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author | David Monahan <david.monahan@arm.com> | 2023-03-22 16:48:58 +0000 |
---|---|---|
committer | David Monahan <david.monahan@arm.com> | 2023-03-22 16:48:58 +0000 |
commit | ae050524109f1ce827962665436ef7430f2ac479 (patch) | |
tree | a087fe0c77570971dd7979f2757426c24e91afc7 /23.02/_model_to_i_network_transformer_8cpp_source.xhtml | |
parent | 8d2ca734165a068478df7cffa46185680b05cd20 (diff) | |
download | armnn-ae050524109f1ce827962665436ef7430f2ac479.tar.gz |
IVGCVSW-7255 Update Doxygen Documentation and publish on GitHub.
* Updating Doxygen documentation for 23.02 release.
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I545574ff7664b4595d2fe6a91a3c35d2ad55df82
Diffstat (limited to '23.02/_model_to_i_network_transformer_8cpp_source.xhtml')
-rw-r--r-- | 23.02/_model_to_i_network_transformer_8cpp_source.xhtml | 289 |
1 files changed, 247 insertions, 42 deletions
diff --git a/23.02/_model_to_i_network_transformer_8cpp_source.xhtml b/23.02/_model_to_i_network_transformer_8cpp_source.xhtml index 1428842f2b..c9a26f6a15 100644 --- a/23.02/_model_to_i_network_transformer_8cpp_source.xhtml +++ b/23.02/_model_to_i_network_transformer_8cpp_source.xhtml @@ -8,7 +8,7 @@ <head> <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> <meta http-equiv="X-UA-Compatible" content="IE=9"/> -<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="generator" content="Doxygen 1.8.17"/> <meta name="robots" content="NOINDEX, NOFOLLOW" /> <meta name="viewport" content="width=device-width, initial-scale=1"/> <title>ArmNN: shim/sl/canonical/ModelToINetworkTransformer.cpp Source File</title> @@ -19,9 +19,6 @@ <script type="text/javascript" src="resize.js"></script> <script type="text/javascript" src="navtreedata.js"></script> <script type="text/javascript" src="navtree.js"></script> -<script type="text/javascript"> - $(document).ready(initResizable); -</script> <link href="search/search.css" rel="stylesheet" type="text/css"/> <script type="text/javascript" src="search/searchdata.js"></script> <script type="text/javascript" src="search/search.js"></script> @@ -30,7 +27,8 @@ extensions: ["tex2jax.js"], jax: ["input/TeX","output/HTML-CSS"], }); -</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +</script> +<script type="text/javascript" async="async" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> <link href="doxygen.css" rel="stylesheet" type="text/css" /> <link href="stylesheet.css" rel="stylesheet" type="text/css"/> </head> @@ -51,18 +49,21 @@ </table> </div> <!-- end header part --> -<!-- Generated by Doxygen 1.8.13 --> +<!-- Generated by Doxygen 1.8.17 --> <script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ var searchBox = new SearchBox("searchBox", "search",false,'Search'); +/* @license-end */ </script> <script type="text/javascript" src="menudata.js"></script> <script type="text/javascript" src="menu.js"></script> <script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ $(function() { initMenu('',true,false,'search.php','Search'); $(document).ready(function() { init_search(); }); }); -</script> +/* @license-end */</script> <div id="main-nav"></div> </div><!-- top --> <div id="side-nav" class="ui-resizable side-nav-resizable"> @@ -76,7 +77,9 @@ $(function() { </div> </div> <script type="text/javascript"> -$(document).ready(function(){initNavTree('_model_to_i_network_transformer_8cpp_source.xhtml','');}); +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(document).ready(function(){initNavTree('_model_to_i_network_transformer_8cpp_source.xhtml',''); initResizable(); }); +/* @license-end */ </script> <div id="doc-content"> <!-- window showing the filter options --> @@ -98,47 +101,249 @@ $(document).ready(function(){initNavTree('_model_to_i_network_transformer_8cpp_s <div class="title">ModelToINetworkTransformer.cpp</div> </div> </div><!--header--> <div class="contents"> -<a href="_model_to_i_network_transformer_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2022 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> </div><div class="line"><a name="l00006"></a><span class="lineno"><a class="line" href="_model_to_i_network_transformer_8cpp.xhtml#a7ce0df38eb467e59f209470c8f5ac4e6"> 6</a></span> <span class="preprocessor">#define LOG_TAG "arm-armnn-sl"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_model_to_i_network_transformer_8hpp.xhtml">ModelToINetworkTransformer.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_canonical_utils_8hpp.xhtml">CanonicalUtils.hpp</a>"</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include "<a class="code" href="_converter_8hpp.xhtml">Converter.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 <log/log.h></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <type_traits></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn__driver.xhtml">armnn_driver</a></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> </div><div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_model_to_i_network_transformer.xhtml#ab4cafc079ba2dc8700c2f92b81dc410b"> 18</a></span> <a class="code" href="classarmnn__driver_1_1_model_to_i_network_transformer.xhtml#ab4cafc079ba2dc8700c2f92b81dc410b">ModelToINetworkTransformer::ModelToINetworkTransformer</a>(</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keyword">const</span> std::vector<armnn::BackendId>& backends,</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a>& model,</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keyword">const</span> std::set<unsigned int>& forcedUnsupportedOperations)</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  : m_Data(backends)</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  , m_Model(model)</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  , m_ForcedUnsupportedOperations(forcedUnsupportedOperations)</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  , m_ConversionResult(<a class="code" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9">ConversionResult</a>::<a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Success</a>)</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> {</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  {</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  Convert();</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  }</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keywordflow">catch</span> (std::exception& e)</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  m_ConversionResult = <a class="code" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527">ConversionResult::UnsupportedFeature</a>;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer: Unexpected exception: "</span> << e.what();</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  assert(<span class="keyword">false</span>);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  }</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> }</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keywordtype">void</span> ModelToINetworkTransformer::Convert()</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer: Convert()"</span>;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="comment">//VLOG(DRIVER) << "ModelToINetworkTransformer: Convert(): " << GetModelSummary(m_Model).c_str();</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="comment">// map the memory pool into shared pointers</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#acb740de896710dbc576f5eaf7a9cfeaa">m_MemPools</a>.clear();</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">if</span> (!setRunTimePoolInfosFromCanonicalMemories(&m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#acb740de896710dbc576f5eaf7a9cfeaa">m_MemPools</a>, m_Model.pools))</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  {</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  VLOG(DRIVER) << <span class="stringliteral">"Setting of run time pool infos from Hidl Memories has failed."</span> << __func__;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  m_ConversionResult = <a class="code" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9ab7d6155514def6898ba4432a82efd28b">ConversionResult::ErrorMappingPools</a>;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  }</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">using</span> <a class="code" href="namespacearmnn.xhtml#a4de71c3661093e5c4ae7775114f43413">NetworkOptions</a> = std::vector<armnn::BackendOptions>;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="namespacearmnn.xhtml#a4de71c3661093e5c4ae7775114f43413">NetworkOptions</a> networkOptions;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a> shapeInferenceMethodOption(<span class="stringliteral">"ShapeInferenceMethod"</span>,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  { <span class="stringliteral">"InferAndValidate"</span>, <span class="keyword">true</span> }</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  });</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  networkOptions.push_back(shapeInferenceMethodOption);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="comment">// Create armnn::INetwork</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a> = <a class="code" href="classarmnn_1_1_i_network.xhtml#a41ce159095e95f7cd4174ce5d4662697">armnn::INetwork::Create</a>(networkOptions);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// add operations to it</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="comment">// track which layer outputs each operand</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer::Convert(): m_OutputSlotForOperand"</span>;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a4df0c61eb897ecc9271a4a85604066ea">m_OutputSlotForOperand</a> = std::vector<armnn::IOutputSlot*>(m_Model.main.operands.size(), <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer::Convert(): for m_Model.inputIndexes.size()"</span>;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < m_Model.main.inputIndexes.size(); i++)</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  {</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer::Convert(): m_Model.inputIndexes[i]"</span>;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="comment">// inputs in android nn are represented by operands</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  uint32_t inputIndex = m_Model.main.inputIndexes[i];</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer::Convert(): m_Model.operands[inputIndex]"</span>;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>& operand = m_Model.main.operands[inputIndex];</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer::Convert(): GetTensorInfoForOperand(operand)"</span>;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensor = <a class="code" href="namespacearmnn__driver.xhtml#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(operand);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">const</span> std::string layerName = <span class="stringliteral">"Input_"</span> + std::to_string(i);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer::Convert(): m_Data.m_Network->AddInputLayer(...)"</span>;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer = m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a>->AddInputLayer(i, layerName.c_str());</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer::Convert(): layer->GetOutputSlot(0)"</span>;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a>& outputSlot = layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer::Convert(): outputSlot.SetTensorInfo(...)"</span>;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  outputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(<a class="code" href="namespacearmnn__driver.xhtml#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(operand));</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer::Convert(): store for later layers"</span>;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="comment">// store for later layers</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a4df0c61eb897ecc9271a4a85604066ea">m_OutputSlotForOperand</a>[inputIndex] = &outputSlot;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  }</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  }</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">catch</span> (<a class="code" href="classarmnn__driver_1_1_unsupported_operand.xhtml">UnsupportedOperand<OperandType></a>& e)</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>  VLOG(DRIVER) << __func__ << <span class="stringliteral">"Operand type: "</span> << e.<a class="code" href="classarmnn__driver_1_1_unsupported_operand.xhtml#adbccd9c087443cf759711a3e62da9a84">m_type</a> << <span class="stringliteral">" is not supported in ArmnnDriver"</span>;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  m_ConversionResult = <a class="code" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527">ConversionResult::UnsupportedFeature</a>;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  }</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>& e)</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  {</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  Fail(<span class="stringliteral">"%s: Failed to convert input operand to TensorShape: %s"</span>, __func__, e.<a class="code" href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">what</a>());</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  m_ConversionResult = <a class="code" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527">ConversionResult::UnsupportedFeature</a>;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordtype">bool</span> UnsupportedDynamicOperation = <span class="keyword">false</span>;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">for</span> (uint32_t operationIdx = 0; operationIdx < m_Model.main.operations.size(); operationIdx++)</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  {</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& operation = m_Model.main.operations[operationIdx];</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">bool</span> ok = <span class="keyword">true</span>;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">if</span> (m_ForcedUnsupportedOperations.find(operationIdx) != m_ForcedUnsupportedOperations.end())</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  {</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  Fail(<span class="stringliteral">"%s: Operation at index %i has been forced to be unsupported."</span>, __func__, operationIdx);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  ok = <span class="keyword">false</span>;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  }</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">if</span> (ok)</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  {</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  {</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  ok = <a class="code" href="classarmnn__driver_1_1_converter.xhtml#a066acd78f531b709b725a730bfbee887">Converter::ConvertOperation</a>(operation, m_Model, m_Data);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  }</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">catch</span> (<a class="code" href="classarmnn__driver_1_1_unsupported_operand.xhtml">UnsupportedOperand<OperandType></a>& e)</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  {</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  VLOG(DRIVER) << __func__ << <span class="stringliteral">"Operation type: "</span> << e.<a class="code" href="classarmnn__driver_1_1_unsupported_operand.xhtml#adbccd9c087443cf759711a3e62da9a84">m_type</a> << <span class="stringliteral">"is not supported in ArmnnDriver"</span>;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  ok = <span class="keyword">false</span>;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  }</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>& e)</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  Fail(<span class="stringliteral">"%s: Failed to convert operation in %s"</span>, __func__, e.<a class="code" href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">what</a>());</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  ok = <span class="keyword">false</span>;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  }</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  }</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">// Store whether this operation was successfully converted.</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  m_OperationSupported.emplace(operationIdx, ok);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="comment">// Any single operation failing will fail the entire conversion.</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="comment">// We still need to continue and check the other ones.</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">if</span> (!ok)</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">if</span> (m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a094e06eb84b3b80533c0f961f0f472de">m_DynamicInputsEncountered</a>)</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  {</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  Fail(<span class="stringliteral">"%s: The unsupported operation at index %i has dynamic inputs."</span>, __func__, operationIdx);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  UnsupportedDynamicOperation = <span class="keyword">true</span>;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  }</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  m_ConversionResult = <a class="code" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527">ConversionResult::UnsupportedFeature</a>;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  }</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a094e06eb84b3b80533c0f961f0f472de">m_DynamicInputsEncountered</a> = <span class="keyword">false</span>;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  }</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">// Due to the NNAPI partitioner not supporting partition boundaries of unknown size,</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">// any operations who's outputs connect to an unsupported operation with with dynamic inputs</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="comment">// will cause a failure.</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> </div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="comment">// The simplest solution to this problem is to not support any operations in a model containing</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="comment">// an unsupported operation with with dynamic inputs.</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">if</span> (UnsupportedDynamicOperation)</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  {</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  Fail(<span class="stringliteral">"%s: Unsupported operation with dynamic inputs found. Retroactively setting all operations to unsupported"</span>,</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  __func__);</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& operation : m_OperationSupported)</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  {</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  operation.second = <span class="keyword">false</span>;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  }</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  }</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  {</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">if</span> (m_ConversionResult == <a class="code" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a505a83f220c02df2f85c3810cd9ceb38">ConversionResult::Success</a>)</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  {</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < m_Model.main.outputIndexes.size(); i++)</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  {</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="comment">// outputs in android nn are represented by operands</span></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  uint32_t outputIndex = m_Model.main.outputIndexes[i];</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& operand = m_Model.main.operands[outputIndex];</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensor = <a class="code" href="namespacearmnn__driver.xhtml#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(operand);</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keyword">const</span> std::string layerName = <span class="stringliteral">"Output_"</span> + std::to_string(i);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer = m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a>->AddOutputLayer(i, layerName.c_str());</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> </div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  assert(m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a4df0c61eb897ecc9271a4a85604066ea">m_OutputSlotForOperand</a>[outputIndex]);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a4df0c61eb897ecc9271a4a85604066ea">m_OutputSlotForOperand</a>[outputIndex]->Connect(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  }</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  }</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  }</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>& e)</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  {</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  Fail(<span class="stringliteral">"%s: Failed to convert output operand to TensorShape: %s"</span>, __func__, e.<a class="code" href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">what</a>());</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  m_ConversionResult = <a class="code" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527">ConversionResult::UnsupportedFeature</a>;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  }</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> }</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div><div class="line"><a name="l00195"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_model_to_i_network_transformer.xhtml#a40b4ed2ba597213863c7b380f8fd2e8a"> 195</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn__driver_1_1_model_to_i_network_transformer.xhtml#a40b4ed2ba597213863c7b380f8fd2e8a">ModelToINetworkTransformer::IsOperationSupported</a>(uint32_t operationIndex)<span class="keyword"> const</span></div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="keyword"></span>{</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  std::map<uint32_t, bool>::const_iterator it = m_OperationSupported.find(operationIndex);</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  assert(it != m_OperationSupported.end());</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">return</span> it->second;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> }</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> </div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> } <span class="comment">// armnn_driver</span></div><div class="ttc" id="structarmnn__driver_1_1_conversion_data_xhtml_acb740de896710dbc576f5eaf7a9cfeaa"><div class="ttname"><a href="structarmnn__driver_1_1_conversion_data.xhtml#acb740de896710dbc576f5eaf7a9cfeaa">armnn_driver::ConversionData::m_MemPools</a></div><div class="ttdeci">std::vector<::android::nn::RunTimePoolInfo > m_MemPools</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00062">ConversionUtils.hpp:62</a></div></div> -<div class="ttc" id="_canonical_utils_8hpp_xhtml"><div class="ttname"><a href="_canonical_utils_8hpp.xhtml">CanonicalUtils.hpp</a></div></div> -<div class="ttc" id="namespacearmnn__driver_xhtml_afa2a6d5a1431289c92cea9cceeb174c9ab7d6155514def6898ba4432a82efd28b"><div class="ttname"><a href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9ab7d6155514def6898ba4432a82efd28b">armnn_driver::ConversionResult::ErrorMappingPools</a></div></div> -<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00068">INetwork.hpp:68</a></div></div> -<div class="ttc" id="structarmnn__driver_1_1_conversion_data_xhtml_a4df0c61eb897ecc9271a4a85604066ea"><div class="ttname"><a href="structarmnn__driver_1_1_conversion_data.xhtml#a4df0c61eb897ecc9271a4a85604066ea">armnn_driver::ConversionData::m_OutputSlotForOperand</a></div><div class="ttdeci">std::vector< armnn::IOutputSlot * > m_OutputSlotForOperand</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00061">ConversionUtils.hpp:61</a></div></div> -<div class="ttc" id="classarmnn_1_1_i_network_xhtml_a41ce159095e95f7cd4174ce5d4662697"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a41ce159095e95f7cd4174ce5d4662697">armnn::INetwork::Create</a></div><div class="ttdeci">static INetworkPtr Create(const NetworkOptions &networkOptions={})</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00452">Network.cpp:452</a></div></div> -<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> -<div class="ttc" id="classarmnn__driver_1_1_converter_xhtml_a066acd78f531b709b725a730bfbee887"><div class="ttname"><a href="classarmnn__driver_1_1_converter.xhtml#a066acd78f531b709b725a730bfbee887">armnn_driver::Converter::ConvertOperation</a></div><div class="ttdeci">static bool ConvertOperation(const Operation &operation, const Model &model, ConversionData &data)</div><div class="ttdef"><b>Definition:</b> <a href="_converter_8cpp_source.xhtml#l00021">Converter.cpp:21</a></div></div> -<div class="ttc" id="classarmnn_1_1_exception_xhtml_abf843cbb29dec939d0731e491bab6f70"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">armnn::Exception::what</a></div><div class="ttdeci">virtual const char * what() const noexcept override</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8cpp_source.xhtml#l00032">Exceptions.cpp:32</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a4de71c3661093e5c4ae7775114f43413"><div class="ttname"><a href="namespacearmnn.xhtml#a4de71c3661093e5c4ae7775114f43413">armnn::NetworkOptions</a></div><div class="ttdeci">std::vector< BackendOptions > NetworkOptions</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00016">BackendOptions.hpp:16</a></div></div> -<div class="ttc" id="classarmnn__driver_1_1_unsupported_operand_xhtml_adbccd9c087443cf759711a3e62da9a84"><div class="ttname"><a href="classarmnn__driver_1_1_unsupported_operand.xhtml#adbccd9c087443cf759711a3e62da9a84">armnn_driver::UnsupportedOperand::m_type</a></div><div class="ttdeci">OperandType m_type</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8hpp_source.xhtml#l00035">CanonicalUtils.hpp:35</a></div></div> -<div class="ttc" id="classarmnn__driver_1_1_unsupported_operand_xhtml"><div class="ttname"><a href="classarmnn__driver_1_1_unsupported_operand.xhtml">armnn_driver::UnsupportedOperand</a></div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8hpp_source.xhtml#l00027">CanonicalUtils.hpp:27</a></div></div> -<div class="ttc" id="structarmnn__driver_1_1_conversion_data_xhtml_a094e06eb84b3b80533c0f961f0f472de"><div class="ttname"><a href="structarmnn__driver_1_1_conversion_data.xhtml#a094e06eb84b3b80533c0f961f0f472de">armnn_driver::ConversionData::m_DynamicInputsEncountered</a></div><div class="ttdeci">bool m_DynamicInputsEncountered</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00063">ConversionUtils.hpp:63</a></div></div> -<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_a5ee4a6c9a2481245487b1b1a70d20fd0"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">armnn::IOutputSlot::SetTensorInfo</a></div><div class="ttdeci">virtual void SetTensorInfo(const TensorInfo &tensorInfo)=0</div></div> -<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a></div></div> -<div class="ttc" id="namespacearmnn__driver_xhtml_a923b39ec5f83672f50289cbaf5de6798"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">armnn_driver::Model</a></div><div class="ttdeci">::android::nn::Model Model</div><div class="ttdoc">Helper classes. </div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00043">ConversionUtils.hpp:43</a></div></div> -<div class="ttc" id="structarmnn__driver_1_1_conversion_data_xhtml_a2db3ae8d422f17d455e0ba0cb6291d2a"><div class="ttname"><a href="structarmnn__driver_1_1_conversion_data.xhtml#a2db3ae8d422f17d455e0ba0cb6291d2a">armnn_driver::ConversionData::m_Network</a></div><div class="ttdeci">armnn::INetworkPtr m_Network</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00060">ConversionUtils.hpp:60</a></div></div> -<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a></div><div class="ttdoc">An output connection slot for a layer. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00041">INetwork.hpp:41</a></div></div> -<div class="ttc" id="namespacearmnn__driver_xhtml_afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527"><div class="ttname"><a href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527">armnn_driver::ConversionResult::UnsupportedFeature</a></div></div> -<div class="ttc" id="namespacearmnn__driver_xhtml_a93f4874062e34819806d36b74c73dc61"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a93f4874062e34819806d36b74c73dc61">armnn_driver::GetTensorInfoForOperand</a></div><div class="ttdeci">armnn::TensorInfo GetTensorInfoForOperand(const Operand &operand)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00097">CanonicalUtils.cpp:97</a></div></div> -<div class="ttc" id="classarmnn__driver_1_1_model_to_i_network_transformer_xhtml_a40b4ed2ba597213863c7b380f8fd2e8a"><div class="ttname"><a href="classarmnn__driver_1_1_model_to_i_network_transformer.xhtml#a40b4ed2ba597213863c7b380f8fd2e8a">armnn_driver::ModelToINetworkTransformer::IsOperationSupported</a></div><div class="ttdeci">bool IsOperationSupported(uint32_t operationIndex) const</div><div class="ttdef"><b>Definition:</b> <a href="_model_to_i_network_transformer_8cpp_source.xhtml#l00195">ModelToINetworkTransformer.cpp:195</a></div></div> -<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div> -<div class="ttc" id="structarmnn_1_1_backend_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a></div><div class="ttdoc">Struct for the users to pass backend specific options. </div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00022">BackendOptions.hpp:22</a></div></div> -<div class="ttc" id="_converter_8hpp_xhtml"><div class="ttname"><a href="_converter_8hpp.xhtml">Converter.hpp</a></div></div> -<div class="ttc" id="namespacearmnn__driver_xhtml_aa9b4bc8d4cfb04be14771dbb1bc1a1ac"><div class="ttname"><a href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">armnn_driver::Operand</a></div><div class="ttdeci">::android::nn::Operand Operand</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00044">ConversionUtils.hpp:44</a></div></div> -<div class="ttc" id="classarmnn__driver_1_1_model_to_i_network_transformer_xhtml_ab4cafc079ba2dc8700c2f92b81dc410b"><div class="ttname"><a href="classarmnn__driver_1_1_model_to_i_network_transformer.xhtml#ab4cafc079ba2dc8700c2f92b81dc410b">armnn_driver::ModelToINetworkTransformer::ModelToINetworkTransformer</a></div><div class="ttdeci">ModelToINetworkTransformer(const std::vector< armnn::BackendId > &backends, const Model &model, const std::set< unsigned int > &forcedUnsupportedOperations)</div><div class="ttdef"><b>Definition:</b> <a href="_model_to_i_network_transformer_8cpp_source.xhtml#l00018">ModelToINetworkTransformer.cpp:18</a></div></div> -<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_a6ec9e0eb66d7d6a01240492a0b18104c"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">armnn::IConnectableLayer::GetInputSlot</a></div><div class="ttdeci">virtual const IInputSlot & GetInputSlot(unsigned int index) const =0</div><div class="ttdoc">Get a const input slot handle by slot index. </div></div> -<div class="ttc" id="namespacearmnn__driver_xhtml_afa2a6d5a1431289c92cea9cceeb174c9a505a83f220c02df2f85c3810cd9ceb38"><div class="ttname"><a href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a505a83f220c02df2f85c3810cd9ceb38">armnn_driver::ConversionResult::Success</a></div></div> -<div class="ttc" id="_model_to_i_network_transformer_8hpp_xhtml"><div class="ttname"><a href="_model_to_i_network_transformer_8hpp.xhtml">ModelToINetworkTransformer.hpp</a></div></div> -<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_a80ac4eda2e7f2757ec9dd96fc96dbd16"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">armnn::IConnectableLayer::GetOutputSlot</a></div><div class="ttdeci">virtual const IOutputSlot & GetOutputSlot(unsigned int index) const =0</div><div class="ttdoc">Get the const output slot handle by slot index. </div></div> -<div class="ttc" id="namespacearmnn__driver_xhtml_afa2a6d5a1431289c92cea9cceeb174c9"><div class="ttname"><a href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9">armnn_driver::ConversionResult</a></div><div class="ttdeci">ConversionResult</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00125">ConversionUtils.hpp:125</a></div></div> -<div class="ttc" id="namespacearmnn__driver_xhtml"><div class="ttname"><a href="namespacearmnn__driver.xhtml">armnn_driver</a></div><div class="ttdoc">Helper classes. </div><div class="ttdef"><b>Definition:</b> <a href="_armnn_device_8cpp_source.xhtml#l00037">ArmnnDevice.cpp:37</a></div></div> +<a href="_model_to_i_network_transformer_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div> +<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2022 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>  </div> +<div class="line"><a name="l00006"></a><span class="lineno"><a class="line" href="_model_to_i_network_transformer_8cpp.xhtml#a7ce0df38eb467e59f209470c8f5ac4e6"> 6</a></span> <span class="preprocessor">#define LOG_TAG "arm-armnn-sl"</span></div> +<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>  </div> +<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_model_to_i_network_transformer_8hpp.xhtml">ModelToINetworkTransformer.hpp</a>"</span></div> +<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_canonical_utils_8hpp.xhtml">CanonicalUtils.hpp</a>"</span></div> +<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include "<a class="code" href="_converter_8hpp.xhtml">Converter.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 <log/log.h></span></div> +<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <type_traits></span></div> +<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  </div> +<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn__driver.xhtml">armnn_driver</a></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>  </div> +<div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_model_to_i_network_transformer.xhtml#ab4cafc079ba2dc8700c2f92b81dc410b"> 18</a></span> <a class="code" href="classarmnn__driver_1_1_model_to_i_network_transformer.xhtml#ab4cafc079ba2dc8700c2f92b81dc410b">ModelToINetworkTransformer::ModelToINetworkTransformer</a>(</div> +<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keyword">const</span> std::vector<armnn::BackendId>& backends,</div> +<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a>& model,</div> +<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keyword">const</span> std::set<unsigned int>& forcedUnsupportedOperations)</div> +<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  : m_Data(backends)</div> +<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  , m_Model(model)</div> +<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  , m_ForcedUnsupportedOperations(forcedUnsupportedOperations)</div> +<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  , m_ConversionResult(<a class="code" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9">ConversionResult</a>::<a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Success</a>)</div> +<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> {</div> +<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordflow">try</span></div> +<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  {</div> +<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  Convert();</div> +<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  }</div> +<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keywordflow">catch</span> (std::exception& e)</div> +<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  {</div> +<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  m_ConversionResult = <a class="code" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527">ConversionResult::UnsupportedFeature</a>;</div> +<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer: Unexpected exception: "</span> << e.what();</div> +<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  assert(<span class="keyword">false</span>);</div> +<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  }</div> +<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> }</div> +<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  </div> +<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keywordtype">void</span> ModelToINetworkTransformer::Convert()</div> +<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div> +<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer: Convert()"</span>;</div> +<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="comment">//VLOG(DRIVER) << "ModelToINetworkTransformer: Convert(): " << GetModelSummary(m_Model).c_str();</span></div> +<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  </div> +<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="comment">// map the memory pool into shared pointers</span></div> +<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#acb740de896710dbc576f5eaf7a9cfeaa">m_MemPools</a>.clear();</div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">if</span> (!setRunTimePoolInfosFromCanonicalMemories(&m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#acb740de896710dbc576f5eaf7a9cfeaa">m_MemPools</a>, m_Model.pools))</div> +<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  {</div> +<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  VLOG(DRIVER) << <span class="stringliteral">"Setting of run time pool infos from Hidl Memories has failed."</span> << __func__;</div> +<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  m_ConversionResult = <a class="code" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9ab7d6155514def6898ba4432a82efd28b">ConversionResult::ErrorMappingPools</a>;</div> +<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordflow">return</span>;</div> +<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  }</div> +<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  </div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">using</span> <a class="code" href="namespacearmnn.xhtml#a4de71c3661093e5c4ae7775114f43413">NetworkOptions</a> = std::vector<armnn::BackendOptions>;</div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="namespacearmnn.xhtml#a4de71c3661093e5c4ae7775114f43413">NetworkOptions</a> networkOptions;</div> +<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a> shapeInferenceMethodOption(<span class="stringliteral">"ShapeInferenceMethod"</span>,</div> +<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  {</div> +<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  { <span class="stringliteral">"InferAndValidate"</span>, <span class="keyword">true</span> }</div> +<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  });</div> +<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  </div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  networkOptions.push_back(shapeInferenceMethodOption);</div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  </div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="comment">// Create armnn::INetwork</span></div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a> = <a class="code" href="classarmnn_1_1_i_network.xhtml#a41ce159095e95f7cd4174ce5d4662697">armnn::INetwork::Create</a>(networkOptions);</div> +<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  </div> +<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// add operations to it</span></div> +<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="comment">// track which layer outputs each operand</span></div> +<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer::Convert(): m_OutputSlotForOperand"</span>;</div> +<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a4df0c61eb897ecc9271a4a85604066ea">m_OutputSlotForOperand</a> = std::vector<armnn::IOutputSlot*>(m_Model.main.operands.size(), <span class="keyword">nullptr</span>);</div> +<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">try</span></div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  {</div> +<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer::Convert(): for m_Model.inputIndexes.size()"</span>;</div> +<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < m_Model.main.inputIndexes.size(); i++)</div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  {</div> +<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer::Convert(): m_Model.inputIndexes[i]"</span>;</div> +<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="comment">// inputs in android nn are represented by operands</span></div> +<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  uint32_t inputIndex = m_Model.main.inputIndexes[i];</div> +<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer::Convert(): m_Model.operands[inputIndex]"</span>;</div> +<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>& operand = m_Model.main.operands[inputIndex];</div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer::Convert(): GetTensorInfoForOperand(operand)"</span>;</div> +<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  </div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensor = <a class="code" href="namespacearmnn__driver.xhtml#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(operand);</div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">const</span> std::string layerName = <span class="stringliteral">"Input_"</span> + std::to_string(i);</div> +<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer::Convert(): m_Data.m_Network->AddInputLayer(...)"</span>;</div> +<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer = m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a>->AddInputLayer(i, layerName.c_str());</div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  </div> +<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer::Convert(): layer->GetOutputSlot(0)"</span>;</div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a>& outputSlot = layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0);</div> +<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer::Convert(): outputSlot.SetTensorInfo(...)"</span>;</div> +<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  outputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(<a class="code" href="namespacearmnn__driver.xhtml#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(operand));</div> +<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  </div> +<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  VLOG(DRIVER) << <span class="stringliteral">"ModelToINetworkTransformer::Convert(): store for later layers"</span>;</div> +<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="comment">// store for later layers</span></div> +<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a4df0c61eb897ecc9271a4a85604066ea">m_OutputSlotForOperand</a>[inputIndex] = &outputSlot;</div> +<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  }</div> +<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  }</div> +<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">catch</span> (<a class="code" href="classarmnn__driver_1_1_unsupported_operand.xhtml">UnsupportedOperand<OperandType></a>& e)</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>  VLOG(DRIVER) << __func__ << <span class="stringliteral">"Operand type: "</span> << e.<a class="code" href="classarmnn__driver_1_1_unsupported_operand.xhtml#adbccd9c087443cf759711a3e62da9a84">m_type</a> << <span class="stringliteral">" is not supported in ArmnnDriver"</span>;</div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  m_ConversionResult = <a class="code" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527">ConversionResult::UnsupportedFeature</a>;</div> +<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  }</div> +<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>& e)</div> +<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  {</div> +<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  Fail(<span class="stringliteral">"%s: Failed to convert input operand to TensorShape: %s"</span>, __func__, e.<a class="code" href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">what</a>());</div> +<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  m_ConversionResult = <a class="code" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527">ConversionResult::UnsupportedFeature</a>;</div> +<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  }</div> +<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordtype">bool</span> UnsupportedDynamicOperation = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">for</span> (uint32_t operationIdx = 0; operationIdx < m_Model.main.operations.size(); operationIdx++)</div> +<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  {</div> +<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& operation = m_Model.main.operations[operationIdx];</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">bool</span> ok = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">if</span> (m_ForcedUnsupportedOperations.find(operationIdx) != m_ForcedUnsupportedOperations.end())</div> +<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  {</div> +<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  Fail(<span class="stringliteral">"%s: Operation at index %i has been forced to be unsupported."</span>, __func__, operationIdx);</div> +<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  ok = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  }</div> +<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  </div> +<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">if</span> (ok)</div> +<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  {</div> +<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordflow">try</span></div> +<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  {</div> +<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  ok = <a class="code" href="classarmnn__driver_1_1_converter.xhtml#a066acd78f531b709b725a730bfbee887">Converter::ConvertOperation</a>(operation, m_Model, m_Data);</div> +<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  }</div> +<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">catch</span> (<a class="code" href="classarmnn__driver_1_1_unsupported_operand.xhtml">UnsupportedOperand<OperandType></a>& e)</div> +<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  {</div> +<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  VLOG(DRIVER) << __func__ << <span class="stringliteral">"Operation type: "</span> << e.<a class="code" href="classarmnn__driver_1_1_unsupported_operand.xhtml#adbccd9c087443cf759711a3e62da9a84">m_type</a> << <span class="stringliteral">"is not supported in ArmnnDriver"</span>;</div> +<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  ok = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  }</div> +<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>& e)</div> +<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  {</div> +<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  Fail(<span class="stringliteral">"%s: Failed to convert operation in %s"</span>, __func__, e.<a class="code" href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">what</a>());</div> +<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  ok = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  }</div> +<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  }</div> +<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  </div> +<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">// Store whether this operation was successfully converted.</span></div> +<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  m_OperationSupported.emplace(operationIdx, ok);</div> +<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  </div> +<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="comment">// Any single operation failing will fail the entire conversion.</span></div> +<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="comment">// We still need to continue and check the other ones.</span></div> +<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">if</span> (!ok)</div> +<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div> +<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">if</span> (m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a094e06eb84b3b80533c0f961f0f472de">m_DynamicInputsEncountered</a>)</div> +<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  {</div> +<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  Fail(<span class="stringliteral">"%s: The unsupported operation at index %i has dynamic inputs."</span>, __func__, operationIdx);</div> +<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  UnsupportedDynamicOperation = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  }</div> +<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  </div> +<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  m_ConversionResult = <a class="code" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527">ConversionResult::UnsupportedFeature</a>;</div> +<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  }</div> +<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a094e06eb84b3b80533c0f961f0f472de">m_DynamicInputsEncountered</a> = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  }</div> +<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  </div> +<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">// Due to the NNAPI partitioner not supporting partition boundaries of unknown size,</span></div> +<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">// any operations who's outputs connect to an unsupported operation with with dynamic inputs</span></div> +<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="comment">// will cause a failure.</span></div> +<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  </div> +<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="comment">// The simplest solution to this problem is to not support any operations in a model containing</span></div> +<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="comment">// an unsupported operation with with dynamic inputs.</span></div> +<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">if</span> (UnsupportedDynamicOperation)</div> +<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  {</div> +<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  Fail(<span class="stringliteral">"%s: Unsupported operation with dynamic inputs found. Retroactively setting all operations to unsupported"</span>,</div> +<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  __func__);</div> +<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& operation : m_OperationSupported)</div> +<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  {</div> +<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  operation.second = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  }</div> +<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  }</div> +<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  </div> +<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">try</span></div> +<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  {</div> +<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">if</span> (m_ConversionResult == <a class="code" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a505a83f220c02df2f85c3810cd9ceb38">ConversionResult::Success</a>)</div> +<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  {</div> +<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < m_Model.main.outputIndexes.size(); i++)</div> +<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  {</div> +<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="comment">// outputs in android nn are represented by operands</span></div> +<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  uint32_t outputIndex = m_Model.main.outputIndexes[i];</div> +<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& operand = m_Model.main.operands[outputIndex];</div> +<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensor = <a class="code" href="namespacearmnn__driver.xhtml#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(operand);</div> +<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keyword">const</span> std::string layerName = <span class="stringliteral">"Output_"</span> + std::to_string(i);</div> +<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer = m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a>->AddOutputLayer(i, layerName.c_str());</div> +<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  </div> +<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  assert(m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a4df0c61eb897ecc9271a4a85604066ea">m_OutputSlotForOperand</a>[outputIndex]);</div> +<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  m_Data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a4df0c61eb897ecc9271a4a85604066ea">m_OutputSlotForOperand</a>[outputIndex]->Connect(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div> +<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  }</div> +<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  }</div> +<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  }</div> +<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>& e)</div> +<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  {</div> +<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  Fail(<span class="stringliteral">"%s: Failed to convert output operand to TensorShape: %s"</span>, __func__, e.<a class="code" href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">what</a>());</div> +<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  m_ConversionResult = <a class="code" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527">ConversionResult::UnsupportedFeature</a>;</div> +<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  }</div> +<div class="line"><a name="l00193"></a><span class="lineno"> 193</span> }</div> +<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  </div> +<div class="line"><a name="l00195"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_model_to_i_network_transformer.xhtml#a40b4ed2ba597213863c7b380f8fd2e8a"> 195</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn__driver_1_1_model_to_i_network_transformer.xhtml#a40b4ed2ba597213863c7b380f8fd2e8a">ModelToINetworkTransformer::IsOperationSupported</a>(uint32_t operationIndex)<span class="keyword"> const</span></div> +<div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  std::map<uint32_t, bool>::const_iterator it = m_OperationSupported.find(operationIndex);</div> +<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  assert(it != m_OperationSupported.end());</div> +<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">return</span> it->second;</div> +<div class="line"><a name="l00200"></a><span class="lineno"> 200</span> }</div> +<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  </div> +<div class="line"><a name="l00202"></a><span class="lineno"> 202</span> } <span class="comment">// armnn_driver</span></div> </div><!-- fragment --></div><!-- contents --> </div><!-- doc-content --> +<div class="ttc" id="anamespacearmnn__driver_xhtml"><div class="ttname"><a href="namespacearmnn__driver.xhtml">armnn_driver</a></div><div class="ttdoc">Helper classes.</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_device_8cpp_source.xhtml#l00037">ArmnnDevice.cpp:37</a></div></div> +<div class="ttc" id="aclassarmnn__driver_1_1_unsupported_operand_xhtml"><div class="ttname"><a href="classarmnn__driver_1_1_unsupported_operand.xhtml">armnn_driver::UnsupportedOperand</a></div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8hpp_source.xhtml#l00027">CanonicalUtils.hpp:27</a></div></div> +<div class="ttc" id="astructarmnn__driver_1_1_conversion_data_xhtml_a4df0c61eb897ecc9271a4a85604066ea"><div class="ttname"><a href="structarmnn__driver_1_1_conversion_data.xhtml#a4df0c61eb897ecc9271a4a85604066ea">armnn_driver::ConversionData::m_OutputSlotForOperand</a></div><div class="ttdeci">std::vector< armnn::IOutputSlot * > m_OutputSlotForOperand</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00061">ConversionUtils.hpp:61</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00068">INetwork.hpp:68</a></div></div> +<div class="ttc" id="astructarmnn__driver_1_1_conversion_data_xhtml_a094e06eb84b3b80533c0f961f0f472de"><div class="ttname"><a href="structarmnn__driver_1_1_conversion_data.xhtml#a094e06eb84b3b80533c0f961f0f472de">armnn_driver::ConversionData::m_DynamicInputsEncountered</a></div><div class="ttdeci">bool m_DynamicInputsEncountered</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00063">ConversionUtils.hpp:63</a></div></div> +<div class="ttc" id="aclassarmnn__driver_1_1_model_to_i_network_transformer_xhtml_ab4cafc079ba2dc8700c2f92b81dc410b"><div class="ttname"><a href="classarmnn__driver_1_1_model_to_i_network_transformer.xhtml#ab4cafc079ba2dc8700c2f92b81dc410b">armnn_driver::ModelToINetworkTransformer::ModelToINetworkTransformer</a></div><div class="ttdeci">ModelToINetworkTransformer(const std::vector< armnn::BackendId > &backends, const Model &model, const std::set< unsigned int > &forcedUnsupportedOperations)</div><div class="ttdef"><b>Definition:</b> <a href="_model_to_i_network_transformer_8cpp_source.xhtml#l00018">ModelToINetworkTransformer.cpp:18</a></div></div> +<div class="ttc" id="astructarmnn_1_1_backend_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a></div><div class="ttdoc">Struct for the users to pass backend specific options.</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00022">BackendOptions.hpp:22</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a923b39ec5f83672f50289cbaf5de6798"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">armnn_driver::Model</a></div><div class="ttdeci">::android::nn::Model Model</div><div class="ttdoc">Helper classes.</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00043">ConversionUtils.hpp:43</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_exception_xhtml_abf843cbb29dec939d0731e491bab6f70"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">armnn::Exception::what</a></div><div class="ttdeci">virtual const char * what() const noexcept override</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8cpp_source.xhtml#l00032">Exceptions.cpp:32</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_afa2a6d5a1431289c92cea9cceeb174c9"><div class="ttname"><a href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9">armnn_driver::ConversionResult</a></div><div class="ttdeci">ConversionResult</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00125">ConversionUtils.hpp:125</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_xhtml_a80ac4eda2e7f2757ec9dd96fc96dbd16"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">armnn::IConnectableLayer::GetOutputSlot</a></div><div class="ttdeci">virtual const IOutputSlot & GetOutputSlot(unsigned int index) const =0</div><div class="ttdoc">Get the const output slot handle by slot index.</div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_aa9b4bc8d4cfb04be14771dbb1bc1a1ac"><div class="ttname"><a href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">armnn_driver::Operand</a></div><div class="ttdeci">::android::nn::Operand Operand</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00044">ConversionUtils.hpp:44</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_xhtml_a6ec9e0eb66d7d6a01240492a0b18104c"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">armnn::IConnectableLayer::GetInputSlot</a></div><div class="ttdeci">virtual const IInputSlot & GetInputSlot(unsigned int index) const =0</div><div class="ttdoc">Get a const input slot handle by slot index.</div></div> +<div class="ttc" id="astructarmnn__driver_1_1_conversion_data_xhtml_a2db3ae8d422f17d455e0ba0cb6291d2a"><div class="ttname"><a href="structarmnn__driver_1_1_conversion_data.xhtml#a2db3ae8d422f17d455e0ba0cb6291d2a">armnn_driver::ConversionData::m_Network</a></div><div class="ttdeci">armnn::INetworkPtr m_Network</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00060">ConversionUtils.hpp:60</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a4de71c3661093e5c4ae7775114f43413"><div class="ttname"><a href="namespacearmnn.xhtml#a4de71c3661093e5c4ae7775114f43413">armnn::NetworkOptions</a></div><div class="ttdeci">std::vector< BackendOptions > NetworkOptions</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00016">BackendOptions.hpp:16</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_afa2a6d5a1431289c92cea9cceeb174c9ab7d6155514def6898ba4432a82efd28b"><div class="ttname"><a href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9ab7d6155514def6898ba4432a82efd28b">armnn_driver::ConversionResult::ErrorMappingPools</a></div><div class="ttdeci">@ ErrorMappingPools</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_output_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a></div><div class="ttdoc">An output connection slot for a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00041">INetwork.hpp:41</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="a_converter_8hpp_xhtml"><div class="ttname"><a href="_converter_8hpp.xhtml">Converter.hpp</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a></div><div class="ttdeci">@ Success</div></div> +<div class="ttc" id="aclassarmnn__driver_1_1_converter_xhtml_a066acd78f531b709b725a730bfbee887"><div class="ttname"><a href="classarmnn__driver_1_1_converter.xhtml#a066acd78f531b709b725a730bfbee887">armnn_driver::Converter::ConvertOperation</a></div><div class="ttdeci">static bool ConvertOperation(const Operation &operation, const Model &model, ConversionData &data)</div><div class="ttdef"><b>Definition:</b> <a href="_converter_8cpp_source.xhtml#l00021">Converter.cpp:21</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527"><div class="ttname"><a href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527">armnn_driver::ConversionResult::UnsupportedFeature</a></div><div class="ttdeci">@ UnsupportedFeature</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a41ce159095e95f7cd4174ce5d4662697"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a41ce159095e95f7cd4174ce5d4662697">armnn::INetwork::Create</a></div><div class="ttdeci">static INetworkPtr Create(const NetworkOptions &networkOptions={})</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00452">Network.cpp:452</a></div></div> +<div class="ttc" id="a_canonical_utils_8hpp_xhtml"><div class="ttname"><a href="_canonical_utils_8hpp.xhtml">CanonicalUtils.hpp</a></div></div> +<div class="ttc" id="aclassarmnn__driver_1_1_unsupported_operand_xhtml_adbccd9c087443cf759711a3e62da9a84"><div class="ttname"><a href="classarmnn__driver_1_1_unsupported_operand.xhtml#adbccd9c087443cf759711a3e62da9a84">armnn_driver::UnsupportedOperand::m_type</a></div><div class="ttdeci">OperandType m_type</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8hpp_source.xhtml#l00035">CanonicalUtils.hpp:35</a></div></div> +<div class="ttc" id="astructarmnn__driver_1_1_conversion_data_xhtml_acb740de896710dbc576f5eaf7a9cfeaa"><div class="ttname"><a href="structarmnn__driver_1_1_conversion_data.xhtml#acb740de896710dbc576f5eaf7a9cfeaa">armnn_driver::ConversionData::m_MemPools</a></div><div class="ttdeci">std::vector<::android::nn::RunTimePoolInfo > m_MemPools</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00062">ConversionUtils.hpp:62</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_output_slot_xhtml_a5ee4a6c9a2481245487b1b1a70d20fd0"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">armnn::IOutputSlot::SetTensorInfo</a></div><div class="ttdeci">virtual void SetTensorInfo(const TensorInfo &tensorInfo)=0</div></div> +<div class="ttc" id="a_model_to_i_network_transformer_8hpp_xhtml"><div class="ttname"><a href="_model_to_i_network_transformer_8hpp.xhtml">ModelToINetworkTransformer.hpp</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_afa2a6d5a1431289c92cea9cceeb174c9a505a83f220c02df2f85c3810cd9ceb38"><div class="ttname"><a href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a505a83f220c02df2f85c3810cd9ceb38">armnn_driver::ConversionResult::Success</a></div><div class="ttdeci">@ Success</div></div> +<div class="ttc" id="aclassarmnn__driver_1_1_model_to_i_network_transformer_xhtml_a40b4ed2ba597213863c7b380f8fd2e8a"><div class="ttname"><a href="classarmnn__driver_1_1_model_to_i_network_transformer.xhtml#a40b4ed2ba597213863c7b380f8fd2e8a">armnn_driver::ModelToINetworkTransformer::IsOperationSupported</a></div><div class="ttdeci">bool IsOperationSupported(uint32_t operationIndex) const</div><div class="ttdef"><b>Definition:</b> <a href="_model_to_i_network_transformer_8cpp_source.xhtml#l00195">ModelToINetworkTransformer.cpp:195</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a93f4874062e34819806d36b74c73dc61"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a93f4874062e34819806d36b74c73dc61">armnn_driver::GetTensorInfoForOperand</a></div><div class="ttdeci">armnn::TensorInfo GetTensorInfoForOperand(const Operand &operand)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00097">CanonicalUtils.cpp:97</a></div></div> <!-- start footer part --> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" href="dir_b4dbf96392bc72a402a7206cbda88a03.xhtml">shim</a></li><li class="navelem"><a class="el" href="dir_09eea26cf0279feb9fcfb9b796a3e57e.xhtml">sl</a></li><li class="navelem"><a class="el" href="dir_6de13b49022bb7cfc6557e28050d5cbe.xhtml">canonical</a></li><li class="navelem"><a class="el" href="_model_to_i_network_transformer_8cpp.xhtml">ModelToINetworkTransformer.cpp</a></li> - <li class="footer">Generated on Fri Feb 24 2023 10:24:24 for ArmNN by + <li class="footer">Generated on Wed Mar 22 2023 15:52:59 for ArmNN by <a href="http://www.doxygen.org/index.html"> - <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + <img class="footer" 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