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| <div class="title">TfLiteParser.hpp</div> </div> |
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| <a href="_tf_lite_parser_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div> |
| <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017-2024 Arm Ltd and Contributors. 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>  </div> |
| <div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include <<a class="code" href="_descriptors_8hpp.html">armnn/Descriptors.hpp</a>></span></div> |
| <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_i_network_8hpp.html">armnn/INetwork.hpp</a>"</span></div> |
| <div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_i_tf_lite_parser_8hpp.html">armnnTfLiteParser/ITfLiteParser.hpp</a>"</span></div> |
| <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include "<a class="code" href="_types_8hpp.html">armnn/Types.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 <schema_generated.h></span></div> |
| <div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <functional></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> <span class="preprocessor">#include <vector></span></div> |
| <div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  </div> |
| <div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <tensorflow/lite/version.h></span></div> |
| <div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  </div> |
| <div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#if TF_MAJOR_VERSION > 2 || (TF_MAJOR_VERSION == 2 && TF_MINOR_VERSION > 3)</span></div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#define ARMNN_POST_TFLITE_2_3</span></div> |
| <div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#endif</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_tf_lite_parser.html">armnnTfLiteParser</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_tf_lite_parser_1_1_tf_lite_parser_impl.html"> 26</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html">TfLiteParserImpl</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>  <span class="comment">// Shorthands for TfLite types</span></div> |
| <div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#abfc86471394295357a23b3addd0b5b1c"> 30</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a> = std::unique_ptr<tflite::ModelT>;</div> |
| <div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a988cb5e216eb87d854414c6a0282eeb4"> 31</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a988cb5e216eb87d854414c6a0282eeb4">SubgraphPtr</a> = std::unique_ptr<tflite::SubGraphT>;</div> |
| <div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#aadad81a95152fe5aad839db352d4012c"> 32</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#aadad81a95152fe5aad839db352d4012c">OperatorPtr</a> = std::unique_ptr<tflite::OperatorT>;</div> |
| <div class="line"><a name="l00033"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ab80edc19da7460a95a0ac05902f244b7"> 33</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ab80edc19da7460a95a0ac05902f244b7">OperatorCodePtr</a> = std::unique_ptr<tflite::OperatorCodeT>;</div> |
| <div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a4ab952e29d01028931f75f997ad7cbd4"> 34</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a4ab952e29d01028931f75f997ad7cbd4">TensorPtr</a> = std::unique_ptr<tflite::TensorT>;</div> |
| <div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ac3486e6c1a291aa67efd8b280ffb83cc"> 35</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ac3486e6c1a291aa67efd8b280ffb83cc">TensorRawPtr</a> = <span class="keyword">const</span> tflite::TensorT *;</div> |
| <div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#abd8bee7fb9b86485a60bc7ee05114270"> 36</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#abd8bee7fb9b86485a60bc7ee05114270">TensorRawPtrVector</a> = std::vector<TensorRawPtr>;</div> |
| <div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a7553cea300edaeb5722990f99f042ef0"> 37</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a7553cea300edaeb5722990f99f042ef0">TensorIdRawPtr</a> = std::pair<size_t, TensorRawPtr>;</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a86428e0c674542488c7292dfbe2ce381"> 38</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a86428e0c674542488c7292dfbe2ce381">TensorIdRawPtrVector</a> = std::vector<TensorIdRawPtr>;</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ab93d9fb8a272789623edfa0b214c40f9"> 39</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ab93d9fb8a272789623edfa0b214c40f9">BufferPtr</a> = std::unique_ptr<tflite::BufferT>;</div> |
| <div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#aaafbda6e6816876b3d7963cfe64dd2f8"> 40</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#aaafbda6e6816876b3d7963cfe64dd2f8">BufferRawPtr</a> = <span class="keyword">const</span> tflite::BufferT *;</div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  </div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">public</span>:<span class="comment"></span></div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment"> /// Create the network from a flatbuffers binary file on disk</span></div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"></span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#aed935c554e4f6a4e7b9dcde057d00877">CreateNetworkFromBinaryFile</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* graphFile);</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"> /// Create the network from a flatbuffers binary</span></div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment"></span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a32a96909bc8a8ee9076bd4d5c1028301">CreateNetworkFromBinary</a>(<span class="keyword">const</span> std::vector<uint8_t> & binaryContent);</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  </div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> /// Retrieve binding info (layer id and tensor info) for the network input identified by</span></div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"> /// the given layer name and subgraph id</span></div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"></span> <a class="code" href="namespacearmnn_tf_lite_parser.html#a9084adbf804022c874039ad40d1939e9">BindingPointInfo</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a913d452e7766210b59a69d3c658b2862">GetNetworkInputBindingInfo</a>(<span class="keywordtype">size_t</span> subgraphId,</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">const</span> std::string& name) <span class="keyword">const</span>;</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> /// Retrieve binding info (layer id and tensor info) for the network output identified by</span></div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> /// the given layer name and subgraph id</span></div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"></span> <a class="code" href="namespacearmnn_tf_lite_parser.html#a9084adbf804022c874039ad40d1939e9">BindingPointInfo</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a59139faede3a07a43c4c8f86bb03dc43">GetNetworkOutputBindingInfo</a>(<span class="keywordtype">size_t</span> subgraphId,</div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">const</span> std::string& name) <span class="keyword">const</span>;</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"> /// Return the number of subgraphs in the parsed model</span></div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment"></span> <span class="keywordtype">size_t</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a1b7aed8466cc5792966d271a65285d0e">GetSubgraphCount</a>() <span class="keyword">const</span>;</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="comment"> /// Return the input tensor names for a given subgraph</span></div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment"></span> std::vector<std::string> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#afe1ea028d8fcb9942c204d4415ff3319">GetSubgraphInputTensorNames</a>(<span class="keywordtype">size_t</span> subgraphId) <span class="keyword">const</span>;</div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="comment"> /// Return the output tensor names for a given subgraph</span></div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment"></span> std::vector<std::string> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a949070abe70fabe18cc1eb29d5853f47">GetSubgraphOutputTensorNames</a>(<span class="keywordtype">size_t</span> subgraphId) <span class="keyword">const</span>;</div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  </div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ad9199a42f5fae611db182fb4c31a11df">TfLiteParserImpl</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">armnn::Optional<ITfLiteParser::TfLiteParserOptions></a>& options = <a class="code" href="structarmnn_1_1_empty_optional.html">armnn::EmptyOptional</a>());</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#aaccd84a6cf2f9bdd77f833e4b65ffd42">~TfLiteParserImpl</a>() = <span class="keywordflow">default</span>;</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  </div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="comment">// testable helpers</span></div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ac8abb48132e89e5273ca888ca884e305">CreateNetworkFromBinaryAsDynamic</a>(<span class="keyword">const</span> std::vector<uint8_t>& binaryContent);</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  </div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a0da1e3b0281fa84f8b6f5ce3cd15b7c0">LoadModel</a>(std::unique_ptr<tflite::ModelT> model);</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  </div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#af9590c2ae8d68b5da999d3d6ab21dd3b">LoadModelFromFile</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* fileName);</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a7f3fc56b7306b444f06f45cdc4032bbf">LoadModelFromBinary</a>(<span class="keyword">const</span> uint8_t* binaryContent, <span class="keywordtype">size_t</span> len);</div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#abd8bee7fb9b86485a60bc7ee05114270">TensorRawPtrVector</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a342a58ab95b91af13b24dd4bdc7e09bb">GetInputs</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a>& model, <span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#abd8bee7fb9b86485a60bc7ee05114270">TensorRawPtrVector</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a279d0891900c191d5a0139e5c11fe488">GetOutputs</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a>& model, <span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a86428e0c674542488c7292dfbe2ce381">TensorIdRawPtrVector</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a20518e431cb501b172371b850e6c3ec7">GetSubgraphInputs</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a>& model, <span class="keywordtype">size_t</span> subgraphIndex);</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a86428e0c674542488c7292dfbe2ce381">TensorIdRawPtrVector</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a1bd7b663eb19e2355b6aa5c36232d6fc">GetSubgraphOutputs</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a>& model, <span class="keywordtype">size_t</span> subgraphIndex);</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keyword">static</span> std::vector<int32_t>& <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a8b4b0b88a5e79a88b8b60db76398f575">GetInputTensorIds</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a>& model, <span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keyword">static</span> std::vector<int32_t>& <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#afe6c475f92d02dd1eb12acd746e4736f">GetOutputTensorIds</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a>& model, <span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  </div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#aaafbda6e6816876b3d7963cfe64dd2f8">BufferRawPtr</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a720f0206e377dd1808acc94b3b12c538">GetBuffer</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a>& model, <span class="keywordtype">size_t</span> bufferIndex);</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a7d28f3a07c7ab30f66e7c70ded86eb49">OutputShapeOfSqueeze</a>(std::vector<uint32_t> squeezeDims,</div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>& inputTensorInfo);</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#aaebfa9a01a0bb8a0935114ff0140cc45">OutputShapeOfReshape</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>& inputTensorInfo,</div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keyword">const</span> std::vector<int32_t>& targetDimsIn);</div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="comment"> /// Retrieve version in X.Y.Z form</span></div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="comment"></span> <span class="keyword">static</span> <span class="keyword">const</span> std::string <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#aa09a8bb02eed50715082d8b7fccd2f8d">GetVersion</a>();</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  </div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="keyword">private</span>:</div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  </div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// No copying allowed until it is wanted and properly implemented</span></div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ad9199a42f5fae611db182fb4c31a11df">TfLiteParserImpl</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html">TfLiteParserImpl</a> &) = <span class="keyword">delete</span>;</div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html">TfLiteParserImpl</a> & operator=(<span class="keyword">const</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html">TfLiteParserImpl</a> &) = <span class="keyword">delete</span>;</div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="comment"> /// Create the network from an already loaded flatbuffers model</span></div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="comment"></span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromModel();</div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  </div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="comment">// signature for the parser functions</span></div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keyword">using</span> OperatorParsingFunction = void(<a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html">TfLiteParserImpl</a>::*)(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  </div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordtype">void</span> ParseCustomOperator(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordtype">void</span> ParseUnsupportedOperator(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  </div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordtype">void</span> ParseAbs(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordtype">void</span> ParseActivation(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex, <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> activationType);</div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordtype">void</span> ParseAdd(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordtype">void</span> ParseArgMinMax(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex, <a class="code" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeae">armnn::ArgMinMaxFunction</a> argMinMaxFunction);</div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordtype">void</span> ParseArgMin(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordtype">void</span> ParseArgMax(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordtype">void</span> ParseAveragePool2D(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordtype">void</span> ParseBatchMatMul(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordtype">void</span> ParseBatchToSpaceND(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordtype">void</span> ParseBroadcastTo(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordtype">void</span> ParseCast(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordtype">void</span> ParseCeil(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordtype">void</span> ParseComparison(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex, <a class="code" href="namespacearmnn.html#a2d299363c9fc33334c571fa29ca4f58c">armnn::ComparisonOperation</a> comparisonOperation);</div> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordtype">void</span> ParseConcatenation(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordtype">void</span> ParseConv2D(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="comment">// Conv3D support was added in TF 2.5, so for backwards compatibility a hash define is needed.</span></div> |
| <div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="preprocessor"> #if defined(ARMNN_POST_TFLITE_2_4)</span></div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordtype">void</span> ParseConv3D(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="preprocessor"> #endif</span></div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordtype">void</span> ParseDepthToSpace(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordtype">void</span> ParseDepthwiseConv2D(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordtype">void</span> ParseDequantize(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordtype">void</span> ParseDetectionPostProcess(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordtype">void</span> ParseDiv(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordtype">void</span> ParseElementwiseUnary(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex, <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8">armnn::UnaryOperation</a> unaryOperation);</div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordtype">void</span> ParseElu(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordtype">void</span> ParseEqual(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordtype">void</span> ParseExp(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordtype">void</span> ParseExpandDims(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordtype">void</span> ParseFloorDiv(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordtype">void</span> ParseFullyConnected(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordtype">void</span> ParseGather(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordtype">void</span> ParseGatherNd(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordtype">void</span> ParseGelu(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordtype">void</span> ParseGreater(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordtype">void</span> ParseGreaterOrEqual(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordtype">void</span> ParseHardSwish(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordtype">void</span> ParseLeakyRelu(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordtype">void</span> ParseLess(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordtype">void</span> ParseLessOrEqual(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordtype">void</span> ParseLog(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordtype">void</span> ParseLocalResponseNormalization(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordtype">void</span> ParseLogicalNot(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordtype">void</span> ParseLogistic(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordtype">void</span> ParseLogSoftmax(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordtype">void</span> ParseL2Normalization(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordtype">void</span> ParseMaxPool2D(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordtype">void</span> ParseMaximum(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordtype">void</span> ParseMean(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordtype">void</span> ParseMinimum(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordtype">void</span> ParseMirrorPad(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordtype">void</span> ParseMul(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keywordtype">void</span> ParseNeg(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordtype">void</span> ParseNotEqual(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keywordtype">void</span> ParsePack(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordtype">void</span> ParsePad(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordtype">void</span> ParsePool(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex, <a class="code" href="namespacearmnn.html#a961bbfe1db71a848eff5a1f0ab775718">armnn::PoolingAlgorithm</a> algorithm);</div> |
| <div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordtype">void</span> ParsePower(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordtype">void</span> ParsePrelu(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordtype">void</span> ParseQuantize(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordtype">void</span> ParseReduce(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex, <a class="code" href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0">armnn::ReduceOperation</a> reduceOperation);</div> |
| <div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordtype">void</span> ParseReduceMax(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordtype">void</span> ParseReduceMin(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordtype">void</span> ParseReduceProd(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordtype">void</span> ParseRelu(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordtype">void</span> ParseRelu6(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordtype">void</span> ParseReshape(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordtype">void</span> ParseResize(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex, <a class="code" href="namespacearmnn.html#a9a2af2f8c4af4f9efa8e79417d505ac4">armnn::ResizeMethod</a> resizeMethod);</div> |
| <div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keywordtype">void</span> ParseResizeBilinear(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keywordtype">void</span> ParseResizeNearestNeighbor(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordtype">void</span> ParseReverseV2(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordtype">void</span> ParseRsqrt(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keywordtype">void</span> ParseScatterNd(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordtype">void</span> ParseShape(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordtype">void</span> ParseSin(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordtype">void</span> ParseSlice(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordtype">void</span> ParseSoftmax(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordtype">void</span> ParseSqrt(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordtype">void</span> ParseSpaceToBatchND(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordtype">void</span> ParseSpaceToDepth(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordtype">void</span> ParseSplit(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordtype">void</span> ParseSplitV(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordtype">void</span> ParseSqueeze(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keywordtype">void</span> ParseSquare(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordtype">void</span> ParseSquaredDifference(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordtype">void</span> ParseStridedSlice(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordtype">void</span> ParseSub(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordtype">void</span> ParseSum(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordtype">void</span> ParseTanH(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordtype">void</span> ParseTile(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordtype">void</span> ParseTranspose(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordtype">void</span> ParseTransposeConv(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordtype">void</span> ParseUnidirectionalSequenceLSTM(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keywordtype">void</span> ParseUnpack(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div> |
| <div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  </div> |
| <div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keywordtype">void</span> RegisterProducerOfTensor(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> tensorIndex, <a class="code" href="classarmnn_1_1_i_output_slot.html">armnn::IOutputSlot</a>* slot);</div> |
| <div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordtype">void</span> RegisterConsumerOfTensor(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> tensorIndex, <a class="code" href="classarmnn_1_1_i_input_slot.html">armnn::IInputSlot</a>* slot);</div> |
| <div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keywordtype">void</span> RegisterInputSlots(<span class="keywordtype">size_t</span> subgraphIndex,</div> |
| <div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keywordtype">size_t</span> operatorIndex,</div> |
| <div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">const</span> std::vector<unsigned int>& tensorIndexes,</div> |
| <div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> startingSlotIndex = 0);</div> |
| <div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordtype">void</span> RegisterOutputSlots(<span class="keywordtype">size_t</span> subgraphIndex,</div> |
| <div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keywordtype">size_t</span> operatorIndex,</div> |
| <div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keyword">const</span> std::vector<unsigned int>& tensorIndexes);</div> |
| <div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  </div> |
| <div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordtype">void</span> SetupInputLayerTensorInfos(<span class="keywordtype">size_t</span> subgraphIndex);</div> |
| <div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keywordtype">void</span> SetupConstantLayerTensorInfos(<span class="keywordtype">size_t</span> subgraphIndex);</div> |
| <div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  </div> |
| <div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordtype">void</span> SetupInputLayers(<span class="keywordtype">size_t</span> subgraphIndex);</div> |
| <div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordtype">void</span> SetupOutputLayers(<span class="keywordtype">size_t</span> subgraphIndex);</div> |
| <div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordtype">void</span> SetupConstantLayers(<span class="keywordtype">size_t</span> subgraphIndex);</div> |
| <div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  </div> |
| <div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordtype">void</span> ResetParser();</div> |
| <div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  </div> |
| <div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordtype">void</span> AddBroadcastReshapeLayer(<span class="keywordtype">size_t</span> subgraphIndex,</div> |
| <div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordtype">size_t</span> operatorIndex,</div> |
| <div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer);</div> |
| <div class="line"><a name="l00230"></a><span class="lineno"> 230</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00231"></a><span class="lineno"> 231</span> <span class="comment"> /// Attach an reshape layer to the one passed as a parameter</span></div> |
| <div class="line"><a name="l00232"></a><span class="lineno"> 232</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* AddReshapeLayer(<a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputSlot,</div> |
| <div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  std::string reshapeLayerName,</div> |
| <div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputShape);</div> |
| <div class="line"><a name="l00236"></a><span class="lineno"> 236</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00237"></a><span class="lineno"> 237</span> <span class="comment"> /// Attach an activation layer to the one passed as a parameter</span></div> |
| <div class="line"><a name="l00238"></a><span class="lineno"> 238</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* AddFusedActivationLayer(<a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputSlot,</div> |
| <div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  tflite::ActivationFunctionType activationType);</div> |
| <div class="line"><a name="l00241"></a><span class="lineno"> 241</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00242"></a><span class="lineno"> 242</span> <span class="comment"> /// Attach a floor layer to the one passed as a parameter</span></div> |
| <div class="line"><a name="l00243"></a><span class="lineno"> 243</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* AddFusedFloorLayer(<a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputSlot);</div> |
| <div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  </div> |
| <div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="comment">// SupportedDataStorage's purpose is to hold data till we pass over to the network.</span></div> |
| <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="comment">// We don't care about the content, and we want a single datatype to simplify the code.</span></div> |
| <div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keyword">struct </span>SupportedDataStorage</div> |
| <div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  {</div> |
| <div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="comment">// Convenience constructors</span></div> |
| <div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  SupportedDataStorage(std::unique_ptr<<span class="keywordtype">float</span>[]>&& data);</div> |
| <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  SupportedDataStorage(std::unique_ptr<uint8_t[]>&& data);</div> |
| <div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  SupportedDataStorage(std::unique_ptr<int8_t[]>&& data);</div> |
| <div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  SupportedDataStorage(std::unique_ptr<int32_t[]>&& data);</div> |
| <div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  </div> |
| <div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keyword">private</span>:</div> |
| <div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="comment">// Pointers to the data buffers</span></div> |
| <div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  std::unique_ptr<float[]> m_FloatData;</div> |
| <div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  std::unique_ptr<uint8_t[]> m_Uint8Data;</div> |
| <div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  std::unique_ptr<int8_t[]> m_Int8Data;</div> |
| <div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  std::unique_ptr<int32_t[]> m_Int32Data;</div> |
| <div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  };</div> |
| <div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  </div> |
| <div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordtype">bool</span> ShouldConstantTensorBeCreated(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> tensorIndex);</div> |
| <div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  </div> |
| <div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordtype">bool</span> IsConstTensor(<a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ac3486e6c1a291aa67efd8b280ffb83cc">TensorRawPtr</a> tensorPtr);</div> |
| <div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  </div> |
| <div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keywordtype">bool</span> ShouldConstantTensorBeConverted(<a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ac3486e6c1a291aa67efd8b280ffb83cc">TfLiteParserImpl::TensorRawPtr</a> tensorPtr,</div> |
| <div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> inputDataType,</div> |
| <div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> filterDataType);</div> |
| <div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  </div> |
| <div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <a class="code" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a> CreateConstTensorNonPermuted(<a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ac3486e6c1a291aa67efd8b280ffb83cc">TensorRawPtr</a> tensorPtr,</div> |
| <div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>& tensorInfo);</div> |
| <div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  </div> |
| <div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  std::pair<armnn::ConstTensor, SupportedDataStorage></div> |
| <div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  CreateConstTensorPermuted(<a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ac3486e6c1a291aa67efd8b280ffb83cc">TensorRawPtr</a> tensorPtr,</div> |
| <div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>& tensorInfo,</div> |
| <div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <a class="code" href="classarmnn_1_1_optional.html">armnn::Optional<armnn::PermutationVector&></a> permutationVector);</div> |
| <div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  </div> |
| <div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  std::pair<armnn::ConstTensor, std::unique_ptr<float[]>></div> |
| <div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  CreateConstTensorNonPermuted(<a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ac3486e6c1a291aa67efd8b280ffb83cc">TensorRawPtr</a> tensorPtr,</div> |
| <div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>& tensorInfo,</div> |
| <div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> inputDataType);</div> |
| <div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  </div> |
| <div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keyword">template</span><<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  std::pair<armnn::ConstTensor, TfLiteParserImpl::SupportedDataStorage></div> |
| <div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  CreateConstTensorAndStoreData(<a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#aaafbda6e6816876b3d7963cfe64dd2f8">TfLiteParserImpl::BufferRawPtr</a> bufferPtr,</div> |
| <div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ac3486e6c1a291aa67efd8b280ffb83cc">TfLiteParserImpl::TensorRawPtr</a> tensorPtr,</div> |
| <div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>& tensorInfo,</div> |
| <div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <a class="code" href="classarmnn_1_1_optional.html">armnn::Optional<armnn::PermutationVector&></a> permutationVector);</div> |
| <div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  </div> |
| <div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  std::pair<armnn::ConstTensor*, std::unique_ptr<float[]>></div> |
| <div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  CreateConstTensorPtr(<a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ac3486e6c1a291aa67efd8b280ffb83cc">TensorRawPtr</a> tensorPtr,</div> |
| <div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>& inputTensorInfo);</div> |
| <div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  </div> |
| <div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> InputTensorInfo(<span class="keywordtype">size_t</span> subgraphIndex,</div> |
| <div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keywordtype">size_t</span> operatorIndex,</div> |
| <div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keywordtype">int</span> input);</div> |
| <div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  </div> |
| <div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> OutputTensorInfoFromInputs(<span class="keywordtype">size_t</span> subgraphIndex,</div> |
| <div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordtype">size_t</span> operatorIndex,</div> |
| <div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordtype">int</span> output,</div> |
| <div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  std::vector<int> inputs);</div> |
| <div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  </div> |
| <div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> OutputTensorInfoFromShapes(<span class="keywordtype">size_t</span> subgraphIndex,</div> |
| <div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordtype">size_t</span> operatorIndex,</div> |
| <div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordtype">int</span> output = 0,</div> |
| <div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  std::vector<armnn::TensorShape> inputShapes = {});</div> |
| <div class="line"><a name="l00311"></a><span class="lineno"> 311</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00312"></a><span class="lineno"> 312</span> <span class="comment"> /// Settings for configuring the TfLiteParser</span></div> |
| <div class="line"><a name="l00313"></a><span class="lineno"> 313</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_optional.html">armnn::Optional<ITfLiteParser::TfLiteParserOptions></a> m_Options;</div> |
| <div class="line"><a name="l00314"></a><span class="lineno"> 314</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00315"></a><span class="lineno"> 315</span> <span class="comment"> /// The network we're building. Gets cleared after it is passed to the user</span></div> |
| <div class="line"><a name="l00316"></a><span class="lineno"> 316</span> <span class="comment"></span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> m_Network;</div> |
| <div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a> m_Model;</div> |
| <div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  </div> |
| <div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  std::vector<OperatorParsingFunction> m_ParserFunctions;</div> |
| <div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  std::unordered_map<std::string, OperatorParsingFunction> m_CustomParserFunctions;</div> |
| <div class="line"><a name="l00321"></a><span class="lineno"> 321</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00322"></a><span class="lineno"> 322</span> <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="l00323"></a><span class="lineno"> 323</span> <span class="comment"> /// The outputSlot is from the layer that creates this tensor as one of its ouputs</span></div> |
| <div class="line"><a name="l00324"></a><span class="lineno"> 324</span> <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="l00325"></a><span class="lineno"> 325</span> <span class="comment"></span> <span class="keyword">struct </span>TensorSlots</div> |
| <div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  {</div> |
| <div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <a class="code" href="classarmnn_1_1_i_output_slot.html">armnn::IOutputSlot</a>* outputSlot;</div> |
| <div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  std::vector<armnn::IInputSlot*> inputSlots;</div> |
| <div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  </div> |
| <div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  TensorSlots() : outputSlot(nullptr) { }</div> |
| <div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  };</div> |
| <div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keyword">typedef</span> std::vector<TensorSlots> TensorConnections;<span class="comment"></span></div> |
| <div class="line"><a name="l00333"></a><span class="lineno"> 333</span> <span class="comment"> /// Connections for tensors in each subgraph</span></div> |
| <div class="line"><a name="l00334"></a><span class="lineno"> 334</span> <span class="comment"> /// The first index is the subgraph ID, the second index is the tensor ID</span></div> |
| <div class="line"><a name="l00335"></a><span class="lineno"> 335</span> <span class="comment"></span> std::vector<TensorConnections> m_SubgraphConnections;</div> |
| <div class="line"><a name="l00336"></a><span class="lineno"> 336</span> <span class="comment"></span> </div> |
| <div class="line"><a name="l00337"></a><span class="lineno"> 337</span> <span class="comment"> /// This is used in case that the model does not specify the output.</span></div> |
| <div class="line"><a name="l00338"></a><span class="lineno"> 338</span> <span class="comment"> /// The shape can be calculated from the options.</span></div> |
| <div class="line"><a name="l00339"></a><span class="lineno"> 339</span> <span class="comment"></span> std::vector<std::vector<unsigned int>> m_OverriddenOutputShapes;</div> |
| <div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  </div> |
| <div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  std::vector<unsigned int> m_ConstantsToDequantize;</div> |
| <div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  std::vector<unsigned int> m_ConstantsToBeCreated;</div> |
| <div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  std::map<size_t, armnn::TensorInfo> m_TensorInfos;</div> |
| <div class="line"><a name="l00344"></a><span class="lineno"> 344</span> };</div> |
| <div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  </div> |
| <div class="line"><a name="l00346"></a><span class="lineno"> 346</span> }</div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <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< INetwork, void(*)(INetwork *network)> 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_tf_lite_parser_1_1_tf_lite_parser_impl_html_a342a58ab95b91af13b24dd4bdc7e09bb"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a342a58ab95b91af13b24dd4bdc7e09bb">armnnTfLiteParser::TfLiteParserImpl::GetInputs</a></div><div class="ttdeci">static TensorRawPtrVector GetInputs(const ModelPtr &model, size_t subgraphIndex, size_t operatorIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.html#l05451">TfLiteParser.cpp:5451</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_a279d0891900c191d5a0139e5c11fe488"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a279d0891900c191d5a0139e5c11fe488">armnnTfLiteParser::TfLiteParserImpl::GetOutputs</a></div><div class="ttdeci">static TensorRawPtrVector GetOutputs(const ModelPtr &model, size_t subgraphIndex, size_t operatorIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.html#l05478">TfLiteParser.cpp:5478</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_abd8bee7fb9b86485a60bc7ee05114270"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#abd8bee7fb9b86485a60bc7ee05114270">armnnTfLiteParser::TfLiteParserImpl::TensorRawPtrVector</a></div><div class="ttdeci">std::vector< TensorRawPtr > TensorRawPtrVector</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.html#l00036">TfLiteParser.hpp:36</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_ac3486e6c1a291aa67efd8b280ffb83cc"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ac3486e6c1a291aa67efd8b280ffb83cc">armnnTfLiteParser::TfLiteParserImpl::TensorRawPtr</a></div><div class="ttdeci">const tflite::TensorT * TensorRawPtr</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.html#l00035">TfLiteParser.hpp:35</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_aed935c554e4f6a4e7b9dcde057d00877"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#aed935c554e4f6a4e7b9dcde057d00877">armnnTfLiteParser::TfLiteParserImpl::CreateNetworkFromBinaryFile</a></div><div class="ttdeci">armnn::INetworkPtr CreateNetworkFromBinaryFile(const char *graphFile)</div><div class="ttdoc">Create the network from a flatbuffers binary file on disk.</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.html#l00957">TfLiteParser.cpp:957</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_html_a9a2af2f8c4af4f9efa8e79417d505ac4"><div class="ttname"><a href="namespacearmnn.html#a9a2af2f8c4af4f9efa8e79417d505ac4">armnn::ResizeMethod</a></div><div class="ttdeci">ResizeMethod</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00166">Types.hpp:166</a></div></div> |
| <div class="ttc" id="a_descriptors_8hpp_html"><div class="ttname"><a href="_descriptors_8hpp.html">Descriptors.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_a32a96909bc8a8ee9076bd4d5c1028301"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a32a96909bc8a8ee9076bd4d5c1028301">armnnTfLiteParser::TfLiteParserImpl::CreateNetworkFromBinary</a></div><div class="ttdeci">armnn::INetworkPtr CreateNetworkFromBinary(const std::vector< uint8_t > &binaryContent)</div><div class="ttdoc">Create the network from a flatbuffers binary.</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.html#l00964">TfLiteParser.cpp:964</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_a988cb5e216eb87d854414c6a0282eeb4"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a988cb5e216eb87d854414c6a0282eeb4">armnnTfLiteParser::TfLiteParserImpl::SubgraphPtr</a></div><div class="ttdeci">std::unique_ptr< tflite::SubGraphT > SubgraphPtr</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.html#l00031">TfLiteParser.hpp:31</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_a1bd7b663eb19e2355b6aa5c36232d6fc"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a1bd7b663eb19e2355b6aa5c36232d6fc">armnnTfLiteParser::TfLiteParserImpl::GetSubgraphOutputs</a></div><div class="ttdeci">static TensorIdRawPtrVector GetSubgraphOutputs(const ModelPtr &model, size_t subgraphIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.html#l05515">TfLiteParser.cpp:5515</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_afe1ea028d8fcb9942c204d4415ff3319"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#afe1ea028d8fcb9942c204d4415ff3319">armnnTfLiteParser::TfLiteParserImpl::GetSubgraphInputTensorNames</a></div><div class="ttdeci">std::vector< std::string > GetSubgraphInputTensorNames(size_t subgraphId) const</div><div class="ttdoc">Return the input tensor names for a given subgraph.</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.html#l06010">TfLiteParser.cpp:6010</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_afe6c475f92d02dd1eb12acd746e4736f"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#afe6c475f92d02dd1eb12acd746e4736f">armnnTfLiteParser::TfLiteParserImpl::GetOutputTensorIds</a></div><div class="ttdeci">static std::vector< int32_t > & GetOutputTensorIds(const ModelPtr &model, size_t subgraphIndex, size_t operatorIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.html#l05541">TfLiteParser.cpp:5541</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_a949070abe70fabe18cc1eb29d5853f47"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a949070abe70fabe18cc1eb29d5853f47">armnnTfLiteParser::TfLiteParserImpl::GetSubgraphOutputTensorNames</a></div><div class="ttdeci">std::vector< std::string > GetSubgraphOutputTensorNames(size_t subgraphId) const</div><div class="ttdoc">Return the output tensor names for a given subgraph.</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.html#l06023">TfLiteParser.cpp:6023</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_af9590c2ae8d68b5da999d3d6ab21dd3b"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#af9590c2ae8d68b5da999d3d6ab21dd3b">armnnTfLiteParser::TfLiteParserImpl::LoadModelFromFile</a></div><div class="ttdeci">static ModelPtr LoadModelFromFile(const char *fileName)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.html#l05402">TfLiteParser.cpp:5402</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ae7e8cbf71db6a490789ca6dcaa8deeae"><div class="ttname"><a href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeae">armnn::ArgMinMaxFunction</a></div><div class="ttdeci">ArgMinMaxFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00103">Types.hpp:103</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_ad9199a42f5fae611db182fb4c31a11df"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ad9199a42f5fae611db182fb4c31a11df">armnnTfLiteParser::TfLiteParserImpl::TfLiteParserImpl</a></div><div class="ttdeci">TfLiteParserImpl(const armnn::Optional< ITfLiteParser::TfLiteParserOptions > &options=armnn::EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.html#l00744">TfLiteParser.cpp:744</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_aaafbda6e6816876b3d7963cfe64dd2f8"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#aaafbda6e6816876b3d7963cfe64dd2f8">armnnTfLiteParser::TfLiteParserImpl::BufferRawPtr</a></div><div class="ttdeci">const tflite::BufferT * BufferRawPtr</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.html#l00040">TfLiteParser.hpp:40</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_aaebfa9a01a0bb8a0935114ff0140cc45"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#aaebfa9a01a0bb8a0935114ff0140cc45">armnnTfLiteParser::TfLiteParserImpl::OutputShapeOfReshape</a></div><div class="ttdeci">static armnn::TensorInfo OutputShapeOfReshape(const armnn::TensorInfo &inputTensorInfo, const std::vector< int32_t > &targetDimsIn)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.html#l03311">TfLiteParser.cpp:3311</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_ac8abb48132e89e5273ca888ca884e305"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ac8abb48132e89e5273ca888ca884e305">armnnTfLiteParser::TfLiteParserImpl::CreateNetworkFromBinaryAsDynamic</a></div><div class="ttdeci">armnn::INetworkPtr CreateNetworkFromBinaryAsDynamic(const std::vector< uint8_t > &binaryContent)</div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_a4ab952e29d01028931f75f997ad7cbd4"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a4ab952e29d01028931f75f997ad7cbd4">armnnTfLiteParser::TfLiteParserImpl::TensorPtr</a></div><div class="ttdeci">std::unique_ptr< tflite::TensorT > TensorPtr</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.html#l00034">TfLiteParser.hpp:34</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_a7f3fc56b7306b444f06f45cdc4032bbf"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a7f3fc56b7306b444f06f45cdc4032bbf">armnnTfLiteParser::TfLiteParserImpl::LoadModelFromBinary</a></div><div class="ttdeci">static ModelPtr LoadModelFromBinary(const uint8_t *binaryContent, size_t len)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.html#l05432">TfLiteParser.cpp:5432</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_a913d452e7766210b59a69d3c658b2862"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a913d452e7766210b59a69d3c658b2862">armnnTfLiteParser::TfLiteParserImpl::GetNetworkInputBindingInfo</a></div><div class="ttdeci">BindingPointInfo GetNetworkInputBindingInfo(size_t subgraphId, const std::string &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="_tf_lite_parser_8cpp_source.html#l05941">TfLiteParser.cpp:5941</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="a_i_network_8hpp_html"><div class="ttname"><a href="_i_network_8hpp.html">INetwork.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_tf_lite_parser_html_a9084adbf804022c874039ad40d1939e9"><div class="ttname"><a href="namespacearmnn_tf_lite_parser.html#a9084adbf804022c874039ad40d1939e9">armnnTfLiteParser::BindingPointInfo</a></div><div class="ttdeci">armnn::BindingPointInfo BindingPointInfo</div><div class="ttdef"><b>Definition:</b> <a href="_i_tf_lite_parser_8hpp_source.html#l00020">ITfLiteParser.hpp:20</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_ab93d9fb8a272789623edfa0b214c40f9"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ab93d9fb8a272789623edfa0b214c40f9">armnnTfLiteParser::TfLiteParserImpl::BufferPtr</a></div><div class="ttdeci">std::unique_ptr< tflite::BufferT > BufferPtr</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.html#l00039">TfLiteParser.hpp:39</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_tf_lite_parser_1_1_tf_lite_parser_impl_html_a86428e0c674542488c7292dfbe2ce381"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a86428e0c674542488c7292dfbe2ce381">armnnTfLiteParser::TfLiteParserImpl::TensorIdRawPtrVector</a></div><div class="ttdeci">std::vector< TensorIdRawPtr > TensorIdRawPtrVector</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.html#l00038">TfLiteParser.hpp:38</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_a59139faede3a07a43c4c8f86bb03dc43"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a59139faede3a07a43c4c8f86bb03dc43">armnnTfLiteParser::TfLiteParserImpl::GetNetworkOutputBindingInfo</a></div><div class="ttdeci">BindingPointInfo GetNetworkOutputBindingInfo(size_t subgraphId, const std::string &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="_tf_lite_parser_8cpp_source.html#l05973">TfLiteParser.cpp:5973</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_a7553cea300edaeb5722990f99f042ef0"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a7553cea300edaeb5722990f99f042ef0">armnnTfLiteParser::TfLiteParserImpl::TensorIdRawPtr</a></div><div class="ttdeci">std::pair< size_t, TensorRawPtr > TensorIdRawPtr</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.html#l00037">TfLiteParser.hpp:37</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_a0da1e3b0281fa84f8b6f5ce3cd15b7c0"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a0da1e3b0281fa84f8b6f5ce3cd15b7c0">armnnTfLiteParser::TfLiteParserImpl::LoadModel</a></div><div class="ttdeci">armnn::INetworkPtr LoadModel(std::unique_ptr< tflite::ModelT > model)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.html#l00972">TfLiteParser.cpp:972</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_aa09a8bb02eed50715082d8b7fccd2f8d"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#aa09a8bb02eed50715082d8b7fccd2f8d">armnnTfLiteParser::TfLiteParserImpl::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="_tf_lite_parser_8cpp_source.html#l06036">TfLiteParser.cpp:6036</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="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8">armnn::UnaryOperation</a></div><div class="ttdeci">UnaryOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00125">Types.hpp:125</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html">armnnTfLiteParser::TfLiteParserImpl</a></div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.html#l00026">TfLiteParser.hpp:26</a></div></div> |
| <div class="ttc" id="a_i_tf_lite_parser_8hpp_html"><div class="ttname"><a href="_i_tf_lite_parser_8hpp.html">ITfLiteParser.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_a20518e431cb501b172371b850e6c3ec7"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a20518e431cb501b172371b850e6c3ec7">armnnTfLiteParser::TfLiteParserImpl::GetSubgraphInputs</a></div><div class="ttdeci">static TensorIdRawPtrVector GetSubgraphInputs(const ModelPtr &model, size_t subgraphIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.html#l05498">TfLiteParser.cpp:5498</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a2d299363c9fc33334c571fa29ca4f58c"><div class="ttname"><a href="namespacearmnn.html#a2d299363c9fc33334c571fa29ca4f58c">armnn::ComparisonOperation</a></div><div class="ttdeci">ComparisonOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00109">Types.hpp:109</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_abfc86471394295357a23b3addd0b5b1c"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#abfc86471394295357a23b3addd0b5b1c">armnnTfLiteParser::TfLiteParserImpl::ModelPtr</a></div><div class="ttdeci">std::unique_ptr< tflite::ModelT > ModelPtr</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.html#l00030">TfLiteParser.hpp:30</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_ab80edc19da7460a95a0ac05902f244b7"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#ab80edc19da7460a95a0ac05902f244b7">armnnTfLiteParser::TfLiteParserImpl::OperatorCodePtr</a></div><div class="ttdeci">std::unique_ptr< tflite::OperatorCodeT > OperatorCodePtr</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.html#l00033">TfLiteParser.hpp:33</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_aaccd84a6cf2f9bdd77f833e4b65ffd42"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#aaccd84a6cf2f9bdd77f833e4b65ffd42">armnnTfLiteParser::TfLiteParserImpl::~TfLiteParserImpl</a></div><div class="ttdeci">~TfLiteParserImpl()=default</div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_aadad81a95152fe5aad839db352d4012c"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#aadad81a95152fe5aad839db352d4012c">armnnTfLiteParser::TfLiteParserImpl::OperatorPtr</a></div><div class="ttdeci">std::unique_ptr< tflite::OperatorT > OperatorPtr</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.html#l00032">TfLiteParser.hpp:32</a></div></div> |
| <div class="ttc" id="a_types_8hpp_html"><div class="ttname"><a href="_types_8hpp.html">Types.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_abc05539fc6e7907f32ef0fb242e3b3b0"><div class="ttname"><a href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0">armnn::ReduceOperation</a></div><div class="ttdeci">ReduceOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00157">Types.hpp:157</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_a1b7aed8466cc5792966d271a65285d0e"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a1b7aed8466cc5792966d271a65285d0e">armnnTfLiteParser::TfLiteParserImpl::GetSubgraphCount</a></div><div class="ttdeci">size_t GetSubgraphCount() const</div><div class="ttdoc">Return the number of subgraphs in the parsed model.</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.html#l06005">TfLiteParser.cpp:6005</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00329">Tensor.hpp:329</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_1_1_i_input_slot_html"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.html">armnn::IInputSlot</a></div><div class="ttdoc">An input connection slot for a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00025">INetwork.hpp:25</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a961bbfe1db71a848eff5a1f0ab775718"><div class="ttname"><a href="namespacearmnn.html#a961bbfe1db71a848eff5a1f0ab775718">armnn::PoolingAlgorithm</a></div><div class="ttdeci">PoolingAlgorithm</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00150">Types.hpp:150</a></div></div> |
| <div class="ttc" id="anamespacearmnn_tf_lite_parser_html"><div class="ttname"><a href="namespacearmnn_tf_lite_parser.html">armnnTfLiteParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_tf_lite_parser_8hpp_source.html#l00017">ITfLiteParser.hpp:17</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_a720f0206e377dd1808acc94b3b12c538"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a720f0206e377dd1808acc94b3b12c538">armnnTfLiteParser::TfLiteParserImpl::GetBuffer</a></div><div class="ttdeci">static BufferRawPtr GetBuffer(const ModelPtr &model, size_t bufferIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.html#l05763">TfLiteParser.cpp:5763</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_a8b4b0b88a5e79a88b8b60db76398f575"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a8b4b0b88a5e79a88b8b60db76398f575">armnnTfLiteParser::TfLiteParserImpl::GetInputTensorIds</a></div><div class="ttdeci">static std::vector< int32_t > & GetInputTensorIds(const ModelPtr &model, size_t subgraphIndex, size_t operatorIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.html#l05531">TfLiteParser.cpp:5531</a></div></div> |
| <div class="ttc" id="aclassarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_html_a7d28f3a07c7ab30f66e7c70ded86eb49"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.html#a7d28f3a07c7ab30f66e7c70ded86eb49">armnnTfLiteParser::TfLiteParserImpl::OutputShapeOfSqueeze</a></div><div class="ttdeci">static armnn::TensorInfo OutputShapeOfSqueeze(std::vector< uint32_t > squeezeDims, const armnn::TensorInfo &inputTensorInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.html#l02430">TfLiteParser.cpp:2430</a></div></div> |
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