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<a href="_caffe_parser_8hpp.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> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_i_caffe_parser_8hpp.html">armnnCaffeParser/ICaffeParser.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="_types_8hpp.html">armnn/Types.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_network_fwd_8hpp.html">armnn/NetworkFwd.hpp</a>"</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include "<a class="code" href="_tensor_8hpp.html">armnn/Tensor.hpp</a>"</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 <memory></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <vector></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <unordered_map></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="keyword">namespace </span><a class="code" href="namespacecaffe.html">caffe</a></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> {</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">class </span>BlobShape;</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="keyword">class </span>LayerParameter;</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="keyword">class </span>NetParameter;</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> }</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> </div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn_caffe_parser.html">armnnCaffeParser</a></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</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"><a class="line" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html"> 26</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html">CaffeParserBase</a>: <span class="keyword">public</span> <a class="code" href="classarmnn_caffe_parser_1_1_i_caffe_parser.html">ICaffeParser</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="keyword">public</span>:</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="comment">// Because we haven't looked at reducing the memory usage when loading from Text/String</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="comment">// have to retain these functions here for the moment.</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromTextFile(</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* graphFile,</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">const</span> std::map<std::string, armnn::TensorShape>& inputShapes,</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">const</span> std::vector<std::string>& requestedOutputs) <span class="keyword">override</span>;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keyword">virtual</span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromString(</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* protoText,</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">const</span> std::map<std::string, armnn::TensorShape>& inputShapes,</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">const</span> std::vector<std::string>& requestedOutputs) <span class="keyword">override</span>;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">virtual</span> <a class="code" href="namespacearmnn.html#a280670a263dc4fd40491f6d0a2737f44">BindingPointInfo</a> GetNetworkInputBindingInfo(<span class="keyword">const</span> std::string& name) <span class="keyword">const override</span>;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">virtual</span> <a class="code" href="namespacearmnn.html#a280670a263dc4fd40491f6d0a2737f44">BindingPointInfo</a> GetNetworkOutputBindingInfo(<span class="keyword">const</span> std::string& name) <span class="keyword">const override</span>;</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>  <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html">CaffeParserBase</a>();</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="keyword">protected</span>:</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordtype">void</span> ParseInputLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordtype">void</span> ParseConvLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordtype">void</span> ParsePoolingLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordtype">void</span> ParseReluLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordtype">void</span> ParseLRNLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordtype">void</span> ParseInnerProductLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordtype">void</span> ParseSoftmaxLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordtype">void</span> ParseEltwiseLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordtype">void</span> ParseConcatLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordtype">void</span> ParseBatchNormLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordtype">void</span> ParseScaleLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordtype">void</span> ParseSplitLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordtype">void</span> ParseDropoutLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordtype">void</span> AddConvLayerWithSplits(<span class="keyword">const</span> caffe::LayerParameter& layerParam,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.html">armnn::Convolution2dDescriptor</a> & desc,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> kernelW,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> kernelH);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordtype">void</span> AddConvLayerWithDepthwiseConv(<span class="keyword">const</span> caffe::LayerParameter& layerParam,</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.html">armnn::Convolution2dDescriptor</a> & desc,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> kernelW,</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> kernelH);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> BlobShapeToTensorInfo(<span class="keyword">const</span> caffe::BlobShape& blobShape) <span class="keyword">const</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>  <span class="keywordtype">void</span> TrackInputBinding(<a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a> <span class="keywordtype">id</span>,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>& tensorInfo);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> TrackBindingPoint(<a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer, <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a> <span class="keywordtype">id</span>,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>& tensorInfo,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* bindingPointDesc,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  std::unordered_map<std::string, BindingPointInfo>& nameToBindingInfo);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordtype">void</span> TrackOutputBinding(<a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a> <span class="keywordtype">id</span>,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>& tensorInfo);</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> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordtype">void</span> SetArmnnOutputSlotForCaffeTop(<span class="keyword">const</span> std::string& caffeTopName, <a class="code" href="classarmnn_1_1_i_output_slot.html">armnn::IOutputSlot</a>& armnnOutputSlot);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="classarmnn_1_1_i_output_slot.html">armnn::IOutputSlot</a>& GetArmnnOutputSlotForCaffeTop(<span class="keyword">const</span> std::string& caffeTopName) <span class="keyword">const</span>;</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>  <span class="keyword">static</span> std::pair<armnn::LayerBindingId, armnn::TensorInfo> GetBindingInfo(</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keyword">const</span> std::string& layerName,</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* bindingPointDesc,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keyword">const</span> std::unordered_map<std::string, BindingPointInfo>& bindingInfos);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </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>  <span class="keywordtype">void</span> Cleanup();</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a92e74211c7da4501270bc01a6acef64c"> 115</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a92e74211c7da4501270bc01a6acef64c">OperationParsingFunction</a> = void(<a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html">CaffeParserBase</a>::*)(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00118"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a25a42793445e13200fae0040d7c7d993"> 118</a></span>  <span class="keyword">static</span> <span class="keyword">const</span> std::map<std::string, OperationParsingFunction> <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a25a42793445e13200fae0040d7c7d993">ms_CaffeLayerNameToParsingFunctions</a>;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div><div class="line"><a name="l00121"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#ac62e2558c14e01605f2b4e1e21cdd1e8"> 121</a></span>  std::unordered_map<std::string, BindingPointInfo> <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#ac62e2558c14e01605f2b4e1e21cdd1e8">m_NetworkInputsBindingInfo</a>;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a62d6d6cba9ed0d3ad63fffb40aec86b5"> 124</a></span>  std::unordered_map<std::string, BindingPointInfo> <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a62d6d6cba9ed0d3ad63fffb40aec86b5">m_NetworkOutputsBindingInfo</a>;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a2db3ae8d422f17d455e0ba0cb6291d2a"> 126</a></span>  <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a>;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a76ea67f3f7d1d5835c5a92b65dc0854c"> 128</a></span>  std::map<std::string, armnn::TensorShape> <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a76ea67f3f7d1d5835c5a92b65dc0854c">m_InputShapes</a>;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a9c99d40a72e6f0c6e4ad92d21e44edca"> 131</a></span>  std::unordered_map<std::string, armnn::IOutputSlot*> <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a9c99d40a72e6f0c6e4ad92d21e44edca">m_ArmnnOutputSlotForCaffeTop</a>;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div><div class="line"><a name="l00133"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a86cb41745deebd9b0ccf157d97d4d9ca"> 133</a></span>  std::vector<std::string> <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a86cb41745deebd9b0ccf157d97d4d9ca">m_RequestedOutputs</a>;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">// Stuff which has gone to base class simply because we haven't done any</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="comment">// memory optimisation on the text/string format. If we move this to a layer</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="comment">// by layer parse as well these can move to the CaffeParser class.</span></div><div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a1424f1bfbfc81d317b51053bbb315ef1"> 139</a></span>  std::map<std::string, const caffe::LayerParameter*> <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a1424f1bfbfc81d317b51053bbb315ef1">m_CaffeLayersByTopName</a>;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromNetParameter(</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  caffe::NetParameter& netParam,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keyword">const</span> std::map<std::string, armnn::TensorShape>& inputShapes,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">const</span> std::vector<std::string>& requestedOutputs);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordtype">void</span> LoadNetParam(caffe::NetParameter& netParameter);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  std::vector<const caffe::LayerParameter*> GetInputs(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordtype">void</span> ResolveInPlaceLayers(caffe::NetParameter& netParameter);</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> };</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div><div class="line"><a name="l00159"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_caffe_parser.html"> 159</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser.html">CaffeParser</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser_base.html">CaffeParserBase</a></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> </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keyword">virtual</span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromBinaryFile(</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* graphFile,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keyword">const</span> std::map<std::string, armnn::TensorShape>& inputShapes,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keyword">const</span> std::vector<std::string>& requestedOutputs) <span class="keyword">override</span>;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser.html">CaffeParser</a>();</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> };</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> }</div><div class="ttc" id="namespacecaffe_html"><div class="ttname"><a href="namespacecaffe.html">caffe</a></div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8hpp_source.html#l00016">CaffeParser.hpp:16</a></div></div>
<div class="ttc" id="_network_fwd_8hpp_html"><div class="ttname"><a href="_network_fwd_8hpp.html">NetworkFwd.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="classarmnn_caffe_parser_1_1_caffe_parser_base_html_a92e74211c7da4501270bc01a6acef64c"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a92e74211c7da4501270bc01a6acef64c">armnnCaffeParser::CaffeParserBase::OperationParsingFunction</a></div><div class="ttdeci">void(CaffeParserBase::*)(const caffe::LayerParameter &layerParam) OperationParsingFunction</div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8hpp_source.html#l00115">CaffeParser.hpp:115</a></div></div>
<div class="ttc" id="namespacearmnn_html_a280670a263dc4fd40491f6d0a2737f44"><div class="ttname"><a href="namespacearmnn.html#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a></div><div class="ttdeci">std::pair< armnn::LayerBindingId, armnn::TensorInfo > BindingPointInfo</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00146">Tensor.hpp:146</a></div></div>
<div class="ttc" id="classarmnn_caffe_parser_1_1_caffe_parser_base_html_a86cb41745deebd9b0ccf157d97d4d9ca"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a86cb41745deebd9b0ccf157d97d4d9ca">armnnCaffeParser::CaffeParserBase::m_RequestedOutputs</a></div><div class="ttdeci">std::vector< std::string > m_RequestedOutputs</div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8hpp_source.html#l00133">CaffeParser.hpp:133</a></div></div>
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<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="_types_8hpp_html"><div class="ttname"><a href="_types_8hpp.html">Types.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_a9c99d40a72e6f0c6e4ad92d21e44edca"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a9c99d40a72e6f0c6e4ad92d21e44edca">armnnCaffeParser::CaffeParserBase::m_ArmnnOutputSlotForCaffeTop</a></div><div class="ttdeci">std::unordered_map< std::string, armnn::IOutputSlot * > m_ArmnnOutputSlotForCaffeTop</div><div class="ttdoc">As we add armnn layers we store the armnn IOutputSlot which corresponds to the Caffe tops...</div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8hpp_source.html#l00131">CaffeParser.hpp:131</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>
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<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_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="structarmnn_1_1_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00392">Descriptors.hpp:392</a></div></div>
<div class="ttc" id="classarmnn_caffe_parser_1_1_caffe_parser_html"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_caffe_parser.html">armnnCaffeParser::CaffeParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8hpp_source.html#l00159">CaffeParser.hpp:159</a></div></div>
<div class="ttc" id="classarmnn_caffe_parser_1_1_caffe_parser_base_html_a1424f1bfbfc81d317b51053bbb315ef1"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_caffe_parser_base.html#a1424f1bfbfc81d317b51053bbb315ef1">armnnCaffeParser::CaffeParserBase::m_CaffeLayersByTopName</a></div><div class="ttdeci">std::map< std::string, const caffe::LayerParameter * > m_CaffeLayersByTopName</div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8hpp_source.html#l00139">CaffeParser.hpp:139</a></div></div>
<div class="ttc" id="classarmnn_caffe_parser_1_1_i_caffe_parser_html"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_i_caffe_parser.html">armnnCaffeParser::ICaffeParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_caffe_parser_8hpp_source.html#l00024">ICaffeParser.hpp:24</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>
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