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<div class="title">OnnxParser.hpp</div> </div>
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<a href="_onnx_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>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017,2022-2023 Arm Ltd and Contributors. All rights reserved.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="preprocessor">#pragma once</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160; </div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_onnx_parser_8hpp.html">armnnOnnxParser/IOnnxParser.hpp</a>&quot;</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;google/protobuf/repeated_field.h&quot;</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;unordered_map&gt;</span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160; </div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;onnx/onnx.pb.h&gt;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160; </div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160; </div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;{</div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="keyword">class </span>TensorInfo;</div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="keyword">enum class</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">ActivationFunction</a>;</div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;}</div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; </div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn_onnx_parser.html">armnnOnnxParser</a></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;{</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; </div>
<div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="namespacearmnn_onnx_parser.html#a503ae4f55dae1486e53978657083b35d"> 23</a></span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearmnn_onnx_parser.html#a503ae4f55dae1486e53978657083b35d">ModelPtr</a> = std::unique_ptr&lt;onnx::ModelProto&gt;;</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; </div>
<div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html"> 25</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html">OnnxParserImpl</a></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;{</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; </div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="keyword">using</span> OperationParsingFunction = void(<a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html">OnnxParserImpl</a>::*)(<span class="keyword">const</span> onnx::NodeProto&amp; NodeProto);</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; </div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; </div>
<div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#ac81510b21cb2b5719cce34474ad01675"> 32</a></span>&#160; <span class="keyword">using</span> <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#ac81510b21cb2b5719cce34474ad01675">GraphPtr</a> = std::unique_ptr&lt;onnx::GraphProto&gt;;</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="comment"> /// Create the network from a protobuf binary file on disk</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#aed935c554e4f6a4e7b9dcde057d00877">CreateNetworkFromBinaryFile</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* graphFile);</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="comment"> /// Create the network from a protobuf binary file on disk, with inputShapes specified</span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#aed935c554e4f6a4e7b9dcde057d00877">CreateNetworkFromBinaryFile</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* graphFile,</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keyword">const</span> std::map&lt;std::string, armnn::TensorShape&gt;&amp; inputShapes);</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="comment"> /// Create the network from a protobuf binary</span></div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a32a96909bc8a8ee9076bd4d5c1028301">CreateNetworkFromBinary</a>(<span class="keyword">const</span> std::vector&lt;uint8_t&gt;&amp; binaryContent);</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<span class="comment"> /// Create the network from a protobuf binary, with inputShapes specified</span></div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a32a96909bc8a8ee9076bd4d5c1028301">CreateNetworkFromBinary</a>(<span class="keyword">const</span> std::vector&lt;uint8_t&gt;&amp; binaryContent,</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keyword">const</span> std::map&lt;std::string, armnn::TensorShape&gt;&amp; inputShapes);</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;<span class="comment"> /// Create the network from a protobuf text file on disk</span></div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#aaf4ce461aa35597cf80954314a3cb0e1">CreateNetworkFromTextFile</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* graphFile);</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<span class="comment"> /// Create the network from a protobuf text file on disk, with inputShapes specified</span></div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#aaf4ce461aa35597cf80954314a3cb0e1">CreateNetworkFromTextFile</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* graphFile,</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keyword">const</span> std::map&lt;std::string, armnn::TensorShape&gt;&amp; inputShapes);</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;<span class="comment"> /// Create the network directly from protobuf text in a string. Useful for debugging/testing</span></div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a30c0c947bb15e86ee6d535ecd934c0a6">CreateNetworkFromString</a>(<span class="keyword">const</span> std::string&amp; protoText);</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;<span class="comment"> /// Create the network directly from protobuf text in a string, with inputShapes specified.</span></div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;<span class="comment"> /// Useful for debugging/testing</span></div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a30c0c947bb15e86ee6d535ecd934c0a6">CreateNetworkFromString</a>(<span class="keyword">const</span> std::string&amp; protoText,</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keyword">const</span> std::map&lt;std::string, armnn::TensorShape&gt;&amp; inputShapes);</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<span class="comment"> /// Retrieve binding info (layer id and tensor info) for the network input identified by the given layer name</span></div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn_onnx_parser.html#a9084adbf804022c874039ad40d1939e9">BindingPointInfo</a> <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a8b053a6c449d0814cc831c916c126668">GetNetworkInputBindingInfo</a>(<span class="keyword">const</span> std::string&amp; name) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;<span class="comment"> /// Retrieve binding info (layer id and tensor info) for the network output identified by the given layer name</span></div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn_onnx_parser.html#a9084adbf804022c874039ad40d1939e9">BindingPointInfo</a> <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a4b1fdcb1985af12dd1848a9ffa5d3271">GetNetworkOutputBindingInfo</a>(<span class="keyword">const</span> std::string&amp; name) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; </div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; </div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#ad131103003f2f4c6e4e3a7406192ad30">OnnxParserImpl</a>();</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a02c6251df76d47f18f24a734a8a2e2e8">~OnnxParserImpl</a>() = <span class="keywordflow">default</span>;</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; </div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keyword">static</span> <a class="code" href="namespacearmnn_onnx_parser.html#a503ae4f55dae1486e53978657083b35d">ModelPtr</a> <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a8e30b9dff215c314959ca3145e939338">LoadModelFromBinary</a>(<span class="keyword">const</span> std::vector&lt;uint8_t&gt;&amp; binaryContent);</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keyword">static</span> <a class="code" href="namespacearmnn_onnx_parser.html#a503ae4f55dae1486e53978657083b35d">ModelPtr</a> <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#acf9c6119ceb99755bc1f86c5a325c796">LoadModelFromBinaryFile</a>(<span class="keyword">const</span> <span class="keywordtype">char</span> * fileName);</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keyword">static</span> <a class="code" href="namespacearmnn_onnx_parser.html#a503ae4f55dae1486e53978657083b35d">ModelPtr</a> <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a975a79b9b35d51ea81c42c05d245e7c0">LoadModelFromTextFile</a>(<span class="keyword">const</span> <span class="keywordtype">char</span> * fileName);</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keyword">static</span> <a class="code" href="namespacearmnn_onnx_parser.html#a503ae4f55dae1486e53978657083b35d">ModelPtr</a> <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a181f87cf45fdc9f040a41c985ce7f8cd">LoadModelFromString</a>(<span class="keyword">const</span> std::string&amp; inputString);</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;<span class="comment"> /// Retrieve inputs names</span></div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;<span class="comment"></span> <span class="keyword">static</span> std::vector&lt;std::string&gt; <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a7cf8b801043e1eccd5e6db1325eaa4fe">GetInputs</a>(<a class="code" href="namespacearmnn_onnx_parser.html#a503ae4f55dae1486e53978657083b35d">ModelPtr</a>&amp; model);</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;<span class="comment"> /// Retrieve outputs names</span></div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;<span class="comment"></span> <span class="keyword">static</span> std::vector&lt;std::string&gt; <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#ad116319e33228bc23ec505887d3eee4d">GetOutputs</a>(<a class="code" href="namespacearmnn_onnx_parser.html#a503ae4f55dae1486e53978657083b35d">ModelPtr</a>&amp; model);</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;<span class="comment"> /// Retrieve version in X.Y.Z form</span></div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;<span class="comment"></span> <span class="keyword">static</span> <span class="keyword">const</span> std::string <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#aa09a8bb02eed50715082d8b7fccd2f8d">GetVersion</a>();</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; </div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;<span class="keyword">private</span>:</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;<span class="comment"> /// Parses a ModelProto loaded into memory from one of the other CreateNetwork*</span></div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromModel(onnx::ModelProto&amp; model);</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;<span class="comment"> /// Parse every node and make the connection between the resulting tensors</span></div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;<span class="comment"></span> <span class="keywordtype">void</span> LoadGraph();</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; </div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="keywordtype">void</span> SetupInfo(<span class="keyword">const</span> google::protobuf::RepeatedPtrField&lt;onnx::ValueInfoProto &gt;* list);</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; </div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; std::vector&lt;armnn::TensorInfo&gt; ComputeOutputInfo(</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; std::vector&lt;std::string&gt; outNames,</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; std::vector&lt;armnn::TensorShape&gt; inputShapes,</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">onnx::TensorProto::DataType</a>&amp; type = onnx::TensorProto::FLOAT);</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; </div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keywordtype">void</span> DetectFullyConnected();</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; </div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Location&gt;</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="keywordtype">void</span> GetInputAndParam(<span class="keyword">const</span> onnx::NodeProto&amp; node,</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; std::string* inputName,</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; std::string* constName,</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="keyword">const</span> Location&amp; location);</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; </div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Location&gt;</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="keywordtype">void</span> To1DTensor(<span class="keyword">const</span> std::string &amp;name, <span class="keyword">const</span> Location&amp; location);</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; </div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <span class="comment">//Broadcast Preparation functions</span></div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; std::pair&lt;std::string, std::string&gt; AddPrepareBroadcast(<span class="keyword">const</span> std::string&amp; input0, <span class="keyword">const</span> std::string&amp; input1);</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <span class="keywordtype">void</span> PrependForBroadcast(<span class="keyword">const</span> std::string&amp; outputName, <span class="keyword">const</span> std::string&amp; input0, <span class="keyword">const</span> std::string&amp; input1);</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; </div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="keywordtype">void</span> AddConvLayerWithDepthwiseConv(<span class="keyword">const</span> onnx::NodeProto&amp; node, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.html">armnn::Convolution2dDescriptor</a>&amp; convDesc);</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keywordtype">void</span> AddFullyConnected(<span class="keyword">const</span> onnx::NodeProto&amp; matmulNode, <span class="keyword">const</span> onnx::NodeProto* addNode = <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="keywordtype">void</span> AddPoolingLayer(<span class="keyword">const</span> onnx::NodeProto&amp; nodeProto, <a class="code" href="structarmnn_1_1_pooling2d_descriptor.html">armnn::Pooling2dDescriptor</a>&amp; desc);</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; </div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordtype">void</span> CreateConstantLayer(<span class="keyword">const</span> std::string&amp; tensorName, <span class="keyword">const</span> std::string&amp; layerName);</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="keywordtype">void</span> CreateInt64ConstantLayer(<span class="keyword">const</span> std::string&amp; tensorName, <span class="keyword">const</span> std::string&amp; layerName);</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <span class="keywordtype">void</span> CreateReshapeLayer(<span class="keyword">const</span> std::string&amp; inputName,</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="keyword">const</span> std::string&amp; outputName,</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keyword">const</span> std::string&amp; layerName);</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; </div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <span class="keywordtype">void</span> ParseActivation(<span class="keyword">const</span> onnx::NodeProto&amp; nodeProto, <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> func);</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <span class="keywordtype">void</span> ParseClip(<span class="keyword">const</span> onnx::NodeProto&amp; nodeProto);</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keywordtype">void</span> ParseSigmoid(<span class="keyword">const</span> onnx::NodeProto&amp; nodeProto);</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keywordtype">void</span> ParseTanh(<span class="keyword">const</span> onnx::NodeProto&amp; nodeProto);</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <span class="keywordtype">void</span> ParseRelu(<span class="keyword">const</span> onnx::NodeProto&amp; nodeProto);</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <span class="keywordtype">void</span> ParseLeakyRelu(<span class="keyword">const</span> onnx::NodeProto&amp; nodeProto);</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; </div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <span class="keywordtype">void</span> ParseAdd(<span class="keyword">const</span> onnx::NodeProto&amp; nodeProto);</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <span class="keywordtype">void</span> ParseAveragePool(<span class="keyword">const</span> onnx::NodeProto&amp; nodeProto);</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <span class="keywordtype">void</span> ParseBatchNormalization(<span class="keyword">const</span> onnx::NodeProto&amp; node);</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="keywordtype">void</span> ParseConcat(<span class="keyword">const</span> onnx::NodeProto&amp; nodeProto);</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="keywordtype">void</span> ParseConstant(<span class="keyword">const</span> onnx::NodeProto&amp; nodeProto);</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="keywordtype">void</span> ParseConv(<span class="keyword">const</span> onnx::NodeProto&amp; nodeProto);</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="keywordtype">void</span> ParseFlatten(<span class="keyword">const</span> onnx::NodeProto&amp; node);</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="keywordtype">void</span> ParseGather(<span class="keyword">const</span> onnx::NodeProto&amp; node);</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keywordtype">void</span> ParseGemm(<span class="keyword">const</span> onnx::NodeProto&amp; node);</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <span class="keywordtype">void</span> ParseGlobalAveragePool(<span class="keyword">const</span> onnx::NodeProto&amp; node);</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="keywordtype">void</span> ParseMaxPool(<span class="keyword">const</span> onnx::NodeProto&amp; nodeProto);</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="keywordtype">void</span> ParseShape(<span class="keyword">const</span> onnx::NodeProto&amp; node);</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keywordtype">void</span> ParseReshape(<span class="keyword">const</span> onnx::NodeProto&amp; nodeProto);</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <span class="keywordtype">void</span> ParseUnsqueeze(<span class="keyword">const</span> onnx::NodeProto&amp; nodeProto);</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; </div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <span class="keywordtype">void</span> RegisterInputSlot(<a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <span class="keyword">const</span> std::string&amp; tensorId,</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIndex);</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <span class="keywordtype">void</span> RegisterInputSlots(<a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; tensorIndexes);</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <span class="keywordtype">void</span> RegisterOutputSlots(<a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; tensorIndexes);</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; </div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <span class="keywordtype">void</span> SetupInputLayers();</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <span class="keywordtype">void</span> SetupOutputLayers();</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; </div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; <span class="keywordtype">void</span> ResetParser();</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <span class="keywordtype">void</span> Cleanup();</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; </div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; std::pair&lt;armnn::ConstTensor, std::unique_ptr&lt;float[]&gt;&gt;</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; CreateConstTensor(<span class="keyword">const</span> std::string name,</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">armnn::Optional&lt;armnn::PermutationVector&amp;&gt;</a> permutationVector = <a class="code" href="structarmnn_1_1_empty_optional.html">armnn::EmptyOptional</a>());</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; </div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; std::pair&lt;armnn::ConstTensor, std::unique_ptr&lt;int32_t[]&gt;&gt;</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; CreateInt64ConstTensor(<span class="keyword">const</span> std::string name,</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">armnn::Optional&lt;armnn::PermutationVector&amp;&gt;</a> permutationVector = <a class="code" href="structarmnn_1_1_empty_optional.html">armnn::EmptyOptional</a>());</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; </div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <span class="keyword">template</span> &lt;<span class="keyword">typename</span> TypeList, <span class="keyword">typename</span> Location&gt;</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <span class="keywordtype">void</span> ValidateInputs(<span class="keyword">const</span> onnx::NodeProto&amp; node,</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; TypeList validInputs,</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; <span class="keyword">const</span> Location&amp; location);</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160;<span class="comment"> /// The network we&#39;re building. Gets cleared after it is passed to the user</span></div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> m_Network;</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160;<span class="comment"> /// Ptr to the graph we&#39;re building the network from</span></div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160;<span class="comment"></span> <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#ac81510b21cb2b5719cce34474ad01675">GraphPtr</a> m_Graph;</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160;<span class="comment"> /// Map of the information for every tensor</span></div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160;<span class="comment"></span> <span class="keyword">struct </span>OnnxTensor</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; {</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; std::unique_ptr&lt;armnn::TensorInfo&gt; m_info;</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; std::unique_ptr&lt;const onnx::TensorProto&gt; m_tensor;</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">onnx::TensorProto::DataType</a> m_dtype;</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; </div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; OnnxTensor() : m_info(nullptr), m_tensor(nullptr), m_dtype(onnx::TensorProto::FLOAT) { }</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; <span class="keywordtype">bool</span> isConstant() { <span class="keywordflow">return</span> m_tensor != <span class="keyword">nullptr</span>; }</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; };</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; </div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; std::unordered_map&lt;std::string, OnnxTensor&gt; m_TensorsInfo;</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160;<span class="comment"> /// map of onnx operation names to parsing member functions</span></div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160;<span class="comment"></span> <span class="keyword">static</span> <span class="keyword">const</span> std::map&lt;std::string, OperationParsingFunction&gt; m_ParserFunctions;</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160;<span class="comment"> /// A mapping of an output slot to each of the input slots it should be connected to</span></div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160;<span class="comment"> /// The outputSlot is from the layer that creates this tensor as one of its outputs</span></div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160;<span class="comment"> /// The inputSlots are from the layers that use this tensor as one of their inputs</span></div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160;<span class="comment"></span> <span class="keyword">struct </span>TensorSlots</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; {</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <a class="code" href="classarmnn_1_1_i_output_slot.html">armnn::IOutputSlot</a>* outputSlot;</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; std::vector&lt;armnn::IInputSlot*&gt; inputSlots;</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; </div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; TensorSlots() : outputSlot(nullptr) { }</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; };<span class="comment"></span></div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160;<span class="comment"> /// Map of the tensor names to their connections for the connections of the layers of the graph</span></div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160;<span class="comment"></span> std::unordered_map&lt;std::string, TensorSlots&gt; m_TensorConnections;</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160;<span class="comment"> /// Map of the tensor names to their node and index in graph.node()</span></div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160;<span class="comment"></span> std::unordered_map&lt;std::string, std::pair&lt;const onnx::NodeProto*, int&gt;&gt; m_OutputsMap;</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160;<span class="comment"> /// Number of times a specific node (identified by its index number) was used as input</span></div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160;<span class="comment"> /// and list of the nodes it was fused with</span></div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160;<span class="comment"></span> <span class="keyword">struct </span>UsageSummary</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; {</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; std::vector&lt;size_t&gt; fusedWithNodes;</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; <span class="keywordtype">size_t</span> inputForNodes;</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; </div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; UsageSummary() : fusedWithNodes({}), inputForNodes(0) { }</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; </div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; };</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; </div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; std::vector&lt;UsageSummary&gt; m_OutputsFusedAndUsed;</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; </div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; std::map&lt;std::string, armnn::TensorShape&gt; m_InputShapes;</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; </div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; std::unordered_map&lt;std::string, armnn::TensorInfo&gt; m_InputInfos;</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; </div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; std::unordered_map&lt;std::string, armnn::TensorInfo&gt; m_OutputInfos;</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; </div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;};</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160;}</div>
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<div class="ttc" id="anamespacearmnn_html_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a></div><div class="ttdeci">std::unique_ptr&lt; INetwork, void(*)(INetwork *network)&gt; INetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00339">INetwork.hpp:339</a></div></div>
<div class="ttc" id="aclassarmnn_onnx_parser_1_1_onnx_parser_impl_html_ad116319e33228bc23ec505887d3eee4d"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#ad116319e33228bc23ec505887d3eee4d">armnnOnnxParser::OnnxParserImpl::GetOutputs</a></div><div class="ttdeci">static std::vector&lt; std::string &gt; GetOutputs(ModelPtr &amp;model)</div><div class="ttdoc">Retrieve outputs names.</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8cpp_source.html#l02685">OnnxParser.cpp:2685</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optional_html"><div class="ttname"><a href="classarmnn_1_1_optional.html">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00270">Optional.hpp:270</a></div></div>
<div class="ttc" id="anamespacearmnn_onnx_parser_html"><div class="ttname"><a href="namespacearmnn_onnx_parser.html">armnnOnnxParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_onnx_parser_8hpp_source.html#l00014">IOnnxParser.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_onnx_parser_1_1_onnx_parser_impl_html_a8b053a6c449d0814cc831c916c126668"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a8b053a6c449d0814cc831c916c126668">armnnOnnxParser::OnnxParserImpl::GetNetworkInputBindingInfo</a></div><div class="ttdeci">BindingPointInfo GetNetworkInputBindingInfo(const std::string &amp;name) const</div><div class="ttdoc">Retrieve binding info (layer id and tensor info) for the network input identified by the given layer ...</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8cpp_source.html#l02623">OnnxParser.cpp:2623</a></div></div>
<div class="ttc" id="aclassarmnn_onnx_parser_1_1_onnx_parser_impl_html_acf9c6119ceb99755bc1f86c5a325c796"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#acf9c6119ceb99755bc1f86c5a325c796">armnnOnnxParser::OnnxParserImpl::LoadModelFromBinaryFile</a></div><div class="ttdeci">static ModelPtr LoadModelFromBinaryFile(const char *fileName)</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8cpp_source.html#l00811">OnnxParser.cpp:811</a></div></div>
<div class="ttc" id="aclassarmnn_onnx_parser_1_1_onnx_parser_impl_html_a4b1fdcb1985af12dd1848a9ffa5d3271"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a4b1fdcb1985af12dd1848a9ffa5d3271">armnnOnnxParser::OnnxParserImpl::GetNetworkOutputBindingInfo</a></div><div class="ttdeci">BindingPointInfo GetNetworkOutputBindingInfo(const std::string &amp;name) const</div><div class="ttdoc">Retrieve binding info (layer id and tensor info) for the network output identified by the given layer...</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8cpp_source.html#l02642">OnnxParser.cpp:2642</a></div></div>
<div class="ttc" id="aclassarmnn_onnx_parser_1_1_onnx_parser_impl_html_a32a96909bc8a8ee9076bd4d5c1028301"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a32a96909bc8a8ee9076bd4d5c1028301">armnnOnnxParser::OnnxParserImpl::CreateNetworkFromBinary</a></div><div class="ttdeci">armnn::INetworkPtr CreateNetworkFromBinary(const std::vector&lt; uint8_t &gt; &amp;binaryContent)</div><div class="ttdoc">Create the network from a protobuf binary.</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8cpp_source.html#l00773">OnnxParser.cpp:773</a></div></div>
<div class="ttc" id="aclassarmnn_onnx_parser_1_1_onnx_parser_impl_html"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html">armnnOnnxParser::OnnxParserImpl</a></div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8hpp_source.html#l00025">OnnxParser.hpp:25</a></div></div>
<div class="ttc" id="aclassarmnn_onnx_parser_1_1_onnx_parser_impl_html_a30c0c947bb15e86ee6d535ecd934c0a6"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a30c0c947bb15e86ee6d535ecd934c0a6">armnnOnnxParser::OnnxParserImpl::CreateNetworkFromString</a></div><div class="ttdeci">armnn::INetworkPtr CreateNetworkFromString(const std::string &amp;protoText)</div><div class="ttdoc">Create the network directly from protobuf text in a string. Useful for debugging/testing.</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8cpp_source.html#l00874">OnnxParser.cpp:874</a></div></div>
<div class="ttc" id="anamespacearmnn_onnx_parser_html_a503ae4f55dae1486e53978657083b35d"><div class="ttname"><a href="namespacearmnn_onnx_parser.html#a503ae4f55dae1486e53978657083b35d">armnnOnnxParser::ModelPtr</a></div><div class="ttdeci">std::unique_ptr&lt; onnx::ModelProto &gt; ModelPtr</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8hpp_source.html#l00023">OnnxParser.hpp:23</a></div></div>
<div class="ttc" id="aclassarmnn_onnx_parser_1_1_onnx_parser_impl_html_ad131103003f2f4c6e4e3a7406192ad30"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#ad131103003f2f4c6e4e3a7406192ad30">armnnOnnxParser::OnnxParserImpl::OnnxParserImpl</a></div><div class="ttdeci">OnnxParserImpl()</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8cpp_source.html#l00578">OnnxParser.cpp:578</a></div></div>
<div class="ttc" id="aclassarmnn_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.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00053">INetwork.hpp:53</a></div></div>
<div class="ttc" id="aclassarmnn_onnx_parser_1_1_onnx_parser_impl_html_a02c6251df76d47f18f24a734a8a2e2e8"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a02c6251df76d47f18f24a734a8a2e2e8">armnnOnnxParser::OnnxParserImpl::~OnnxParserImpl</a></div><div class="ttdeci">~OnnxParserImpl()=default</div></div>
<div class="ttc" id="a_i_onnx_parser_8hpp_html"><div class="ttname"><a href="_i_onnx_parser_8hpp.html">IOnnxParser.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_onnx_parser_1_1_onnx_parser_impl_html_aed935c554e4f6a4e7b9dcde057d00877"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#aed935c554e4f6a4e7b9dcde057d00877">armnnOnnxParser::OnnxParserImpl::CreateNetworkFromBinaryFile</a></div><div class="ttdeci">armnn::INetworkPtr CreateNetworkFromBinaryFile(const char *graphFile)</div><div class="ttdoc">Create the network from a protobuf binary file on disk.</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8cpp_source.html#l00839">OnnxParser.cpp:839</a></div></div>
<div class="ttc" id="astructarmnn_1_1_empty_optional_html"><div class="ttname"><a href="structarmnn_1_1_empty_optional.html">armnn::EmptyOptional</a></div><div class="ttdoc">EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00032">Optional.hpp:32</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00048">Types.hpp:48</a></div></div>
<div class="ttc" id="aclassarmnn_onnx_parser_1_1_onnx_parser_impl_html_a8e30b9dff215c314959ca3145e939338"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a8e30b9dff215c314959ca3145e939338">armnnOnnxParser::OnnxParserImpl::LoadModelFromBinary</a></div><div class="ttdeci">static ModelPtr LoadModelFromBinary(const std::vector&lt; uint8_t &gt; &amp;binaryContent)</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8cpp_source.html#l00789">OnnxParser.cpp:789</a></div></div>
<div class="ttc" id="aclassarmnn_onnx_parser_1_1_onnx_parser_impl_html_a181f87cf45fdc9f040a41c985ce7f8cd"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a181f87cf45fdc9f040a41c985ce7f8cd">armnnOnnxParser::OnnxParserImpl::LoadModelFromString</a></div><div class="ttdeci">static ModelPtr LoadModelFromString(const std::string &amp;inputString)</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8cpp_source.html#l00855">OnnxParser.cpp:855</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9ea"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a></div><div class="ttdeci">ActivationFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00086">Types.hpp:86</a></div></div>
<div class="ttc" id="aclassarmnn_onnx_parser_1_1_onnx_parser_impl_html_aa09a8bb02eed50715082d8b7fccd2f8d"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#aa09a8bb02eed50715082d8b7fccd2f8d">armnnOnnxParser::OnnxParserImpl::GetVersion</a></div><div class="ttdeci">static const std::string GetVersion()</div><div class="ttdoc">Retrieve version in X.Y.Z form.</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8cpp_source.html#l02700">OnnxParser.cpp:2700</a></div></div>
<div class="ttc" id="astructarmnn_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#l00534">Descriptors.hpp:534</a></div></div>
<div class="ttc" id="aclassarmnn_onnx_parser_1_1_onnx_parser_impl_html_ac81510b21cb2b5719cce34474ad01675"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#ac81510b21cb2b5719cce34474ad01675">armnnOnnxParser::OnnxParserImpl::GraphPtr</a></div><div class="ttdeci">std::unique_ptr&lt; onnx::GraphProto &gt; GraphPtr</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8hpp_source.html#l00032">OnnxParser.hpp:32</a></div></div>
<div class="ttc" id="anamespacearmnn_onnx_parser_html_a9084adbf804022c874039ad40d1939e9"><div class="ttname"><a href="namespacearmnn_onnx_parser.html#a9084adbf804022c874039ad40d1939e9">armnnOnnxParser::BindingPointInfo</a></div><div class="ttdeci">armnn::BindingPointInfo BindingPointInfo</div><div class="ttdef"><b>Definition:</b> <a href="_i_onnx_parser_8hpp_source.html#l00017">IOnnxParser.hpp:17</a></div></div>
<div class="ttc" id="aclassarmnn_onnx_parser_1_1_onnx_parser_impl_html_aaf4ce461aa35597cf80954314a3cb0e1"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#aaf4ce461aa35597cf80954314a3cb0e1">armnnOnnxParser::OnnxParserImpl::CreateNetworkFromTextFile</a></div><div class="ttdeci">armnn::INetworkPtr CreateNetworkFromTextFile(const char *graphFile)</div><div class="ttdoc">Create the network from a protobuf text file on disk.</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8cpp_source.html#l00757">OnnxParser.cpp:757</a></div></div>
<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00080">INetwork.hpp:80</a></div></div>
<div class="ttc" id="aclassarmnn_onnx_parser_1_1_onnx_parser_impl_html_a7cf8b801043e1eccd5e6db1325eaa4fe"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a7cf8b801043e1eccd5e6db1325eaa4fe">armnnOnnxParser::OnnxParserImpl::GetInputs</a></div><div class="ttdeci">static std::vector&lt; std::string &gt; GetInputs(ModelPtr &amp;model)</div><div class="ttdoc">Retrieve inputs names.</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8cpp_source.html#l02661">OnnxParser.cpp:2661</a></div></div>
<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00371">Descriptors.hpp:371</a></div></div>
<div class="ttc" id="aclassarmnn_onnx_parser_1_1_onnx_parser_impl_html_a975a79b9b35d51ea81c42c05d245e7c0"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.html#a975a79b9b35d51ea81c42c05d245e7c0">armnnOnnxParser::OnnxParserImpl::LoadModelFromTextFile</a></div><div class="ttdeci">static ModelPtr LoadModelFromTextFile(const char *fileName)</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8cpp_source.html#l00732">OnnxParser.cpp:732</a></div></div>
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