inputIt == m_CaffeLayersByTopName.end())</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  {</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>(</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  <span class="stringliteral">"Can't find Caffe layer with top called '"</span> + inputName + <span class="stringliteral">"', which is listed as an input of '"</span> +</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  layerParam.name() + <span class="stringliteral">"'"</span>);</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  }</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  ret.push_back(inputIt->second);</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  }</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span> </div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span> }</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span> </div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> RecordByRecordCaffeParser::LoadLayers(std::ifstream& ifs,</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  std::vector<const LayerParameterInfo *>& sortedNodes,</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  <span class="keyword">const</span> NetParameterInfo& netParameterInfo)</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span> {</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span> </div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#ac62e2558c14e01605f2b4e1e21cdd1e8">m_NetworkInputsBindingInfo</a>.clear();</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a62d6d6cba9ed0d3ad63fffb40aec86b5">m_NetworkOutputsBindingInfo</a>.clear();</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span> </div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a> = <a class="code" href="classarmnn_1_1_i_network.html#a706f7345af3f18f4b16e226a672214c6">armnn::INetwork::Create</a>();</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span> </div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> : sortedNodes)</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  {</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  caffe::LayerParameter layer;</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>->isImplicitInputLayer())</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  {</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <span class="comment">// create the matching Layer Parameter programatically from the data in the</span></div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="comment">// net parameter info which has been passed in...</span></div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  layer.set_type(LayerParameterInfo::INPUT);</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  layer.set_name(netParameterInfo.input(0));</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  layer.add_top(netParameterInfo.input(0));</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span> </div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  caffe::InputParameter* inputParam = layer.mutable_input_param();</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  caffe::BlobShape* shape = inputParam->add_shape();</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span> </div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  <span class="keywordtype">long</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dim_size = netParameterInfo.input_dimensions_size();</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < dim_size; ++i)</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  {</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  shape->add_dim(netParameterInfo.input_dimension(i));</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  }</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  }</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  {</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  <span class="keywordtype">char</span> *buffer = <span class="keyword">new</span> <span class="keywordtype">char</span>[<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>->SizeOfData()];</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  ifs.clear();</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  ifs.seekg(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>->PositionOfData(), std::ios_base::beg);</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  ifs.read(buffer, boost::numeric_cast<std::streamsize>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>->SizeOfData()));</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  <span class="keywordtype">bool</span> bRet = layer.ParseFromArray(buffer, static_cast<int>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>->SizeOfData()));</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  <span class="keyword">delete</span>[] buffer;</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  <span class="keywordflow">if</span> (!bRet)</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  {</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>(<span class="stringliteral">"Failed to parse layer ["</span> + <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>->name() + <span class="stringliteral">"]"</span>);</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  }</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  }</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span> </div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>->new_tops())</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  {</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  <span class="comment">//update the tops</span></div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  layer.set_top(0, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>->top(0));</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  }</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>->new_bottoms())</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  {</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <span class="comment">//update the bottoms</span></div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  layer.set_bottom(0, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>->bottom(0));</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  }</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span> </div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  <span class="keyword">auto</span> it = <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a25a42793445e13200fae0040d7c7d993">ms_CaffeLayerNameToParsingFunctions</a>.find(layer.type());</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  <span class="keywordflow">if</span> (it == <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a25a42793445e13200fae0040d7c7d993">ms_CaffeLayerNameToParsingFunctions</a>.end())</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  {</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>(<span class="stringliteral">"Unsupported layer type '"</span> + layer.type() + <span class="stringliteral">"'"</span>);</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  }</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  <span class="keyword">auto</span> func = it->second;</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  (this->*func)(layer);</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  }</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  ifs.close();</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span> </div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  <span class="comment">// Add ArmNN output layers connected to each requested output</span></div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> std::string& requestedOutput : m_RequestedOutputs)</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  {</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  <a class="code" href="classarmnn_1_1_i_output_slot.html">armnn::IOutputSlot</a>& outputSlot = <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a9650b8810d4e6734b255ca25d495fe06">GetArmnnOutputSlotForCaffeTop</a>(requestedOutput);</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span> </div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a> outputId = boost::numeric_cast<<a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a>>(</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a62d6d6cba9ed0d3ad63fffb40aec86b5">m_NetworkOutputsBindingInfo</a>.size());</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* <span class="keyword">const</span> outputLayer = <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a>->AddOutputLayer(outputId, requestedOutput.c_str());</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  outputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(outputLayer->GetInputSlot(0));</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span> </div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a0c98e07875a82c71c65bbb53eb347561">TrackOutputBinding</a>(outputLayer, outputId, outputLayer->GetInputSlot(0).GetConnection()->GetTensorInfo());</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  }</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span> </div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#ae89a123aad1c66a76c398b7af216aae4">Cleanup</a>();</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span> </div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  <span class="keywordflow">return</span> move(<a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a>);</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span> }</div><div class="ttc" id="_exceptions_8hpp_html"><div class="ttname"><a href="_exceptions_8hpp.html">Exceptions.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> |
| <div class="ttc" id="classarmnn_caffe_parser_1_1_caffe_parser_base_html_a9650b8810d4e6734b255ca25d495fe06"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a9650b8810d4e6734b255ca25d495fe06">armnnCaffeParser::CaffeParserBase::GetArmnnOutputSlotForCaffeTop</a></div><div class="ttdeci">armnn::IOutputSlot & GetArmnnOutputSlotForCaffeTop(const std::string &caffeTopName) const</div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8cpp_source.html#l01533">CaffeParser.cpp:1533</a></div></div> |
| <div class="ttc" id="classarmnn_caffe_parser_1_1_caffe_parser_base_html_a0c98e07875a82c71c65bbb53eb347561"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a0c98e07875a82c71c65bbb53eb347561">armnnCaffeParser::CaffeParserBase::TrackOutputBinding</a></div><div class="ttdeci">void TrackOutputBinding(armnn::IConnectableLayer *layer, armnn::LayerBindingId id, const armnn::TensorInfo &tensorInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8cpp_source.html#l01502">CaffeParser.cpp:1502</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_parse_exception_html"><div class="ttname"><a href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00092">Exceptions.hpp:92</a></div></div> |
| <div class="ttc" id="_cl_layer_tests_8cpp_html_a67e2647a90dec71bb79c8b38872ba570"><div class="ttname"><a href="_cl_layer_tests_8cpp.html#a67e2647a90dec71bb79c8b38872ba570">false</a></div><div class="ttdeci">DataLayout::NHWC false</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_tests_8cpp_source.html#l00103">ClLayerTests.cpp:103</a></div></div> |
| <div class="ttc" id="classarmnn_caffe_parser_1_1_caffe_parser_base_html_a89631aa06b5c628c46674c202b40dbc5"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a89631aa06b5c628c46674c202b40dbc5">armnnCaffeParser::CaffeParserBase::ResolveInPlaceLayers</a></div><div class="ttdeci">void ResolveInPlaceLayers(caffe::NetParameter &netParameter)</div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8cpp_source.html#l01572">CaffeParser.cpp:1572</a></div></div> |
| <div class="ttc" id="_cl_layer_tests_8cpp_html_a37f1c3ccc9fc906be85185350dd83d48"><div class="ttname"><a href="_cl_layer_tests_8cpp.html#a37f1c3ccc9fc906be85185350dd83d48">true</a></div><div class="ttdeci">DataLayout::NCHW DataLayout::NCHW DataLayout::NHWC DataLayout::NHWC true</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_tests_8cpp_source.html#l00176">ClLayerTests.cpp:176</a></div></div> |
| <div class="ttc" id="_utils_8hpp_html"><div class="ttname"><a href="_utils_8hpp.html">Utils.hpp</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_i_network_html_a706f7345af3f18f4b16e226a672214c6"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a706f7345af3f18f4b16e226a672214c6">armnn::INetwork::Create</a></div><div class="ttdeci">static INetworkPtr Create()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00048">Network.cpp:48</a></div></div> |
| <div class="ttc" id="classarmnn_caffe_parser_1_1_caffe_parser_base_html_a62d6d6cba9ed0d3ad63fffb40aec86b5"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a62d6d6cba9ed0d3ad63fffb40aec86b5">armnnCaffeParser::CaffeParserBase::m_NetworkOutputsBindingInfo</a></div><div class="ttdeci">std::unordered_map< std::string, BindingPointInfo > m_NetworkOutputsBindingInfo</div><div class="ttdoc">maps output layer names to their corresponding ids and tensor infos </div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8hpp_source.html#l00124">CaffeParser.hpp:124</a></div></div> |
| <div class="ttc" id="_graph_topological_sort_8hpp_html"><div class="ttname"><a href="_graph_topological_sort_8hpp.html">GraphTopologicalSort.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a></div><div class="ttdeci">std::unique_ptr< INetwork, void(*)(INetwork *network)> INetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00085">INetwork.hpp:85</a></div></div> |
| <div class="ttc" id="classarmnn_caffe_parser_1_1_caffe_parser_base_html_a2db3ae8d422f17d455e0ba0cb6291d2a"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a2db3ae8d422f17d455e0ba0cb6291d2a">armnnCaffeParser::CaffeParserBase::m_Network</a></div><div class="ttdeci">armnn::INetworkPtr m_Network</div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8hpp_source.html#l00126">CaffeParser.hpp:126</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_i_output_slot_html"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html">armnn::IOutputSlot</a></div><div class="ttdoc">An output connection slot for a layer. The output slot may be connected to 1 or more input slots of s...</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00037">INetwork.hpp:37</a></div></div> |
| <div class="ttc" id="namespacearmnn_caffe_parser_html"><div class="ttname"><a href="namespacearmnn_caffe_parser.html">armnnCaffeParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_caffe_parser_8hpp_source.html#l00016">ICaffeParser.hpp:16</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_i_connectable_layer_html"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00061">INetwork.hpp:61</a></div></div> |
| <div class="ttc" id="classarmnn_caffe_parser_1_1_caffe_parser_base_html_ac62e2558c14e01605f2b4e1e21cdd1e8"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#ac62e2558c14e01605f2b4e1e21cdd1e8">armnnCaffeParser::CaffeParserBase::m_NetworkInputsBindingInfo</a></div><div class="ttdeci">std::unordered_map< std::string, BindingPointInfo > m_NetworkInputsBindingInfo</div><div class="ttdoc">maps input layer names to their corresponding ids and tensor infos </div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8hpp_source.html#l00121">CaffeParser.hpp:121</a></div></div> |
| <div class="ttc" id="classarmnn_caffe_parser_1_1_record_by_record_caffe_parser_html_a9f5ad3c6d406bd00bd4ce3b85eb32324"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_record_by_record_caffe_parser.html#a9f5ad3c6d406bd00bd4ce3b85eb32324">armnnCaffeParser::RecordByRecordCaffeParser::RecordByRecordCaffeParser</a></div><div class="ttdeci">RecordByRecordCaffeParser()</div><div class="ttdef"><b>Definition:</b> <a href="_record_by_record_caffe_parser_8cpp_source.html#l00461">RecordByRecordCaffeParser.cpp:461</a></div></div> |
| <div class="ttc" id="classarmnn_caffe_parser_1_1_caffe_parser_base_html"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_caffe_parser_base.html">armnnCaffeParser::CaffeParserBase</a></div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8hpp_source.html#l00026">CaffeParser.hpp:26</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_file_not_found_exception_html"><div class="ttname"><a href="classarmnn_1_1_file_not_found_exception.html">armnn::FileNotFoundException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00086">Exceptions.hpp:86</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_i_output_slot_html_ac1835f8756a9f03c02fcf9664e3a0fce"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">armnn::IOutputSlot::Connect</a></div><div class="ttdeci">virtual int Connect(IInputSlot &destination)=0</div></div> |
| <div class="ttc" id="_record_by_record_caffe_parser_8hpp_html"><div class="ttname"><a href="_record_by_record_caffe_parser_8hpp.html">RecordByRecordCaffeParser.hpp</a></div></div> |
| <div class="ttc" id="classarmnn_caffe_parser_1_1_record_by_record_caffe_parser_html_a2af73acd4a0513a5942d7c255babce1c"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_record_by_record_caffe_parser.html#a2af73acd4a0513a5942d7c255babce1c">armnnCaffeParser::RecordByRecordCaffeParser::CreateNetworkFromBinaryFile</a></div><div class="ttdeci">virtual armnn::INetworkPtr CreateNetworkFromBinaryFile(const char *graphFile, const std::map< std::string, armnn::TensorShape > &inputShapes, const std::vector< std::string > &requestedOutputs) override</div><div class="ttdoc">Create the network from a protobuf binary file on disk. </div><div class="ttdef"><b>Definition:</b> <a href="_record_by_record_caffe_parser_8cpp_source.html#l00464">RecordByRecordCaffeParser.cpp:464</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ab8cf8f9fb6792e654c2d8d8382f6f01b"><div class="ttname"><a href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a></div><div class="ttdeci">int LayerBindingId</div><div class="ttdoc">Type of identifiers for bindable layers (inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00168">Types.hpp:168</a></div></div> |
| <div class="ttc" id="classarmnn_caffe_parser_1_1_caffe_parser_base_html_a76ea67f3f7d1d5835c5a92b65dc0854c"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a76ea67f3f7d1d5835c5a92b65dc0854c">armnnCaffeParser::CaffeParserBase::m_InputShapes</a></div><div class="ttdeci">std::map< std::string, armnn::TensorShape > m_InputShapes</div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8hpp_source.html#l00128">CaffeParser.hpp:128</a></div></div> |
| <div class="ttc" id="classarmnn_caffe_parser_1_1_caffe_parser_base_html_a25a42793445e13200fae0040d7c7d993"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a25a42793445e13200fae0040d7c7d993">armnnCaffeParser::CaffeParserBase::ms_CaffeLayerNameToParsingFunctions</a></div><div class="ttdeci">static const std::map< std::string, OperationParsingFunction > ms_CaffeLayerNameToParsingFunctions</div><div class="ttdoc">Maps Caffe layer names to parsing member functions. </div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8hpp_source.html#l00118">CaffeParser.hpp:118</a></div></div> |
| <div class="ttc" id="classarmnn_caffe_parser_1_1_caffe_parser_base_html_ae89a123aad1c66a76c398b7af216aae4"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#ae89a123aad1c66a76c398b7af216aae4">armnnCaffeParser::CaffeParserBase::Cleanup</a></div><div class="ttdeci">void Cleanup()</div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8cpp_source.html#l01860">CaffeParser.cpp:1860</a></div></div> |
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