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<a href="_caffe_parser_8hpp.xhtml">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.xhtml">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.xhtml">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.xhtml">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.xhtml">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.xhtml">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.xhtml">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_i_caffe_parser_1_1_caffe_parser_impl.xhtml"> 26</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml">ICaffeParser::CaffeParserImpl</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><span class="comment"></span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment"> /// Create the network from a protobuf text file on disk</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#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);</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment"></span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"> /// Create the network from a protobuf binary file on the disk.</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromBinaryFile(</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* graphFile,</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">const</span> std::map<std::string, armnn::TensorShape>& inputShapes,</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">const</span> std::vector<std::string>& requestedOutputs) = 0;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"></span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"> /// Creates the network directly from protobuf text in a string. Useful for debugging/testing.</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromString(</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* protoText,</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">const</span> std::map<std::string, armnn::TensorShape>& inputShapes,</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">const</span> std::vector<std::string>& requestedOutputs);</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"></span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"> /// Retrieves binding info (layer id and tensor info) for the network input identified by the given layer name.</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">BindingPointInfo</a> GetNetworkInputBindingInfo(<span class="keyword">const</span> std::string& name) <span class="keyword">const</span>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"></span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> /// Retrieves binding info (layer id and tensor info) for the network output identified by the given layer name.</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">BindingPointInfo</a> GetNetworkOutputBindingInfo(<span class="keyword">const</span> std::string& name) <span class="keyword">const</span>;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"></span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> /// Retrieve version in X.Y.Z form</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"></span> <span class="keyword">static</span> <span class="keyword">const</span> std::string <a class="code" href="namespacearmnn.xhtml#aa09a8bb02eed50715082d8b7fccd2f8d">GetVersion</a>();</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml">CaffeParserImpl</a>();</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">virtual</span> ~<a class="code" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml">CaffeParserImpl</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="keyword">protected</span>:<span class="comment"></span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment"> /// Adds an armnn layer to m_Network given a Caffe LayerParameter of the correct type</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="comment"> /// and is responsible for recording any newly created IOutputSlots using SetArmnnOutputSlotForCaffeTop().</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="comment"> /// @{</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment"></span> <span class="keywordtype">void</span> ParseInputLayer(<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> ParseConvLayer(<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> ParseDeconvLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordtype">void</span> ParsePoolingLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordtype">void</span> ParseReluLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordtype">void</span> ParseLRNLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordtype">void</span> ParseInnerProductLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordtype">void</span> ParseSoftmaxLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordtype">void</span> ParseEltwiseLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordtype">void</span> ParseConcatLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordtype">void</span> ParseBatchNormLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordtype">void</span> ParseScaleLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordtype">void</span> ParseSplitLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordtype">void</span> ParseDropoutLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordtype">void</span> ParseArgmaxLayer(<span class="keyword">const</span> caffe::LayerParameter& layerParam);<span class="comment"></span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="comment"> /// @}</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="comment"></span><span class="comment"></span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="comment"> /// ParseConv may use these helpers depending on the group parameter</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="comment"> /// @{</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="comment"></span> <span class="keywordtype">void</span> AddConvLayerWithSplits(<span class="keyword">const</span> caffe::LayerParameter& layerParam,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a> & desc,</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> kernelW,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> kernelH);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordtype">void</span> AddConvLayerWithDepthwiseConv(<span class="keyword">const</span> caffe::LayerParameter& layerParam,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a> & desc,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> kernelW,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> kernelH);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordtype">void</span> AddDeconvLayerWithSplits(<span class="keyword">const</span> caffe::LayerParameter& layerParam,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">armnn::TransposeConvolution2dDescriptor</a>& desc,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> kernelW,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> kernelH);<span class="comment"></span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="comment"> /// @}</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="comment"></span><span class="comment"></span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment"> /// Converts Caffe's protobuf tensor shape format to ArmNN's</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> BlobShapeToTensorInfo(<span class="keyword">const</span> caffe::BlobShape& blobShape) <span class="keyword">const</span>;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordtype">void</span> TrackInputBinding(<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a> <span class="keywordtype">id</span>,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensorInfo);</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> <span class="keywordtype">void</span> TrackBindingPoint(<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a> <span class="keywordtype">id</span>,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensorInfo,</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>  std::unordered_map<std::string, BindingPointInfo>& nameToBindingInfo);</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>  <span class="keywordtype">void</span> TrackOutputBinding(<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a> <span class="keywordtype">id</span>,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensorInfo);</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> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</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.xhtml">armnn::IOutputSlot</a>& armnnOutputSlot);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="comment"></span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="comment"> /// Retrieves the Armnn IOutputSlot representing the given Caffe top.</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="comment"> /// Throws if it cannot be found (e.g. not parsed yet).</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a>& GetArmnnOutputSlotForCaffeTop(<span class="keyword">const</span> std::string& caffeTopName) <span class="keyword">const</span>;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keyword">static</span> std::pair<armnn::LayerBindingId, armnn::TensorInfo> GetBindingInfo(</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keyword">const</span> std::string& layerName,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* bindingPointDesc,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keyword">const</span> std::unordered_map<std::string, BindingPointInfo>& bindingInfos);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordtype">void</span> Cleanup();</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#ad3507f89e37ad28d864101b4374d78eb"> 131</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#ad3507f89e37ad28d864101b4374d78eb">OperationParsingFunction</a> = void(<a class="code" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml">CaffeParserImpl</a>::*)(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="comment"></span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="comment"> /// Maps Caffe layer names to parsing member functions.</span></div><div class="line"><a name="l00134"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a6fb0cd80a09cf767309175fb138d203b"> 134</a></span> <span class="comment"></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_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a6fb0cd80a09cf767309175fb138d203b">ms_CaffeLayerNameToParsingFunctions</a>;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="comment"></span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="comment"> /// maps input layer names to their corresponding ids and tensor infos</span></div><div class="line"><a name="l00137"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#ac62e2558c14e01605f2b4e1e21cdd1e8"> 137</a></span> <span class="comment"></span> std::unordered_map<std::string, BindingPointInfo> <a class="code" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#ac62e2558c14e01605f2b4e1e21cdd1e8">m_NetworkInputsBindingInfo</a>;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> <span class="comment"></span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="comment"> /// maps output layer names to their corresponding ids and tensor infos</span></div><div class="line"><a name="l00140"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a62d6d6cba9ed0d3ad63fffb40aec86b5"> 140</a></span> <span class="comment"></span> std::unordered_map<std::string, BindingPointInfo> <a class="code" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a62d6d6cba9ed0d3ad63fffb40aec86b5">m_NetworkOutputsBindingInfo</a>;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a2db3ae8d422f17d455e0ba0cb6291d2a"> 142</a></span>  <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a>;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00144"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a76ea67f3f7d1d5835c5a92b65dc0854c"> 144</a></span>  std::map<std::string, armnn::TensorShape> <a class="code" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a76ea67f3f7d1d5835c5a92b65dc0854c">m_InputShapes</a>;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> <span class="comment"></span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="comment"> /// As we add armnn layers we store the armnn IOutputSlot which corresponds to the Caffe tops.</span></div><div class="line"><a name="l00147"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a9c99d40a72e6f0c6e4ad92d21e44edca"> 147</a></span> <span class="comment"></span> std::unordered_map<std::string, armnn::IOutputSlot*> <a class="code" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a9c99d40a72e6f0c6e4ad92d21e44edca">m_ArmnnOutputSlotForCaffeTop</a>;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a86cb41745deebd9b0ccf157d97d4d9ca"> 149</a></span>  std::vector<std::string> <a class="code" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a86cb41745deebd9b0ccf157d97d4d9ca">m_RequestedOutputs</a>;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div><div class="line"><a name="l00152"></a><span class="lineno"> 152</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="l00153"></a><span class="lineno"> 153</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="l00154"></a><span class="lineno"> 154</span>  <span class="comment">// by layer parse as well these can move to the CaffeParser class.</span></div><div class="line"><a name="l00155"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a1424f1bfbfc81d317b51053bbb315ef1"> 155</a></span>  std::map<std::string, const caffe::LayerParameter*> <a class="code" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a1424f1bfbfc81d317b51053bbb315ef1">m_CaffeLayersByTopName</a>;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <span class="comment"></span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="comment"> /// Parses a NetParameter loaded into memory from one of the other CreateNetwork*</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromNetParameter(</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  caffe::NetParameter& netParam,</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keyword">const</span> std::map<std::string, armnn::TensorShape>& inputShapes,</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keyword">const</span> std::vector<std::string>& requestedOutputs);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> <span class="comment"></span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> <span class="comment"> /// does the actual conversion from caffe::NetParameter to armnn::INetwork</span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> <span class="comment"></span> <span class="keywordtype">void</span> LoadNetParam(caffe::NetParameter& netParameter);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="comment"></span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="comment"> /// Find the Caffe layers listed as inputs (bottoms) for a given layer.</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="comment"></span> std::vector<const caffe::LayerParameter*> GetInputs(<span class="keyword">const</span> caffe::LayerParameter& layerParam);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="comment"></span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="comment"> /// Modifies the Caffe network to replace "in-place" layers (whose top() and bottom() are both the same)</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="comment"> /// with regular layers. This simplifies further parsing.</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="comment"></span> <span class="keywordtype">void</span> ResolveInPlaceLayers(caffe::NetParameter& netParameter);</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="line"><a name="l00174"></a><span class="lineno"> 174</span> </div><div class="line"><a name="l00175"></a><span class="lineno"><a class="line" href="classarmnn_caffe_parser_1_1_caffe_parser.xhtml"> 175</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser.xhtml">CaffeParser</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml">ICaffeParser::CaffeParserImpl</a></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="keyword">public</span>:</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> <span class="comment"></span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <span class="comment"> /// Create the network from a protobuf binary file on disk</span></div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> <span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromBinaryFile(</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* graphFile,</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keyword">const</span> std::map<std::string, armnn::TensorShape>& inputShapes,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keyword">const</span> std::vector<std::string>& requestedOutputs) <span class="keyword">override</span>;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <a class="code" href="classarmnn_caffe_parser_1_1_caffe_parser.xhtml">CaffeParser</a>();</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> };</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> }</div><div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml">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.xhtml#l00062">INetwork.hpp:62</a></div></div>
<div class="ttc" id="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl_xhtml_a76ea67f3f7d1d5835c5a92b65dc0854c"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a76ea67f3f7d1d5835c5a92b65dc0854c">armnnCaffeParser::ICaffeParser::CaffeParserImpl::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.xhtml#l00144">CaffeParser.hpp:144</a></div></div>
<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">armnn::TransposeConvolution2dDescriptor</a></div><div class="ttdoc">A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01213">Descriptors.hpp:1213</a></div></div>
<div class="ttc" id="_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00408">Descriptors.hpp:408</a></div></div>
<div class="ttc" id="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl_xhtml_a86cb41745deebd9b0ccf157d97d4d9ca"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a86cb41745deebd9b0ccf157d97d4d9ca">armnnCaffeParser::ICaffeParser::CaffeParserImpl::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.xhtml#l00149">CaffeParser.hpp:149</a></div></div>
<div class="ttc" id="namespacearmnn_caffe_parser_xhtml"><div class="ttname"><a href="namespacearmnn_caffe_parser.xhtml">armnnCaffeParser</a></div><div class="ttdoc">Caffe networks are loaded from protobuf files (binary or text) using the protobuf library and the gen...</div><div class="ttdef"><b>Definition:</b> <a href="_i_caffe_parser_8hpp_source.xhtml#l00016">ICaffeParser.hpp:16</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_aa09a8bb02eed50715082d8b7fccd2f8d"><div class="ttname"><a href="namespacearmnn.xhtml#aa09a8bb02eed50715082d8b7fccd2f8d">armnn::GetVersion</a></div><div class="ttdeci">const std::string GetVersion()</div><div class="ttdef"><b>Definition:</b> <a href="_utils_8cpp_source.xhtml#l00077">Utils.cpp:77</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ab8cf8f9fb6792e654c2d8d8382f6f01b"><div class="ttname"><a href="namespacearmnn.xhtml#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.xhtml#l00210">Types.hpp:210</a></div></div>
<div class="ttc" id="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl_xhtml_a62d6d6cba9ed0d3ad63fffb40aec86b5"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a62d6d6cba9ed0d3ad63fffb40aec86b5">armnnCaffeParser::ICaffeParser::CaffeParserImpl::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.xhtml#l00140">CaffeParser.hpp:140</a></div></div>
<div class="ttc" id="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl_xhtml"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml">armnnCaffeParser::ICaffeParser::CaffeParserImpl</a></div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8hpp_source.xhtml#l00026">CaffeParser.hpp:26</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a></div><div class="ttdoc">An output connection slot for a layer. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00038">INetwork.hpp:38</a></div></div>
<div class="ttc" id="_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</a></div></div>
<div class="ttc" id="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl_xhtml_a6fb0cd80a09cf767309175fb138d203b"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a6fb0cd80a09cf767309175fb138d203b">armnnCaffeParser::ICaffeParser::CaffeParserImpl::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.xhtml#l00134">CaffeParser.hpp:134</a></div></div>
<div class="ttc" id="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl_xhtml_ac62e2558c14e01605f2b4e1e21cdd1e8"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#ac62e2558c14e01605f2b4e1e21cdd1e8">armnnCaffeParser::ICaffeParser::CaffeParserImpl::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.xhtml#l00137">CaffeParser.hpp:137</a></div></div>
<div class="ttc" id="namespacecaffe_xhtml"><div class="ttname"><a href="namespacecaffe.xhtml">caffe</a></div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8hpp_source.xhtml#l00016">CaffeParser.hpp:16</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a280670a263dc4fd40491f6d0a2737f44"><div class="ttname"><a href="namespacearmnn.xhtml#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.xhtml#l00261">Tensor.hpp:261</a></div></div>
<div class="ttc" id="classarmnn_caffe_parser_1_1_caffe_parser_xhtml"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_caffe_parser.xhtml">armnnCaffeParser::CaffeParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8hpp_source.xhtml#l00175">CaffeParser.hpp:175</a></div></div>
<div class="ttc" id="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl_xhtml_a2db3ae8d422f17d455e0ba0cb6291d2a"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a2db3ae8d422f17d455e0ba0cb6291d2a">armnnCaffeParser::ICaffeParser::CaffeParserImpl::m_Network</a></div><div class="ttdeci">armnn::INetworkPtr m_Network</div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8hpp_source.xhtml#l00142">CaffeParser.hpp:142</a></div></div>
<div class="ttc" id="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl_xhtml_a9c99d40a72e6f0c6e4ad92d21e44edca"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a9c99d40a72e6f0c6e4ad92d21e44edca">armnnCaffeParser::ICaffeParser::CaffeParserImpl::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.xhtml#l00147">CaffeParser.hpp:147</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.xhtml#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.xhtml#l00173">INetwork.hpp:173</a></div></div>
<div class="ttc" id="_network_fwd_8hpp_xhtml"><div class="ttname"><a href="_network_fwd_8hpp.xhtml">NetworkFwd.hpp</a></div></div>
<div class="ttc" id="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl_xhtml_ad3507f89e37ad28d864101b4374d78eb"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#ad3507f89e37ad28d864101b4374d78eb">armnnCaffeParser::ICaffeParser::CaffeParserImpl::OperationParsingFunction</a></div><div class="ttdeci">void(CaffeParserImpl::*)(const caffe::LayerParameter &layerParam) OperationParsingFunction</div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8hpp_source.xhtml#l00131">CaffeParser.hpp:131</a></div></div>
<div class="ttc" id="_i_caffe_parser_8hpp_xhtml"><div class="ttname"><a href="_i_caffe_parser_8hpp.xhtml">ICaffeParser.hpp</a></div></div>
<div class="ttc" id="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl_xhtml_a1424f1bfbfc81d317b51053bbb315ef1"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_i_caffe_parser_1_1_caffe_parser_impl.xhtml#a1424f1bfbfc81d317b51053bbb315ef1">armnnCaffeParser::ICaffeParser::CaffeParserImpl::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.xhtml#l00155">CaffeParser.hpp:155</a></div></div>
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