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+<div class="title">CanonicalUtils.cpp</div>  </div>
+</div><!--header-->
+<div class="contents">
+<a href="_canonical_utils_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">//</span></div>
+<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved.</span></div>
+<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div>
+<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160; </div>
+<div class="line"><a name="l00006"></a><span class="lineno"><a class="line" href="_canonical_utils_8cpp.html#a7ce0df38eb467e59f209470c8f5ac4e6">    6</a></span>&#160;<span class="preprocessor">#define LOG_TAG &quot;arm-armnn-sl&quot;</span></div>
+<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160; </div>
+<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_canonical_utils_8hpp.html">CanonicalUtils.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160; </div>
+<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_utils_8hpp.html">armnn/Utils.hpp</a>&gt;</span></div>
+<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_assert_8hpp.html">armnn/utility/Assert.hpp</a>&gt;</span></div>
+<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_i_serializer_8hpp.html">armnnSerializer/ISerializer.hpp</a>&gt;</span></div>
+<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_permute_8hpp.html">armnnUtils/Permute.hpp</a>&gt;</span></div>
+<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160; </div>
+<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &lt;ghc/filesystem.hpp&gt;</span></div>
+<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="keyword">namespace </span>fs = ghc::filesystem;</div>
+<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="preprocessor">#include &lt;half/half.hpp&gt;</span></div>
+<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="preprocessor">#include &lt;log/log.h&gt;</span></div>
+<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160; </div>
+<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="preprocessor">#include &lt;cassert&gt;</span></div>
+<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="preprocessor">#include &lt;cerrno&gt;</span></div>
+<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="preprocessor">#include &lt;cinttypes&gt;</span></div>
+<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="preprocessor">#include &lt;cstdio&gt;</span></div>
+<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &lt;sstream&gt;</span></div>
+<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#include &lt;time.h&gt;</span></div>
+<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#include &lt;variant&gt;</span></div>
+<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160; </div>
+<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
+<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;{</div>
+<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">Half</a> = half_float::half; <span class="comment">//import half float implementation</span></div>
+<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;} <span class="comment">//namespace armnn</span></div>
+<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160; </div>
+<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespaceandroid.html">android</a>;</div>
+<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespaceandroid_1_1nn.html">android::nn</a>;</div>
+<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160; </div>
+<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn__driver.html">armnn_driver</a></div>
+<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;{</div>
+<div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.html#ae059aea66ee0867a204aa2f2d9abb42c">   38</a></span>&#160;<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> <a class="code" href="namespacearmnn__driver.html#ae059aea66ee0867a204aa2f2d9abb42c">g_DontPermute</a>{};</div>
+<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160; </div>
+<div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.html#a5665b88a0b22c6341dd8075048981689">   40</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn__driver.html#a5665b88a0b22c6341dd8075048981689">SwizzleAndroidNn4dTensorToArmNn</a>(<a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; tensorInfo,</div>
+<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;                                     <span class="keyword">const</span> <span class="keywordtype">void</span>* input,</div>
+<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;                                     <span class="keywordtype">void</span>* output,</div>
+<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;                                     <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a>&amp; mappings)</div>
+<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;{</div>
+<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    assert(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 4U);</div>
+<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160; </div>
+<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> dataType = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>();</div>
+<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    <span class="keywordflow">switch</span> (dataType)</div>
+<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    {</div>
+<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>:</div>
+<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</div>
+<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div>
+<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a>:</div>
+<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div>
+<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;        <span class="comment">// First swizzle tensor info</span></div>
+<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;        tensorInfo = <a class="code" href="namespacearmnn_utils.html#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a>(tensorInfo, mappings);</div>
+<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;        <span class="comment">// Then swizzle tensor data</span></div>
+<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;        <a class="code" href="namespacearmnn_utils.html#af3c74017185773dd61d8ca6662d65d43">armnnUtils::Permute</a>(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), mappings, input, output, <a class="code" href="namespacearmnn.html#aa02b9e06fb20fa3c13da0427e6ee5ab2">armnn::GetDataTypeSize</a>(dataType));</div>
+<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;        <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    <span class="keywordflow">default</span>:</div>
+<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;        VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;Unknown armnn::DataType for swizzling&quot;</span>;</div>
+<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;        assert(0);</div>
+<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    }</div>
+<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;}</div>
+<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160; </div>
+<div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.html#a96666c2945d7fe8c34aee30a449287d5">   66</a></span>&#160;<span class="keywordtype">void</span>* <a class="code" href="namespacearmnn__driver.html#a96666c2945d7fe8c34aee30a449287d5">GetMemoryFromPool</a>(DataLocation location, <span class="keyword">const</span> std::vector&lt;android::nn::RunTimePoolInfo&gt;&amp; memPools)</div>
+<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;{</div>
+<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <span class="comment">// find the location within the pool</span></div>
+<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    assert(location.poolIndex &lt; memPools.size());</div>
+<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160; </div>
+<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    <span class="keyword">const</span> android::nn::RunTimePoolInfo&amp; memPool = memPools[location.poolIndex];</div>
+<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    uint8_t* memPoolBuffer = memPool.getBuffer();</div>
+<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    uint8_t* memory = memPoolBuffer + location.offset;</div>
+<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    <span class="keywordflow">return</span> memory;</div>
+<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;}</div>
+<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160; </div>
+<div class="line"><a name="l00077"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.html#a915f2652854e417e26afc297f12e107c">   77</a></span>&#160;<span class="keywordtype">void</span>* <a class="code" href="namespacearmnn__driver.html#a915f2652854e417e26afc297f12e107c">GetMemoryFromPointer</a>(<span class="keyword">const</span> Request::Argument&amp; requestArg)</div>
+<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;{</div>
+<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    <span class="comment">// get the pointer memory</span></div>
+<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    <span class="keyword">auto</span> ptrMemory = std::visit([](std::variant&lt;const void*, void*&gt;&amp;&amp; memory)</div>
+<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;                                {</div>
+<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;                                    <span class="keywordflow">if</span> (std::holds_alternative&lt;const void*&gt;(memory))</div>
+<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;                                    {</div>
+<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;                                        <span class="keyword">auto</span> ptr = std::get&lt;const void*&gt;(memory);</div>
+<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;                                        <span class="keyword">auto</span> ptrMemory = <span class="keyword">static_cast&lt;</span><span class="keyword">const </span>uint8_t*<span class="keyword">&gt;</span>(ptr);</div>
+<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;                                        <span class="keywordflow">return</span> <span class="keyword">const_cast&lt;</span>uint8_t*<span class="keyword">&gt;</span>(ptrMemory);</div>
+<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;                                    }</div>
+<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;                                    <span class="keywordflow">else</span></div>
+<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;                                    {</div>
+<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;                                        <span class="keyword">auto</span> ptr = std::get&lt;void*&gt;(memory);</div>
+<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;                                        <span class="keywordflow">return</span> <span class="keyword">static_cast&lt;</span>uint8_t*<span class="keyword">&gt;</span>(ptr);</div>
+<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;                                    }</div>
+<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;                                }, requestArg.location.pointer);</div>
+<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    <span class="keywordflow">return</span> ptrMemory;</div>
+<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;}</div>
+<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160; </div>
+<div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.html#a93f4874062e34819806d36b74c73dc61">   97</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> <a class="code" href="namespacearmnn__driver.html#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>&amp; operand)</div>
+<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;{</div>
+<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</div>
+<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    <span class="keywordtype">bool</span> perChannel = <span class="keyword">false</span>;</div>
+<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    <span class="keywordtype">bool</span> isScalar   = <span class="keyword">false</span>;</div>
+<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160; </div>
+<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> type;</div>
+<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    <span class="keywordflow">switch</span> (operand.type)</div>
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+<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;        <span class="keywordflow">case</span> OperandType::TENSOR_BOOL8:</div>
+<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;            type = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>;</div>
+<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;            <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;        <span class="keywordflow">case</span> OperandType::TENSOR_FLOAT32:</div>
+<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;            type = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>;</div>
+<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;            <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;        <span class="keywordflow">case</span> OperandType::TENSOR_FLOAT16:</div>
+<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;            type = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>;</div>
+<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;            <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;        <span class="keywordflow">case</span> OperandType::TENSOR_QUANT8_ASYMM:</div>
+<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;            type = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>;</div>
+<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;            <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;        <span class="keywordflow">case</span> OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL:</div>
+<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;            perChannel=<span class="keyword">true</span>;</div>
+<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;            <a class="code" href="_utils_8hpp.html#abbf421eb1186af0d505648ed2ea54a00">ARMNN_FALLTHROUGH</a>;</div>
+<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;        <span class="keywordflow">case</span> OperandType::TENSOR_QUANT8_SYMM:</div>
+<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;            type = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a>;</div>
+<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;            <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;        <span class="keywordflow">case</span> OperandType::TENSOR_QUANT16_SYMM:</div>
+<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;            type = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>;</div>
+<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;            <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;        <span class="keywordflow">case</span> OperandType::TENSOR_INT32:</div>
+<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;            type = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>;</div>
+<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;            <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;        <span class="keywordflow">case</span> OperandType::INT32:</div>
+<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;            type = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>;</div>
+<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;            isScalar = <span class="keyword">true</span>;</div>
+<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;            <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;        <span class="keywordflow">case</span> OperandType::TENSOR_QUANT8_ASYMM_SIGNED:</div>
+<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;            type = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>;</div>
+<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;            <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;        <span class="keywordflow">default</span>:</div>
+<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;            <span class="keywordflow">throw</span> <a class="code" href="classarmnn__driver_1_1_unsupported_operand.html">UnsupportedOperand&lt;OperandType&gt;</a>(operand.type);</div>
+<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;    }</div>
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+<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    <span class="keywordflow">if</span> (isScalar)</div>
+<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    {</div>
+<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;        ret = <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>(<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Dimensionality::Scalar</a>), type);</div>
+<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    }</div>
+<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    <span class="keywordflow">else</span></div>
+<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    {</div>
+<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;        <span class="keywordflow">if</span> (operand.dimensions.size() == 0)</div>
+<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;        {</div>
+<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;            <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> tensorShape(Dimensionality::NotSpecified);</div>
+<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;            ret = <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(tensorShape, type);</div>
+<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;        }</div>
+<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;        <span class="keywordflow">else</span></div>
+<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;        {</div>
+<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;            std::vector&lt;unsigned char&gt; dimensionsSpecificity(operand.dimensions.size(), <span class="keyword">true</span>);</div>
+<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;            <span class="keywordtype">int</span> count = 0;</div>
+<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;            std::for_each(operand.dimensions.data(),</div>
+<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;                          operand.dimensions.data() +  operand.dimensions.size(),</div>
+<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;                          [&amp;](<span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> val)</div>
+<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;                          {</div>
+<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;                              if (val == 0)</div>
+<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;                              {</div>
+<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;                                  dimensionsSpecificity[count] = false;</div>
+<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;                              }</div>
+<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;                              count++;</div>
+<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;                          });</div>
+<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160; </div>
+<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;            <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> tensorShape(operand.dimensions.size(),</div>
+<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;                                    operand.dimensions.data(),</div>
+<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;                                    <span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span><span class="keywordtype">bool</span> *<span class="keyword">&gt;</span>(dimensionsSpecificity.data()));</div>
+<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;            ret = <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(tensorShape, type);</div>
+<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;        }</div>
+<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;    }</div>
+<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160; </div>
+<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;    <span class="keywordflow">if</span> (perChannel)</div>
+<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    {</div>
+<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;        <span class="comment">// ExtraParams is expected to be of type channelQuant</span></div>
+<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;        <span class="keyword">const</span> <span class="keyword">auto</span>&amp; perAxisQuantParams = std::get&lt;Operand::SymmPerChannelQuantParams&gt;(operand.extraParams);</div>
+<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160; </div>
+<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;        ret.SetQuantizationScales(perAxisQuantParams.scales);</div>
+<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;        ret.SetQuantizationDim(MakeOptional&lt;unsigned int&gt;(perAxisQuantParams.channelDim));</div>
+<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;    }</div>
+<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;    <span class="keywordflow">else</span></div>
+<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;    {</div>
+<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;        ret.SetQuantizationScale(operand.scale);</div>
+<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;        ret.SetQuantizationOffset(operand.zeroPoint);</div>
+<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;    }</div>
+<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;    <span class="keywordflow">return</span> ret;</div>
+<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;}</div>
+<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160; </div>
+<div class="line"><a name="l00191"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.html#ac0532f3c7d143a04aee7f5991ee5d381">  191</a></span>&#160;std::string <a class="code" href="namespacearmnn__driver.html#ac0532f3c7d143a04aee7f5991ee5d381">GetOperandSummary</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>&amp; operand)</div>
+<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;{</div>
+<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;    std::stringstream ss;</div>
+<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;    ss &lt;&lt; <span class="stringliteral">&quot;operand dimensions: [ &quot;</span>;</div>
+<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; operand.dimensions.size(); ++i)</div>
+<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;    {</div>
+<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;        ss &lt;&lt; operand.dimensions[i] &lt;&lt; <span class="stringliteral">&quot; &quot;</span>;</div>
+<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    }</div>
+<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;    ss &lt;&lt; <span class="stringliteral">&quot;] operand type: &quot;</span> &lt;&lt; operand.type;</div>
+<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;    <span class="keywordflow">return</span> ss.str();</div>
+<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;}</div>
+<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160; </div>
+<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> TensorType&gt;</div>
+<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearmnn__driver.html#a34209101a89c1ae72081a0fb53725852">DumpElementFunction</a> = void (*)(<span class="keyword">const</span> TensorType&amp; tensor,</div>
+<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;                                     <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> elementIndex,</div>
+<div class="line"><a name="l00206"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.html#a34209101a89c1ae72081a0fb53725852">  206</a></span>&#160;                                     std::ofstream&amp; fileStream);</div>
+<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160; </div>
+<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;<span class="keyword">namespace</span></div>
+<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;{</div>
+<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> TensorType, <span class="keyword">typename</span> ElementType, <span class="keyword">typename</span> Pr<span class="keywordtype">int</span>ableType = ElementType&gt;</div>
+<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;<span class="keywordtype">void</span> DumpTensorElement(<span class="keyword">const</span> TensorType&amp; tensor, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> elementIndex, std::ofstream&amp; fileStream)</div>
+<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;{</div>
+<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;    <span class="keyword">const</span> ElementType* elements = <span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span>ElementType*<span class="keyword">&gt;</span>(tensor.GetMemoryArea());</div>
+<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;    fileStream &lt;&lt; static_cast&lt;PrintableType&gt;(elements[elementIndex]) &lt;&lt; <span class="stringliteral">&quot; &quot;</span>;</div>
+<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;}</div>
+<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160; </div>
+<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;} <span class="comment">// namespace</span></div>
+<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> TensorType&gt;</div>
+<div class="line"><a name="l00219"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.html#aa25bddb175983b2d3e0965440323d789">  219</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn__driver.html#aa25bddb175983b2d3e0965440323d789">DumpTensor</a>(<span class="keyword">const</span> std::string&amp; dumpDir,</div>
+<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;                <span class="keyword">const</span> std::string&amp; requestName,</div>
+<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;                <span class="keyword">const</span> std::string&amp; tensorName,</div>
+<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;                <span class="keyword">const</span> TensorType&amp; tensor)</div>
+<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;{</div>
+<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;    <span class="comment">// The dump directory must exist in advance.</span></div>
+<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;    fs::path dumpPath = dumpDir;</div>
+<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;    <span class="keyword">const</span> fs::path fileName = dumpPath / (requestName + <span class="stringliteral">&quot;_&quot;</span> + tensorName + <span class="stringliteral">&quot;.dump&quot;</span>);</div>
+<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160; </div>
+<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;    std::ofstream fileStream;</div>
+<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;    fileStream.open(fileName.c_str(), std::ofstream::out | std::ofstream::trunc);</div>
+<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160; </div>
+<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;    <span class="keywordflow">if</span> (!fileStream.good())</div>
+<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;    {</div>
+<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;        VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;Could not open file %s for writing&quot;</span> &lt;&lt; fileName.c_str();</div>
+<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;        <span class="keywordflow">return</span>;</div>
+<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    }</div>
+<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160; </div>
+<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;    <a class="code" href="namespacearmnn__driver.html#a34209101a89c1ae72081a0fb53725852">DumpElementFunction&lt;TensorType&gt;</a> dumpElementFunction = <span class="keyword">nullptr</span>;</div>
+<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160; </div>
+<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    <span class="keywordflow">switch</span> (tensor.GetDataType())</div>
+<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;    {</div>
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+<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;        {</div>
+<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;            dumpElementFunction = &amp;DumpTensorElement&lt;TensorType, float&gt;;</div>
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+<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;        {</div>
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+<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;        }</div>
+<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>:</div>
+<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;        {</div>
+<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;            dumpElementFunction = &amp;DumpTensorElement&lt;TensorType, int32_t&gt;;</div>
+<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;            <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;        }</div>
+<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>:</div>
+<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;        {</div>
+<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;            dumpElementFunction = &amp;DumpTensorElement&lt;TensorType, armnn::Half&gt;;</div>
+<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;            <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;        }</div>
+<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div>
+<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;        {</div>
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+<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;            <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;        }</div>
+<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>:</div>
+<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;        {</div>
+<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;            dumpElementFunction = &amp;DumpTensorElement&lt;TensorType, bool&gt;;</div>
+<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;            <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;        }</div>
+<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;        <span class="keywordflow">default</span>:</div>
+<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;        {</div>
+<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;            dumpElementFunction = <span class="keyword">nullptr</span>;</div>
+<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;        }</div>
+<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;    }</div>
+<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160; </div>
+<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;    <span class="keywordflow">if</span> (dumpElementFunction != <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;    {</div>
+<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDimensions = tensor.GetNumDimensions();</div>
+<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> shape = tensor.GetShape();</div>
+<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160; </div>
+<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;        <span class="keywordflow">if</span> (!shape.<a class="code" href="classarmnn_1_1_tensor_shape.html#acccb75bd1d68a81f6ddd61687f51c5a1">AreAllDimensionsSpecified</a>())</div>
+<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;        {</div>
+<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;            fileStream &lt;&lt; <span class="stringliteral">&quot;Cannot dump tensor elements: not all dimensions are specified&quot;</span> &lt;&lt; std::endl;</div>
+<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;            <span class="keywordflow">return</span>;</div>
+<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;        }</div>
+<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;        fileStream &lt;&lt; <span class="stringliteral">&quot;# Number of elements &quot;</span> &lt;&lt; tensor.<a class="code" href="classarmnn_1_1_tensor_shape.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() &lt;&lt; std::endl;</div>
+<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160; </div>
+<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;        <span class="keywordflow">if</span> (numDimensions == 0)</div>
+<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;        {</div>
+<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;            fileStream &lt;&lt; <span class="stringliteral">&quot;# Shape []&quot;</span> &lt;&lt; std::endl;</div>
+<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;            <span class="keywordflow">return</span>;</div>
+<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;        }</div>
+<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;        fileStream &lt;&lt; <span class="stringliteral">&quot;# Shape [&quot;</span> &lt;&lt; shape[0];</div>
+<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 1; d &lt; numDimensions; ++d)</div>
+<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;        {</div>
+<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;            fileStream &lt;&lt; <span class="stringliteral">&quot;,&quot;</span> &lt;&lt; shape[d];</div>
+<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;        }</div>
+<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;        fileStream &lt;&lt; <span class="stringliteral">&quot;]&quot;</span> &lt;&lt; std::endl;</div>
+<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;        fileStream &lt;&lt; <span class="stringliteral">&quot;Each line contains the data of each of the elements of dimension0. In NCHW and NHWC, each line&quot;</span></div>
+<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;                      <span class="stringliteral">&quot; will be a batch&quot;</span> &lt;&lt; std::endl &lt;&lt; std::endl;</div>
+<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160; </div>
+<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;        <span class="comment">// Split will create a new line after all elements of the first dimension</span></div>
+<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;        <span class="comment">// (in a 4, 3, 2, 3 tensor, there will be 4 lines of 18 elements)</span></div>
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+<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;        <span class="keywordflow">if</span> (numDimensions == 1)</div>
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+<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160; </div>
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+<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> elementIndex = 0; elementIndex &lt; tensor.GetNumElements(); ++elementIndex)</div>
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+<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160; </div>
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+<div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;}</div>
+<div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160; </div>
+<div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;<span class="keyword">template</span> <span class="keywordtype">void</span> DumpTensor&lt;armnn::ConstTensor&gt;(<span class="keyword">const</span> std::string&amp; dumpDir,</div>
+<div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;                                             <span class="keyword">const</span> std::string&amp; requestName,</div>
+<div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;                                             <span class="keyword">const</span> std::string&amp; tensorName,</div>
+<div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;                                             <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a>&amp; tensor);</div>
+<div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160; </div>
+<div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;<span class="keyword">template</span> <span class="keywordtype">void</span> DumpTensor&lt;armnn::Tensor&gt;(<span class="keyword">const</span> std::string&amp; dumpDir,</div>
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+<div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;                                 <a class="code" href="namespacearmnn.html#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> networkId,</div>
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+<div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;{</div>
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+<div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;    <span class="keywordflow">if</span> (!gpuProfilingEnabled)</div>
+<div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;    {</div>
+<div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;        <span class="keywordflow">return</span>;</div>
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+<div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160; </div>
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+<div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;    <span class="keywordflow">if</span> (dumpDir.empty())</div>
+<div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;    {</div>
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+<div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160; </div>
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+<div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160; </div>
+<div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;    <span class="comment">// Open the ouput file for writing.</span></div>
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+<div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160; </div>
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+<div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;    {</div>
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+<div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;    <span class="comment">// Write the profiling info to a JSON file.</span></div>
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+<div class="line"><a name="l00532"></a><span class="lineno">  532</span>&#160; </div>
+<div class="line"><a name="l00533"></a><span class="lineno">  533</span>&#160;    result &lt;&lt; <span class="stringliteral">&quot;Inputs: &quot;</span>;</div>
+<div class="line"><a name="l00534"></a><span class="lineno">  534</span>&#160;    <span class="keywordflow">for</span> (uint32_t i = 0; i &lt; model.main.inputIndexes.size(); i++)</div>
+<div class="line"><a name="l00535"></a><span class="lineno">  535</span>&#160;    {</div>
+<div class="line"><a name="l00536"></a><span class="lineno">  536</span>&#160;        result &lt;&lt; <a class="code" href="namespacearmnn__driver.html#ac0532f3c7d143a04aee7f5991ee5d381">GetOperandSummary</a>(model.main.operands[model.main.inputIndexes[i]]) &lt;&lt; <span class="stringliteral">&quot;, &quot;</span>;</div>
+<div class="line"><a name="l00537"></a><span class="lineno">  537</span>&#160;    }</div>
+<div class="line"><a name="l00538"></a><span class="lineno">  538</span>&#160;    result &lt;&lt; std::endl;</div>
+<div class="line"><a name="l00539"></a><span class="lineno">  539</span>&#160; </div>
+<div class="line"><a name="l00540"></a><span class="lineno">  540</span>&#160;    result &lt;&lt; <span class="stringliteral">&quot;Operations: &quot;</span>;</div>
+<div class="line"><a name="l00541"></a><span class="lineno">  541</span>&#160;    <span class="keywordflow">for</span> (uint32_t i = 0; i &lt; model.main.operations.size(); i++)</div>
+<div class="line"><a name="l00542"></a><span class="lineno">  542</span>&#160;    {</div>
+<div class="line"><a name="l00543"></a><span class="lineno">  543</span>&#160;        result &lt;&lt; model.main.operations[i].type &lt;&lt; <span class="stringliteral">&quot;, &quot;</span>;</div>
+<div class="line"><a name="l00544"></a><span class="lineno">  544</span>&#160;    }</div>
+<div class="line"><a name="l00545"></a><span class="lineno">  545</span>&#160;    result &lt;&lt; std::endl;</div>
+<div class="line"><a name="l00546"></a><span class="lineno">  546</span>&#160; </div>
+<div class="line"><a name="l00547"></a><span class="lineno">  547</span>&#160;    result &lt;&lt; <span class="stringliteral">&quot;Outputs: &quot;</span>;</div>
+<div class="line"><a name="l00548"></a><span class="lineno">  548</span>&#160;    <span class="keywordflow">for</span> (uint32_t i = 0; i &lt; model.main.outputIndexes.size(); i++)</div>
+<div class="line"><a name="l00549"></a><span class="lineno">  549</span>&#160;    {</div>
+<div class="line"><a name="l00550"></a><span class="lineno">  550</span>&#160;        result &lt;&lt; <a class="code" href="namespacearmnn__driver.html#ac0532f3c7d143a04aee7f5991ee5d381">GetOperandSummary</a>(model.main.operands[model.main.outputIndexes[i]]) &lt;&lt; <span class="stringliteral">&quot;, &quot;</span>;</div>
+<div class="line"><a name="l00551"></a><span class="lineno">  551</span>&#160;    }</div>
+<div class="line"><a name="l00552"></a><span class="lineno">  552</span>&#160;    result &lt;&lt; std::endl;</div>
+<div class="line"><a name="l00553"></a><span class="lineno">  553</span>&#160; </div>
+<div class="line"><a name="l00554"></a><span class="lineno">  554</span>&#160;    <span class="keywordflow">return</span> result.str();</div>
+<div class="line"><a name="l00555"></a><span class="lineno">  555</span>&#160;}</div>
+<div class="line"><a name="l00556"></a><span class="lineno">  556</span>&#160; </div>
+<div class="line"><a name="l00557"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.html#a419cd7b9bad83f31f6db8ba9a3b9517a">  557</a></span>&#160;std::string <a class="code" href="namespacearmnn__driver.html#a419cd7b9bad83f31f6db8ba9a3b9517a">GetFileTimestamp</a>()</div>
+<div class="line"><a name="l00558"></a><span class="lineno">  558</span>&#160;{</div>
+<div class="line"><a name="l00559"></a><span class="lineno">  559</span>&#160;    <span class="comment">// used to get a timestamp to name diagnostic files (the ArmNN serialized graph</span></div>
+<div class="line"><a name="l00560"></a><span class="lineno">  560</span>&#160;    <span class="comment">// and getSupportedOperations.txt files)</span></div>
+<div class="line"><a name="l00561"></a><span class="lineno">  561</span>&#160;    timespec ts;</div>
+<div class="line"><a name="l00562"></a><span class="lineno">  562</span>&#160;    <span class="keywordtype">int</span> iRet = clock_gettime(CLOCK_MONOTONIC_RAW, &amp;ts);</div>
+<div class="line"><a name="l00563"></a><span class="lineno">  563</span>&#160;    std::stringstream ss;</div>
+<div class="line"><a name="l00564"></a><span class="lineno">  564</span>&#160;    <span class="keywordflow">if</span> (iRet == 0)</div>
+<div class="line"><a name="l00565"></a><span class="lineno">  565</span>&#160;    {</div>
+<div class="line"><a name="l00566"></a><span class="lineno">  566</span>&#160;        ss &lt;&lt; std::to_string(ts.tv_sec) &lt;&lt; <span class="stringliteral">&quot;_&quot;</span> &lt;&lt; std::to_string(ts.tv_nsec);</div>
+<div class="line"><a name="l00567"></a><span class="lineno">  567</span>&#160;    }</div>
+<div class="line"><a name="l00568"></a><span class="lineno">  568</span>&#160;    <span class="keywordflow">else</span></div>
+<div class="line"><a name="l00569"></a><span class="lineno">  569</span>&#160;    {</div>
+<div class="line"><a name="l00570"></a><span class="lineno">  570</span>&#160;        VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;clock_gettime failed with errno &quot;</span> &lt;&lt;</div>
+<div class="line"><a name="l00571"></a><span class="lineno">  571</span>&#160;            std::to_string(errno).c_str() &lt;&lt; <span class="stringliteral">&quot; : &quot;</span> &lt;&lt;</div>
+<div class="line"><a name="l00572"></a><span class="lineno">  572</span>&#160;            std::strerror(errno);</div>
+<div class="line"><a name="l00573"></a><span class="lineno">  573</span>&#160;    }</div>
+<div class="line"><a name="l00574"></a><span class="lineno">  574</span>&#160;    <span class="keywordflow">return</span> ss.str();</div>
+<div class="line"><a name="l00575"></a><span class="lineno">  575</span>&#160;}</div>
+<div class="line"><a name="l00576"></a><span class="lineno">  576</span>&#160; </div>
+<div class="line"><a name="l00577"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.html#a3d30e31a46482fbc714fc34e0d5a1c90">  577</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn__driver.html#a3d30e31a46482fbc714fc34e0d5a1c90">RenameExportedFiles</a>(<span class="keyword">const</span> std::string&amp; existingSerializedFileName,</div>
+<div class="line"><a name="l00578"></a><span class="lineno">  578</span>&#160;                         <span class="keyword">const</span> std::string&amp; existingDotFileName,</div>
+<div class="line"><a name="l00579"></a><span class="lineno">  579</span>&#160;                         <span class="keyword">const</span> std::string&amp; dumpDir,</div>
+<div class="line"><a name="l00580"></a><span class="lineno">  580</span>&#160;                         <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> networkId)</div>
+<div class="line"><a name="l00581"></a><span class="lineno">  581</span>&#160;{</div>
+<div class="line"><a name="l00582"></a><span class="lineno">  582</span>&#160;    <span class="keywordflow">if</span> (dumpDir.empty())</div>
+<div class="line"><a name="l00583"></a><span class="lineno">  583</span>&#160;    {</div>
+<div class="line"><a name="l00584"></a><span class="lineno">  584</span>&#160;        <span class="keywordflow">return</span>;</div>
+<div class="line"><a name="l00585"></a><span class="lineno">  585</span>&#160;    }</div>
+<div class="line"><a name="l00586"></a><span class="lineno">  586</span>&#160;    <a class="code" href="namespacearmnn__driver.html#a00b317cd97319ac7b6a248a768ceb201">RenameFile</a>(existingSerializedFileName, std::string(<span class="stringliteral">&quot;_network.armnn&quot;</span>), dumpDir, networkId);</div>
+<div class="line"><a name="l00587"></a><span class="lineno">  587</span>&#160;    <a class="code" href="namespacearmnn__driver.html#a00b317cd97319ac7b6a248a768ceb201">RenameFile</a>(existingDotFileName, std::string(<span class="stringliteral">&quot;_networkgraph.dot&quot;</span>), dumpDir, networkId);</div>
+<div class="line"><a name="l00588"></a><span class="lineno">  588</span>&#160;}</div>
+<div class="line"><a name="l00589"></a><span class="lineno">  589</span>&#160; </div>
+<div class="line"><a name="l00590"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.html#a00b317cd97319ac7b6a248a768ceb201">  590</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn__driver.html#a00b317cd97319ac7b6a248a768ceb201">RenameFile</a>(<span class="keyword">const</span> std::string&amp; existingName,</div>
+<div class="line"><a name="l00591"></a><span class="lineno">  591</span>&#160;                <span class="keyword">const</span> std::string&amp; extension,</div>
+<div class="line"><a name="l00592"></a><span class="lineno">  592</span>&#160;                <span class="keyword">const</span> std::string&amp; dumpDir,</div>
+<div class="line"><a name="l00593"></a><span class="lineno">  593</span>&#160;                <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> networkId)</div>
+<div class="line"><a name="l00594"></a><span class="lineno">  594</span>&#160;{</div>
+<div class="line"><a name="l00595"></a><span class="lineno">  595</span>&#160;    <span class="keywordflow">if</span> (existingName.empty() || dumpDir.empty())</div>
+<div class="line"><a name="l00596"></a><span class="lineno">  596</span>&#160;    {</div>
+<div class="line"><a name="l00597"></a><span class="lineno">  597</span>&#160;        <span class="keywordflow">return</span>;</div>
+<div class="line"><a name="l00598"></a><span class="lineno">  598</span>&#160;    }</div>
+<div class="line"><a name="l00599"></a><span class="lineno">  599</span>&#160; </div>
+<div class="line"><a name="l00600"></a><span class="lineno">  600</span>&#160;    fs::path dumpPath = dumpDir;</div>
+<div class="line"><a name="l00601"></a><span class="lineno">  601</span>&#160;    <span class="keyword">const</span> fs::path newFileName = dumpPath / (std::to_string(networkId) + extension);</div>
+<div class="line"><a name="l00602"></a><span class="lineno">  602</span>&#160;    <span class="keywordtype">int</span> iRet = rename(existingName.c_str(), newFileName.c_str());</div>
+<div class="line"><a name="l00603"></a><span class="lineno">  603</span>&#160;    <span class="keywordflow">if</span> (iRet != 0)</div>
+<div class="line"><a name="l00604"></a><span class="lineno">  604</span>&#160;    {</div>
+<div class="line"><a name="l00605"></a><span class="lineno">  605</span>&#160;        std::stringstream ss;</div>
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+<div class="line"><a name="l00607"></a><span class="lineno">  607</span>&#160;           &lt;&lt; std::to_string(errno) &lt;&lt; <span class="stringliteral">&quot; : &quot;</span> &lt;&lt; std::strerror(errno);</div>
+<div class="line"><a name="l00608"></a><span class="lineno">  608</span>&#160;        VLOG(DRIVER) &lt;&lt; ss.str().c_str();</div>
+<div class="line"><a name="l00609"></a><span class="lineno">  609</span>&#160;    }</div>
+<div class="line"><a name="l00610"></a><span class="lineno">  610</span>&#160;}</div>
+<div class="line"><a name="l00611"></a><span class="lineno">  611</span>&#160; </div>
+<div class="line"><a name="l00612"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.html#a7c1c80ee0f432b6b621c40571410195a">  612</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn__driver.html#a7c1c80ee0f432b6b621c40571410195a">CommitPools</a>(std::vector&lt;::android::nn::RunTimePoolInfo&gt;&amp; memPools)</div>
+<div class="line"><a name="l00613"></a><span class="lineno">  613</span>&#160;{</div>
+<div class="line"><a name="l00614"></a><span class="lineno">  614</span>&#160;    <span class="comment">// Commit output buffers.</span></div>
+<div class="line"><a name="l00615"></a><span class="lineno">  615</span>&#160;    <span class="comment">// Note that we update *all* pools, even if they aren&#39;t actually used as outputs -</span></div>
+<div class="line"><a name="l00616"></a><span class="lineno">  616</span>&#160;    <span class="comment">// this is simpler and is what the CpuExecutor does.</span></div>
+<div class="line"><a name="l00617"></a><span class="lineno">  617</span>&#160;    <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; pool : memPools)</div>
+<div class="line"><a name="l00618"></a><span class="lineno">  618</span>&#160;    {</div>
+<div class="line"><a name="l00619"></a><span class="lineno">  619</span>&#160;        <span class="comment">// Type android::nn::RunTimePoolInfo has changed between Android P &amp; Q and Android R, where</span></div>
+<div class="line"><a name="l00620"></a><span class="lineno">  620</span>&#160;        <span class="comment">// update() has been removed and flush() added.</span></div>
+<div class="line"><a name="l00621"></a><span class="lineno">  621</span>&#160;        pool.flush();</div>
+<div class="line"><a name="l00622"></a><span class="lineno">  622</span>&#160;    }</div>
+<div class="line"><a name="l00623"></a><span class="lineno">  623</span>&#160;}</div>
+<div class="line"><a name="l00624"></a><span class="lineno">  624</span>&#160;} <span class="comment">// namespace armnn_driver</span></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<div class="ttc" id="a_assert_8hpp_html_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00014">Assert.hpp:14</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div><div class="ttdeci">@ Boolean</div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_html"><div class="ttname"><a href="classarmnn_1_1_tensor.html">armnn::Tensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and a mutable backing store.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00319">Tensor.hpp:319</a></div></div>
+<div class="ttc" id="anamespacearmnn__driver_html_aa313ae79f70102e3451d45d3387c2e46"><div class="ttname"><a href="namespacearmnn__driver.html#aa313ae79f70102e3451d45d3387c2e46">armnn_driver::DumpJsonProfilingIfRequired</a></div><div class="ttdeci">void DumpJsonProfilingIfRequired(bool gpuProfilingEnabled, const std::string &amp;dumpDir, armnn::NetworkId networkId, const armnn::IProfiler *profiler)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00352">CanonicalUtils.cpp:352</a></div></div>
+<div class="ttc" id="anamespacearmnn__driver_html_aa9b4bc8d4cfb04be14771dbb1bc1a1ac"><div class="ttname"><a href="namespacearmnn__driver.html#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.html#l00044">ConversionUtils.hpp:44</a></div></div>
+<div class="ttc" id="anamespacearmnn__driver_html_a208149d5c08f84debf8b265bb508fe02"><div class="ttname"><a href="namespacearmnn__driver.html#a208149d5c08f84debf8b265bb508fe02">armnn_driver::IsDynamicTensor</a></div><div class="ttdeci">bool IsDynamicTensor(const armnn::TensorInfo &amp;tensorInfo)</div><div class="ttdoc">Checks if a tensor info represents a dynamic tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00488">CanonicalUtils.cpp:488</a></div></div>
+<div class="ttc" id="anamespacearmnn__driver_html_a7c1c80ee0f432b6b621c40571410195a"><div class="ttname"><a href="namespacearmnn__driver.html#a7c1c80ee0f432b6b621c40571410195a">armnn_driver::CommitPools</a></div><div class="ttdeci">void CommitPools(std::vector&lt;::android::nn::RunTimePoolInfo &gt; &amp;memPools)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00612">CanonicalUtils.cpp:612</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div>
+<div class="ttc" id="anamespacearmnn__driver_html_ab3c135a0d4b1152f6b989ea6afddd6bc"><div class="ttname"><a href="namespacearmnn__driver.html#ab3c135a0d4b1152f6b989ea6afddd6bc">armnn_driver::isQuantizedOperand</a></div><div class="ttdeci">bool isQuantizedOperand(const OperandType &amp;operandType)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00507">CanonicalUtils.cpp:507</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_a26794f014974a6f963a8925de07bffeb"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#a26794f014974a6f963a8925de07bffeb">armnn::IOptimizedNetwork::SerializeToDot</a></div><div class="ttdeci">Status SerializeToDot(std::ostream &amp;stream) const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00698">Network.cpp:698</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00195">Tensor.hpp:195</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div>
+<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html">armnn::IOptimizedNetwork</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00886">INetwork.hpp:886</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_acccb75bd1d68a81f6ddd61687f51c5a1"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#acccb75bd1d68a81f6ddd61687f51c5a1">armnn::TensorShape::AreAllDimensionsSpecified</a></div><div class="ttdeci">bool AreAllDimensionsSpecified() const</div><div class="ttdoc">Checks if there is at least one dimension not specified.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00241">Tensor.cpp:241</a></div></div>
+<div class="ttc" id="anamespacearmnn_serializer_html"><div class="ttname"><a href="namespacearmnn_serializer.html">armnnSerializer</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_serializer_8hpp_source.html#l00011">ISerializer.hpp:11</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div><div class="ttdeci">@ QAsymmU8</div></div>
+<div class="ttc" id="anamespacearmnn__driver_html_a5304cf930377fc082e7494d20de2be12"><div class="ttname"><a href="namespacearmnn__driver.html#a5304cf930377fc082e7494d20de2be12">armnn_driver::ExportNetworkGraphToDotFile</a></div><div class="ttdeci">std::string ExportNetworkGraphToDotFile(const armnn::IOptimizedNetwork &amp;optimizedNetwork, const std::string &amp;dumpDir)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00389">CanonicalUtils.cpp:389</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div><div class="ttdeci">@ QSymmS8</div></div>
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+<div class="ttc" id="anamespacearmnn_html_a0b49aa352b84d572942185ce72cef751"><div class="ttname"><a href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.html#l00022">Half.hpp:22</a></div></div>
+<div class="ttc" id="anamespacearmnn_utils_html_abeaf4f6785039866fd075f4569ba8e84"><div class="ttname"><a href="namespacearmnn_utils.html#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a></div><div class="ttdeci">armnn::TensorShape Permuted(const armnn::TensorShape &amp;srcShape, const armnn::PermutationVector &amp;mappings)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_8cpp_source.html#l00098">Permute.cpp:98</a></div></div>
+<div class="ttc" id="anamespacearmnn__driver_html_ae059aea66ee0867a204aa2f2d9abb42c"><div class="ttname"><a href="namespacearmnn__driver.html#ae059aea66ee0867a204aa2f2d9abb42c">armnn_driver::g_DontPermute</a></div><div class="ttdeci">const armnn::PermutationVector g_DontPermute</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00038">CanonicalUtils.cpp:38</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div><div class="ttdeci">@ QSymmS16</div></div>
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+<div class="ttc" id="a_i_serializer_8hpp_html"><div class="ttname"><a href="_i_serializer_8hpp.html">ISerializer.hpp</a></div></div>
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+<div class="ttc" id="a_canonical_utils_8hpp_html"><div class="ttname"><a href="_canonical_utils_8hpp.html">CanonicalUtils.hpp</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_a0d8160388a127c1a23b37bc88dc6e2ec"><div class="ttname"><a href="namespacearmnn.html#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a></div><div class="ttdeci">int NetworkId</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00035">IRuntime.hpp:35</a></div></div>
+<div class="ttc" id="anamespacearmnn__driver_html_a5665b88a0b22c6341dd8075048981689"><div class="ttname"><a href="namespacearmnn__driver.html#a5665b88a0b22c6341dd8075048981689">armnn_driver::SwizzleAndroidNn4dTensorToArmNn</a></div><div class="ttdeci">void SwizzleAndroidNn4dTensorToArmNn(armnn::TensorInfo &amp;tensorInfo, const void *input, void *output, const armnn::PermutationVector &amp;mappings)</div><div class="ttdoc">Swizzles tensor data in input according to the dimension mappings.</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00040">CanonicalUtils.cpp:40</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div><div class="ttdeci">@ Float16</div></div>
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+<div class="ttc" id="anamespacearmnn__driver_html"><div class="ttname"><a href="namespacearmnn__driver.html">armnn_driver</a></div><div class="ttdoc">Helper classes.</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_device_8cpp_source.html#l00037">ArmnnDevice.cpp:37</a></div></div>
+<div class="ttc" id="anamespacearmnn__driver_html_a96666c2945d7fe8c34aee30a449287d5"><div class="ttname"><a href="namespacearmnn__driver.html#a96666c2945d7fe8c34aee30a449287d5">armnn_driver::GetMemoryFromPool</a></div><div class="ttdeci">void * GetMemoryFromPool(DataLocation location, const std::vector&lt; android::nn::RunTimePoolInfo &gt; &amp;memPools)</div><div class="ttdoc">Returns a pointer to a specific location in a pool`.</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00066">CanonicalUtils.cpp:66</a></div></div>
+<div class="ttc" id="a_utils_8hpp_html"><div class="ttname"><a href="_utils_8hpp.html">Utils.hpp</a></div></div>
+<div class="ttc" id="anamespacearmnn__driver_html_a923b39ec5f83672f50289cbaf5de6798"><div class="ttname"><a href="namespacearmnn__driver.html#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.html#l00043">ConversionUtils.hpp:43</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00048">Types.hpp:48</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74"><div class="ttname"><a href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Dimensionality::Scalar</a></div><div class="ttdeci">@ Scalar</div></div>
+<div class="ttc" id="aclassarmnn__driver_1_1_unsupported_operand_html"><div class="ttname"><a href="classarmnn__driver_1_1_unsupported_operand.html">armnn_driver::UnsupportedOperand</a></div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8hpp_source.html#l00027">CanonicalUtils.hpp:27</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_aa02b9e06fb20fa3c13da0427e6ee5ab2"><div class="ttname"><a href="namespacearmnn.html#aa02b9e06fb20fa3c13da0427e6ee5ab2">armnn::GetDataTypeSize</a></div><div class="ttdeci">constexpr unsigned int GetDataTypeSize(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.html#l00172">TypesUtils.hpp:172</a></div></div>
+<div class="ttc" id="anamespacearmnn__driver_html_a31f074135a3dba97d9baf1dffd0a07fd"><div class="ttname"><a href="namespacearmnn__driver.html#a31f074135a3dba97d9baf1dffd0a07fd">armnn_driver::SerializeNetwork</a></div><div class="ttdeci">std::string SerializeNetwork(const armnn::INetwork &amp;network, const std::string &amp;dumpDir, std::vector&lt; uint8_t &gt; &amp;dataCacheData, bool dataCachingActive)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00429">CanonicalUtils.cpp:429</a></div></div>
+<div class="ttc" id="aclassarmnn_serializer_1_1_i_serializer_html_a3c51b5b078572dee02528bfae7202524"><div class="ttname"><a href="classarmnn_serializer_1_1_i_serializer.html#a3c51b5b078572dee02528bfae7202524">armnnSerializer::ISerializer::Create</a></div><div class="ttdeci">static ISerializerPtr Create()</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_8cpp_source.html#l00035">Serializer.cpp:35</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_permutation_vector_html"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00308">Types.hpp:308</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a></div><div class="ttdeci">@ Success</div></div>
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+<div class="ttc" id="anamespacearmnn__driver_html_a31b494d1b36f5ed7fc7556a0fbc2c17c"><div class="ttname"><a href="namespacearmnn__driver.html#a31b494d1b36f5ed7fc7556a0fbc2c17c">armnn_driver::GetModelSummary</a></div><div class="ttdeci">std::string GetModelSummary(const Model &amp;model)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00523">CanonicalUtils.cpp:523</a></div></div>
+<div class="ttc" id="anamespacearmnn__driver_html_a00b317cd97319ac7b6a248a768ceb201"><div class="ttname"><a href="namespacearmnn__driver.html#a00b317cd97319ac7b6a248a768ceb201">armnn_driver::RenameFile</a></div><div class="ttdeci">void RenameFile(const std::string &amp;existingName, const std::string &amp;extension, const std::string &amp;dumpDir, const armnn::NetworkId networkId)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00590">CanonicalUtils.cpp:590</a></div></div>
+<div class="ttc" id="a_permute_8hpp_html"><div class="ttname"><a href="_permute_8hpp.html">Permute.hpp</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00198">Tensor.hpp:198</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div><div class="ttdeci">@ Signed32</div></div>
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+<div class="ttc" id="anamespacearmnn__driver_html_a3d30e31a46482fbc714fc34e0d5a1c90"><div class="ttname"><a href="namespacearmnn__driver.html#a3d30e31a46482fbc714fc34e0d5a1c90">armnn_driver::RenameExportedFiles</a></div><div class="ttdeci">void RenameExportedFiles(const std::string &amp;existingSerializedFileName, const std::string &amp;existingDotFileName, const std::string &amp;dumpDir, const armnn::NetworkId networkId)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00577">CanonicalUtils.cpp:577</a></div></div>
+<div class="ttc" id="anamespacearmnn__driver_html_a915f2652854e417e26afc297f12e107c"><div class="ttname"><a href="namespacearmnn__driver.html#a915f2652854e417e26afc297f12e107c">armnn_driver::GetMemoryFromPointer</a></div><div class="ttdeci">void * GetMemoryFromPointer(const Request::Argument &amp;requestArg)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00077">CanonicalUtils.cpp:77</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00191">Tensor.hpp:191</a></div></div>
+<div class="ttc" id="anamespaceandroid_1_1nn_html"><div class="ttname"><a href="namespaceandroid_1_1nn.html">android::nn</a></div><div class="ttdef"><b>Definition:</b> <a href="support__library__service_8cpp_source.html#l00010">support_library_service.cpp:10</a></div></div>
+<div class="ttc" id="anamespacearmnn__driver_html_a93f4874062e34819806d36b74c73dc61"><div class="ttname"><a href="namespacearmnn__driver.html#a93f4874062e34819806d36b74c73dc61">armnn_driver::GetTensorInfoForOperand</a></div><div class="ttdeci">armnn::TensorInfo GetTensorInfoForOperand(const Operand &amp;operand)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00097">CanonicalUtils.cpp:97</a></div></div>
+<div class="ttc" id="anamespacearmnn__driver_html_aa25bddb175983b2d3e0965440323d789"><div class="ttname"><a href="namespacearmnn__driver.html#aa25bddb175983b2d3e0965440323d789">armnn_driver::DumpTensor</a></div><div class="ttdeci">void DumpTensor(const std::string &amp;dumpDir, const std::string &amp;requestName, const std::string &amp;tensorName, const TensorType &amp;tensor)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00219">CanonicalUtils.cpp:219</a></div></div>
+<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_i_profiler_html_a038bb767bbc6abc0ee0d9b509616b896"><div class="ttname"><a href="classarmnn_1_1_i_profiler.html#a038bb767bbc6abc0ee0d9b509616b896">armnn::IProfiler::Print</a></div><div class="ttdeci">void Print(std::ostream &amp;outStream) const</div><div class="ttdoc">Print stats for events in JSON Format to the given output stream.</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8cpp_source.html#l00630">Profiling.cpp:630</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_i_profiler_html"><div class="ttname"><a href="classarmnn_1_1_i_profiler.html">armnn::IProfiler</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_profiler_8hpp_source.html#l00021">IProfiler.hpp:21</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00327">Tensor.hpp:327</a></div></div>
+<div class="ttc" id="anamespacearmnn__driver_html_a85d53debffd9611a3b5bc6031afd5073"><div class="ttname"><a href="namespacearmnn__driver.html#a85d53debffd9611a3b5bc6031afd5073">armnn_driver::AreDynamicTensorsSupported</a></div><div class="ttdeci">bool AreDynamicTensorsSupported()</div><div class="ttdoc">Checks for ArmNN support of dynamic tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00502">CanonicalUtils.cpp:502</a></div></div>
+<div class="ttc" id="anamespacearmnn__driver_html_ac0532f3c7d143a04aee7f5991ee5d381"><div class="ttname"><a href="namespacearmnn__driver.html#ac0532f3c7d143a04aee7f5991ee5d381">armnn_driver::GetOperandSummary</a></div><div class="ttdeci">std::string GetOperandSummary(const Operand &amp;operand)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00191">CanonicalUtils.cpp:191</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a5a212540c00931bd2a4b4041beda33ae"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a5a212540c00931bd2a4b4041beda33ae">armnn::TensorShape::GetDimensionality</a></div><div class="ttdeci">Dimensionality GetDimensionality() const</div><div class="ttdoc">Function that returns the tensor type.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00092">Tensor.hpp:92</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorShape::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdoc">Function that calculates the tensor elements by multiplying all dimension size which are Specified.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00181">Tensor.cpp:181</a></div></div>
+<div class="ttc" id="anamespaceandroid_html"><div class="ttname"><a href="namespaceandroid.html">android</a></div><div class="ttdef"><b>Definition:</b> <a href="support__library__service_8cpp_source.html#l00010">support_library_service.cpp:10</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_i_network_html"><div class="ttname"><a href="classarmnn_1_1_i_network.html">armnn::INetwork</a></div><div class="ttdoc">Main network class which provides the interface for building up a neural network.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00347">INetwork.hpp:347</a></div></div>
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+    <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li>
+  </ul>
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