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<div class="title">CanonicalUtils.cpp</div> </div>
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<a href="_canonical_utils_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="_canonical_utils_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="_canonical_utils_8hpp.xhtml">CanonicalUtils.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_utils_8hpp.xhtml">armnn/Utils.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_assert_8hpp.xhtml">armnn/utility/Assert.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_i_serializer_8hpp.xhtml">armnnSerializer/ISerializer.hpp</a>></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_permute_8hpp.xhtml">armnnUtils/Permute.hpp</a>></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="preprocessor">#include <ghc/filesystem.hpp></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="keyword">namespace </span>fs = ghc::filesystem;</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <half/half.hpp></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <log/log.h></span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include <cassert></span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include <cerrno></span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include <cinttypes></span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include <cstdio></span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include <sstream></span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include <time.h></span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include <variant></span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> </div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> {</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">using</span> <a class="code" href="namespacearmnn.xhtml#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> } <span class="comment">//namespace armnn</span></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> <span class="keyword">using namespace </span><a class="code" href="namespaceandroid.xhtml">android</a>;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">using namespace </span><a class="code" href="namespaceandroid_1_1nn.xhtml">android::nn</a>;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn__driver.xhtml">armnn_driver</a></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div><div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.xhtml#ae059aea66ee0867a204aa2f2d9abb42c"> 38</a></span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> <a class="code" href="namespacearmnn__driver.xhtml#ae059aea66ee0867a204aa2f2d9abb42c">g_DontPermute</a>{};</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.xhtml#a5665b88a0b22c6341dd8075048981689"> 40</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn__driver.xhtml#a5665b88a0b22c6341dd8075048981689">SwizzleAndroidNn4dTensorToArmNn</a>(<a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensorInfo,</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">const</span> <span class="keywordtype">void</span>* input,</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordtype">void</span>* output,</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a>& mappings)</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> {</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  assert(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 4U);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> dataType = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>();</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">switch</span> (dataType)</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>:</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a>:</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="comment">// First swizzle tensor info</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  tensorInfo = <a class="code" href="namespacearmnn_utils.xhtml#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a>(tensorInfo, mappings);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="comment">// Then swizzle tensor data</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnnUtils::Permute</a>(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), mappings, input, output, <a class="code" href="namespacearmnn.xhtml#aa02b9e06fb20fa3c13da0427e6ee5ab2">armnn::GetDataTypeSize</a>(dataType));</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  VLOG(DRIVER) << <span class="stringliteral">"Unknown armnn::DataType for swizzling"</span>;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  assert(0);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  }</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> </div><div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.xhtml#a96666c2945d7fe8c34aee30a449287d5"> 66</a></span> <span class="keywordtype">void</span>* <a class="code" href="namespacearmnn__driver.xhtml#a96666c2945d7fe8c34aee30a449287d5">GetMemoryFromPool</a>(DataLocation location, <span class="keyword">const</span> std::vector<android::nn::RunTimePoolInfo>& memPools)</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> {</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="comment">// find the location within the pool</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  assert(location.poolIndex < memPools.size());</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>  <span class="keyword">const</span> android::nn::RunTimePoolInfo& memPool = memPools[location.poolIndex];</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  uint8_t* memPoolBuffer = memPool.getBuffer();</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  uint8_t* memory = memPoolBuffer + location.offset;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">return</span> memory;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> }</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00077"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.xhtml#a915f2652854e417e26afc297f12e107c"> 77</a></span> <span class="keywordtype">void</span>* <a class="code" href="namespacearmnn__driver.xhtml#a915f2652854e417e26afc297f12e107c">GetMemoryFromPointer</a>(<span class="keyword">const</span> Request::Argument& requestArg)</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="comment">// get the pointer memory</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">auto</span> ptrMemory = std::visit([](std::variant<const void*, void*>&& memory)</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  {</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">if</span> (std::holds_alternative<const void*>(memory))</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keyword">auto</span> ptr = std::get<const void*>(memory);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keyword">auto</span> ptrMemory = <span class="keyword">static_cast<</span><span class="keyword">const </span>uint8_t*<span class="keyword">></span>(ptr);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">return</span> <span class="keyword">const_cast<</span>uint8_t*<span class="keyword">></span>(ptrMemory);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  }</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  {</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">auto</span> ptr = std::get<void*>(memory);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordflow">return</span> <span class="keyword">static_cast<</span>uint8_t*<span class="keyword">></span>(ptr);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  }</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  }, requestArg.location.pointer);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">return</span> ptrMemory;</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> </div><div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.xhtml#a93f4874062e34819806d36b74c73dc61"> 97</a></span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> <a class="code" href="namespacearmnn__driver.xhtml#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>& operand)</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> {</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a>;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordtype">bool</span> perChannel = <span class="keyword">false</span>;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordtype">bool</span> isScalar = <span class="keyword">false</span>;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> type;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">switch</span> (operand.type)</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="keywordflow">case</span> OperandType::TENSOR_BOOL8:</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  type = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">case</span> OperandType::TENSOR_FLOAT32:</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  type = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">case</span> OperandType::TENSOR_FLOAT16:</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  type = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">case</span> OperandType::TENSOR_QUANT8_ASYMM:</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  type = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">case</span> OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL:</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  perChannel=<span class="keyword">true</span>;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="_utils_8hpp.xhtml#abbf421eb1186af0d505648ed2ea54a00">ARMNN_FALLTHROUGH</a>;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">case</span> OperandType::TENSOR_QUANT8_SYMM:</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  type = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a>;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">case</span> OperandType::TENSOR_QUANT16_SYMM:</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  type = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">case</span> OperandType::TENSOR_INT32:</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  type = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">case</span> OperandType::INT32:</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  type = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  isScalar = <span class="keyword">true</span>;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordflow">case</span> OperandType::TENSOR_QUANT8_ASYMM_SIGNED:</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  type = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn__driver_1_1_unsupported_operand.xhtml">UnsupportedOperand<OperandType></a>(operand.type);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  }</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> ret;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordflow">if</span> (isScalar)</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  {</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  ret = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>(<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Dimensionality::Scalar</a>), type);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  }</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordflow">else</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>  <span class="keywordflow">if</span> (operand.dimensions.size() == 0)</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  {</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> tensorShape(<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">Dimensionality::NotSpecified</a>);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  ret = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>(tensorShape, type);</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>  <span class="keywordflow">else</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  {</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordtype">bool</span> dimensionsSpecificity[5] = { <span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">true</span> };</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordtype">int</span> count = 0;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  std::for_each(operand.dimensions.data(),</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  operand.dimensions.data() + operand.dimensions.size(),</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  [&](<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>  {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">if</span> (val == 0)</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  {</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  dimensionsSpecificity[count] = <span class="keyword">false</span>;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  }</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  count++;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</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>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> tensorShape(operand.dimensions.size(), operand.dimensions.data(), dimensionsSpecificity);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  ret = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>(tensorShape, type);</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</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> </div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">if</span> (perChannel)</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  {</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="comment">// ExtraParams is expected to be of type channelQuant</span></div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& perAxisQuantParams = std::get<Operand::SymmPerChannelQuantParams>(operand.extraParams);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  ret.SetQuantizationScales(perAxisQuantParams.scales);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  ret.SetQuantizationDim(MakeOptional<unsigned int>(perAxisQuantParams.channelDim));</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  }</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">else</span></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>  ret.SetQuantizationScale(operand.scale);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  ret.SetQuantizationOffset(operand.zeroPoint);</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>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> }</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> </div><div class="line"><a name="l00189"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.xhtml#ac0532f3c7d143a04aee7f5991ee5d381"> 189</a></span> std::string <a class="code" href="namespacearmnn__driver.xhtml#ac0532f3c7d143a04aee7f5991ee5d381">GetOperandSummary</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>& operand)</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> {</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  std::stringstream ss;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  ss << <span class="stringliteral">"operand dimensions: [ "</span>;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < operand.dimensions.size(); ++i)</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  {</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  ss << operand.dimensions[i] << <span class="stringliteral">" "</span>;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  }</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  ss << <span class="stringliteral">"] operand type: "</span> << operand.type;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">return</span> ss.str();</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> }</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> <span class="keyword">template</span> <<span class="keyword">typename</span> TensorType></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> <span class="keyword">using</span> <a class="code" href="namespacearmnn__driver.xhtml#a34209101a89c1ae72081a0fb53725852">DumpElementFunction</a> = void (*)(<span class="keyword">const</span> TensorType& tensor,</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> elementIndex,</div><div class="line"><a name="l00204"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.xhtml#a34209101a89c1ae72081a0fb53725852"> 204</a></span>  std::ofstream& fileStream);</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> {</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="keyword">template</span> <<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></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> <span class="keywordtype">void</span> DumpTensorElement(<span class="keyword">const</span> TensorType& tensor, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> elementIndex, std::ofstream& fileStream)</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> {</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">const</span> ElementType* elements = <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>ElementType*<span class="keyword">></span>(tensor.GetMemoryArea());</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  fileStream << static_cast<PrintableType>(elements[elementIndex]) << <span class="stringliteral">" "</span>;</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> }</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> } <span class="comment">// namespace</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> <span class="keyword">template</span> <<span class="keyword">typename</span> TensorType></div><div class="line"><a name="l00217"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.xhtml#aa25bddb175983b2d3e0965440323d789"> 217</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn__driver.xhtml#aa25bddb175983b2d3e0965440323d789">DumpTensor</a>(<span class="keyword">const</span> std::string& dumpDir,</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keyword">const</span> std::string& requestName,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keyword">const</span> std::string& tensorName,</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keyword">const</span> TensorType& tensor)</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> {</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="comment">// The dump directory must exist in advance.</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  fs::path dumpPath = dumpDir;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keyword">const</span> fs::path fileName = dumpPath / (requestName + <span class="stringliteral">"_"</span> + tensorName + <span class="stringliteral">".dump"</span>);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  std::ofstream fileStream;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  fileStream.open(fileName.c_str(), std::ofstream::out | std::ofstream::trunc);</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">if</span> (!fileStream.good())</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  {</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  VLOG(DRIVER) << <span class="stringliteral">"Could not open file %s for writing"</span> << fileName.c_str();</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  }</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <a class="code" href="namespacearmnn__driver.xhtml#a34209101a89c1ae72081a0fb53725852">DumpElementFunction<TensorType></a> dumpElementFunction = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> </div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordflow">switch</span> (tensor.GetDataType())</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  {</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  {</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  dumpElementFunction = &DumpTensorElement<TensorType, float>;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  }</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  {</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  dumpElementFunction = &DumpTensorElement<TensorType, uint8_t, uint32_t>;</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  }</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>:</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  {</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  dumpElementFunction = &DumpTensorElement<TensorType, int32_t>;</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  }</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>:</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  {</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  dumpElementFunction = &DumpTensorElement<TensorType, armnn::Half>;</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  }</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  {</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  dumpElementFunction = &DumpTensorElement<TensorType, int8_t, int32_t>;</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  }</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>:</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  {</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  dumpElementFunction = &DumpTensorElement<TensorType, bool>;</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  }</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  {</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  dumpElementFunction = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  }</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  }</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> </div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">if</span> (dumpElementFunction != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  {</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDimensions = tensor.GetNumDimensions();</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape = tensor.GetShape();</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> </div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">if</span> (!shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#acccb75bd1d68a81f6ddd61687f51c5a1">AreAllDimensionsSpecified</a>())</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  {</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  fileStream << <span class="stringliteral">"Cannot dump tensor elements: not all dimensions are specified"</span> << std::endl;</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  }</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  fileStream << <span class="stringliteral">"# Number of elements "</span> << tensor.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() << std::endl;</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordflow">if</span> (numDimensions == 0)</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  {</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  fileStream << <span class="stringliteral">"# Shape []"</span> << std::endl;</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  }</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  fileStream << <span class="stringliteral">"# Shape ["</span> << shape[0];</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 1; d < numDimensions; ++d)</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  {</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  fileStream << <span class="stringliteral">","</span> << shape[d];</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  }</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  fileStream << <span class="stringliteral">"]"</span> << std::endl;</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  fileStream << <span class="stringliteral">"Each line contains the data of each of the elements of dimension0. In NCHW and NHWC, each line"</span></div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="stringliteral">" will be a batch"</span> << std::endl << std::endl;</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> </div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="comment">// Split will create a new line after all elements of the first dimension</span></div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="comment">// (in a 4, 3, 2, 3 tensor, there will be 4 lines of 18 elements)</span></div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> split = 1;</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keywordflow">if</span> (numDimensions == 1)</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  {</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  split = shape[0];</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  }</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  {</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 1; i < numDimensions; ++i)</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  {</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  split *= shape[i];</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  }</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  }</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span> </div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="comment">// Print all elements in the tensor</span></div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> elementIndex = 0; elementIndex < tensor.GetNumElements(); ++elementIndex)</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  {</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  (*dumpElementFunction)(tensor, elementIndex, fileStream);</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span> </div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keywordflow">if</span> ( (elementIndex + 1) % split == 0 )</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  {</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  fileStream << std::endl;</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  }</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  }</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  fileStream << std::endl;</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  }</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  {</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  fileStream << <span class="stringliteral">"Cannot dump tensor elements: Unsupported data type "</span></div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  << <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(tensor.GetDataType()) << std::endl;</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  }</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> </div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">if</span> (!fileStream.good())</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  {</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  VLOG(DRIVER) << <span class="stringliteral">"An error occurred when writing to file %s"</span> << fileName.c_str();</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  }</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span> }</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span> </div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> <span class="keyword">template</span> <span class="keywordtype">void</span> DumpTensor<armnn::ConstTensor>(<span class="keyword">const</span> std::string& dumpDir,</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keyword">const</span> std::string& requestName,</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keyword">const</span> std::string& tensorName,</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a>& tensor);</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> </div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span> <span class="keyword">template</span> <span class="keywordtype">void</span> DumpTensor<armnn::Tensor>(<span class="keyword">const</span> std::string& dumpDir,</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keyword">const</span> std::string& requestName,</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keyword">const</span> std::string& tensorName,</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a>& tensor);</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span> </div><div class="line"><a name="l00350"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.xhtml#aa313ae79f70102e3451d45d3387c2e46"> 350</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn__driver.xhtml#aa313ae79f70102e3451d45d3387c2e46">DumpJsonProfilingIfRequired</a>(<span class="keywordtype">bool</span> gpuProfilingEnabled,</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keyword">const</span> std::string& dumpDir,</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <a class="code" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> networkId,</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_profiler.xhtml">armnn::IProfiler</a>* profiler)</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> {</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="comment">// Check if profiling is required.</span></div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">if</span> (!gpuProfilingEnabled)</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  {</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  }</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> </div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="comment">// The dump directory must exist in advance.</span></div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keywordflow">if</span> (dumpDir.empty())</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  {</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  }</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span> </div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(profiler);</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span> </div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="comment">// Set the name of the output profiling file.</span></div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  fs::path dumpPath = dumpDir;</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="keyword">const</span> fs::path fileName = dumpPath / (std::to_string(networkId) + <span class="stringliteral">"_profiling.json"</span>);</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> </div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="comment">// Open the ouput file for writing.</span></div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  std::ofstream fileStream;</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  fileStream.open(fileName.c_str(), std::ofstream::out | std::ofstream::trunc);</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keywordflow">if</span> (!fileStream.good())</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  {</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  VLOG(DRIVER) << <span class="stringliteral">"Could not open file %s for writing"</span> << fileName.c_str();</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  }</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> </div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="comment">// Write the profiling info to a JSON file.</span></div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  profiler-><a class="code" href="classarmnn_1_1_i_profiler.xhtml#a038bb767bbc6abc0ee0d9b509616b896">Print</a>(fileStream);</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span> }</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span> </div><div class="line"><a name="l00387"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.xhtml#a5304cf930377fc082e7494d20de2be12"> 387</a></span> std::string <a class="code" href="namespacearmnn__driver.xhtml#a5304cf930377fc082e7494d20de2be12">ExportNetworkGraphToDotFile</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml">armnn::IOptimizedNetwork</a>& optimizedNetwork,</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keyword">const</span> std::string& dumpDir)</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> {</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  std::string fileName;</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="comment">// The dump directory must exist in advance.</span></div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="keywordflow">if</span> (dumpDir.empty())</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  {</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keywordflow">return</span> fileName;</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  }</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> </div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  std::string timestamp = <a class="code" href="namespacearmnn__driver.xhtml#a419cd7b9bad83f31f6db8ba9a3b9517a">GetFileTimestamp</a>();</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keywordflow">if</span> (timestamp.empty())</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  {</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="keywordflow">return</span> fileName;</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  }</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span> </div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="comment">// Set the name of the output .dot file.</span></div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  fs::path dumpPath = dumpDir;</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  fs::path tempFilePath = dumpPath / (timestamp + <span class="stringliteral">"_networkgraph.dot"</span>);</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  fileName = tempFilePath.string();</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span> </div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  VLOG(DRIVER) << <span class="stringliteral">"Exporting the optimized network graph to file: %s"</span> << fileName.c_str();</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span> </div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="comment">// Write the network graph to a dot file.</span></div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  std::ofstream fileStream;</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  fileStream.open(fileName, std::ofstream::out | std::ofstream::trunc);</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> </div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="keywordflow">if</span> (!fileStream.good())</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  {</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  VLOG(DRIVER) << <span class="stringliteral">"Could not open file %s for writing"</span> << fileName.c_str();</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keywordflow">return</span> fileName;</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  }</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> </div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordflow">if</span> (optimizedNetwork.<a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a26794f014974a6f963a8925de07bffeb">SerializeToDot</a>(fileStream) != <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a>)</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  {</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  VLOG(DRIVER) << <span class="stringliteral">"An error occurred when writing to file %s"</span> << fileName.c_str();</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  }</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keywordflow">return</span> fileName;</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span> }</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span> </div><div class="line"><a name="l00427"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.xhtml#a31f074135a3dba97d9baf1dffd0a07fd"> 427</a></span> std::string <a class="code" href="namespacearmnn__driver.xhtml#a31f074135a3dba97d9baf1dffd0a07fd">SerializeNetwork</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_network.xhtml">armnn::INetwork</a>& network,</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keyword">const</span> std::string& dumpDir,</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  std::vector<uint8_t>& dataCacheData,</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="keywordtype">bool</span> dataCachingActive)</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> {</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  std::string fileName;</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keywordtype">bool</span> bSerializeToFile = <span class="keyword">true</span>;</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keywordflow">if</span> (dumpDir.empty())</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  {</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  bSerializeToFile = <span class="keyword">false</span>;</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  }</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  {</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  std::string timestamp = <a class="code" href="namespacearmnn__driver.xhtml#a419cd7b9bad83f31f6db8ba9a3b9517a">GetFileTimestamp</a>();</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keywordflow">if</span> (timestamp.empty())</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  {</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  bSerializeToFile = <span class="keyword">false</span>;</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  }</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  }</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordflow">if</span> (!bSerializeToFile && !dataCachingActive)</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  {</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordflow">return</span> fileName;</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  }</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span> </div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keyword">auto</span> <a class="code" href="namespacearmnn_serializer.xhtml">serializer</a>(<a class="code" href="classarmnn_serializer_1_1_i_serializer.xhtml#a3c51b5b078572dee02528bfae7202524">armnnSerializer::ISerializer::Create</a>());</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="comment">// Serialize the Network</span></div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <a class="code" href="namespacearmnn_serializer.xhtml">serializer</a>->Serialize(network);</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keywordflow">if</span> (dataCachingActive)</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  {</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  std::stringstream stream;</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keyword">auto</span> serialized = <a class="code" href="namespacearmnn_serializer.xhtml">serializer</a>->SaveSerializedToStream(stream);</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordflow">if</span> (serialized)</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  {</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  std::string <span class="keyword">const</span> serializedString{stream.str()};</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  std::copy(serializedString.begin(),</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  serializedString.end(),</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  std::back_inserter(dataCacheData));</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  }</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  }</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span> </div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="keywordflow">if</span> (bSerializeToFile)</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  {</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="comment">// Set the name of the output .armnn file.</span></div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  fs::path dumpPath = dumpDir;</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  std::string timestamp = <a class="code" href="namespacearmnn__driver.xhtml#a419cd7b9bad83f31f6db8ba9a3b9517a">GetFileTimestamp</a>();</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  fs::path tempFilePath = dumpPath / (timestamp + <span class="stringliteral">"_network.armnn"</span>);</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  fileName = tempFilePath.string();</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span> </div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="comment">// Save serialized network to a file</span></div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  std::ofstream serializedFile(fileName, std::ios::out | std::ios::binary);</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keyword">auto</span> serialized = <a class="code" href="namespacearmnn_serializer.xhtml">serializer</a>->SaveSerializedToStream(serializedFile);</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="keywordflow">if</span> (!serialized)</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  {</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  VLOG(DRIVER) << <span class="stringliteral">"An error occurred when serializing to file %s"</span> << fileName.c_str();</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  }</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  }</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keywordflow">return</span> fileName;</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span> }</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span> </div><div class="line"><a name="l00486"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.xhtml#a208149d5c08f84debf8b265bb508fe02"> 486</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn__driver.xhtml#a208149d5c08f84debf8b265bb508fe02">IsDynamicTensor</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensorInfo)</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span> {</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <span class="keywordflow">if</span> (tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a5a212540c00931bd2a4b4041beda33ae">GetDimensionality</a>() == <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</a>)</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  {</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  }</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="comment">// Account for the usage of the TensorShape empty constructor</span></div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="keywordflow">if</span> (tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 0)</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  {</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  }</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="keywordflow">return</span> !tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#acccb75bd1d68a81f6ddd61687f51c5a1">AreAllDimensionsSpecified</a>();</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span> }</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> </div><div class="line"><a name="l00500"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.xhtml#a85d53debffd9611a3b5bc6031afd5073"> 500</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn__driver.xhtml#a85d53debffd9611a3b5bc6031afd5073">AreDynamicTensorsSupported</a>() <span class="comment">//TODO</span></div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> {</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span> }</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span> </div><div class="line"><a name="l00505"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.xhtml#ab3c135a0d4b1152f6b989ea6afddd6bc"> 505</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn__driver.xhtml#ab3c135a0d4b1152f6b989ea6afddd6bc">isQuantizedOperand</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#a53bfb6eb38a90244ba166b641a6965d9">OperandType</a>& operandType)</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span> {</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keywordflow">if</span> (operandType == OperandType::TENSOR_QUANT8_ASYMM ||</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  operandType == OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL ||</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  operandType == OperandType::TENSOR_QUANT8_SYMM ||</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  operandType == OperandType::TENSOR_QUANT16_SYMM ||</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  operandType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED)</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  {</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  }</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  {</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  }</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span> }</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span> </div><div class="line"><a name="l00521"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.xhtml#a31b494d1b36f5ed7fc7556a0fbc2c17c"> 521</a></span> std::string <a class="code" href="namespacearmnn__driver.xhtml#a31b494d1b36f5ed7fc7556a0fbc2c17c">GetModelSummary</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a>& model)</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span> {</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  std::stringstream result;</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span> </div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  result << model.main.inputIndexes.size() << <span class="stringliteral">" input(s), "</span></div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  << model.main.operations.size() << <span class="stringliteral">" operation(s), "</span></div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  << model.main.outputIndexes.size() << <span class="stringliteral">" output(s), "</span></div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  << model.main.operands.size() << <span class="stringliteral">" operand(s) "</span></div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  << std::endl;</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span> </div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  result << <span class="stringliteral">"Inputs: "</span>;</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < model.main.inputIndexes.size(); i++)</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  {</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  result << <a class="code" href="namespacearmnn__driver.xhtml#ac0532f3c7d143a04aee7f5991ee5d381">GetOperandSummary</a>(model.main.operands[model.main.inputIndexes[i]]) << <span class="stringliteral">", "</span>;</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  }</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  result << std::endl;</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span> </div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  result << <span class="stringliteral">"Operations: "</span>;</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < model.main.operations.size(); i++)</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  {</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  result << model.main.operations[i].type << <span class="stringliteral">", "</span>;</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  }</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  result << std::endl;</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span> </div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  result << <span class="stringliteral">"Outputs: "</span>;</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < model.main.outputIndexes.size(); i++)</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  {</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  result << <a class="code" href="namespacearmnn__driver.xhtml#ac0532f3c7d143a04aee7f5991ee5d381">GetOperandSummary</a>(model.main.operands[model.main.outputIndexes[i]]) << <span class="stringliteral">", "</span>;</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  }</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  result << std::endl;</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span> </div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keywordflow">return</span> result.str();</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span> }</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span> </div><div class="line"><a name="l00555"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.xhtml#a419cd7b9bad83f31f6db8ba9a3b9517a"> 555</a></span> std::string <a class="code" href="namespacearmnn__driver.xhtml#a419cd7b9bad83f31f6db8ba9a3b9517a">GetFileTimestamp</a>()</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span> {</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="comment">// used to get a timestamp to name diagnostic files (the ArmNN serialized graph</span></div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="comment">// and getSupportedOperations.txt files)</span></div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  timespec ts;</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="keywordtype">int</span> iRet = clock_gettime(CLOCK_MONOTONIC_RAW, &ts);</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  std::stringstream ss;</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="keywordflow">if</span> (iRet == 0)</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  {</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  ss << std::to_string(ts.tv_sec) << <span class="stringliteral">"_"</span> << std::to_string(ts.tv_nsec);</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  }</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  {</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  VLOG(DRIVER) << <span class="stringliteral">"clock_gettime failed with errno "</span> <<</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  std::to_string(errno).c_str() << <span class="stringliteral">" : "</span> <<</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  std::strerror(errno);</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  }</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="keywordflow">return</span> ss.str();</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span> }</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span> </div><div class="line"><a name="l00575"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.xhtml#a3d30e31a46482fbc714fc34e0d5a1c90"> 575</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn__driver.xhtml#a3d30e31a46482fbc714fc34e0d5a1c90">RenameExportedFiles</a>(<span class="keyword">const</span> std::string& existingSerializedFileName,</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="keyword">const</span> std::string& existingDotFileName,</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keyword">const</span> std::string& dumpDir,</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> networkId)</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span> {</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <span class="keywordflow">if</span> (dumpDir.empty())</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  {</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  }</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <a class="code" href="namespacearmnn__driver.xhtml#a00b317cd97319ac7b6a248a768ceb201">RenameFile</a>(existingSerializedFileName, std::string(<span class="stringliteral">"_network.armnn"</span>), dumpDir, networkId);</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <a class="code" href="namespacearmnn__driver.xhtml#a00b317cd97319ac7b6a248a768ceb201">RenameFile</a>(existingDotFileName, std::string(<span class="stringliteral">"_networkgraph.dot"</span>), dumpDir, networkId);</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span> }</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span> </div><div class="line"><a name="l00588"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.xhtml#a00b317cd97319ac7b6a248a768ceb201"> 588</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn__driver.xhtml#a00b317cd97319ac7b6a248a768ceb201">RenameFile</a>(<span class="keyword">const</span> std::string& existingName,</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keyword">const</span> std::string& extension,</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="keyword">const</span> std::string& dumpDir,</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> networkId)</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span> {</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="keywordflow">if</span> (existingName.empty() || dumpDir.empty())</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  {</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  }</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span> </div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  fs::path dumpPath = dumpDir;</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <span class="keyword">const</span> fs::path newFileName = dumpPath / (std::to_string(networkId) + extension);</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <span class="keywordtype">int</span> iRet = rename(existingName.c_str(), newFileName.c_str());</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="keywordflow">if</span> (iRet != 0)</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  {</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  std::stringstream ss;</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  ss << <span class="stringliteral">"rename of ["</span> << existingName << <span class="stringliteral">"] to ["</span> << newFileName << <span class="stringliteral">"] failed with errno "</span></div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  << std::to_string(errno) << <span class="stringliteral">" : "</span> << std::strerror(errno);</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  VLOG(DRIVER) << ss.str().c_str();</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  }</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span> }</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span> </div><div class="line"><a name="l00610"></a><span class="lineno"><a class="line" href="namespacearmnn__driver.xhtml#a7c1c80ee0f432b6b621c40571410195a"> 610</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn__driver.xhtml#a7c1c80ee0f432b6b621c40571410195a">CommitPools</a>(std::vector<::android::nn::RunTimePoolInfo>& memPools)</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span> {</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <span class="comment">// Commit output buffers.</span></div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="comment">// Note that we update *all* pools, even if they aren't actually used as outputs -</span></div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <span class="comment">// this is simpler and is what the CpuExecutor does.</span></div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& pool : memPools)</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  {</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <span class="comment">// Type android::nn::RunTimePoolInfo has changed between Android P & Q and Android R, where</span></div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="comment">// update() has been removed and flush() added.</span></div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  pool.flush();</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  }</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span> }</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span> } <span class="comment">// namespace armnn_driver</span></div><div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#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.xhtml#l00181">Tensor.cpp:181</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_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</a></div></div>
<div class="ttc" id="_utils_8hpp_xhtml"><div class="ttname"><a href="_utils_8hpp.xhtml">Utils.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_serializer_xhtml"><div class="ttname"><a href="namespacearmnn_serializer.xhtml">armnnSerializer</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_serializer_8hpp_source.xhtml#l00011">ISerializer.hpp:11</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_acccb75bd1d68a81f6ddd61687f51c5a1"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#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.xhtml#l00241">Tensor.cpp:241</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_1_1_tensor_shape_xhtml_a5a212540c00931bd2a4b4041beda33ae"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#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.xhtml#l00092">Tensor.hpp:92</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a96666c2945d7fe8c34aee30a449287d5"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a96666c2945d7fe8c34aee30a449287d5">armnn_driver::GetMemoryFromPool</a></div><div class="ttdeci">void * GetMemoryFromPool(DataLocation location, const std::vector< android::nn::RunTimePoolInfo > &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.xhtml#l00066">CanonicalUtils.cpp:66</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_profiler_xhtml_a038bb767bbc6abc0ee0d9b509616b896"><div class="ttname"><a href="classarmnn_1_1_i_profiler.xhtml#a038bb767bbc6abc0ee0d9b509616b896">armnn::IProfiler::Print</a></div><div class="ttdeci">void Print(std::ostream &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.xhtml#l00630">Profiling.cpp:630</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_network_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml">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.xhtml#l00261">INetwork.hpp:261</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a31b494d1b36f5ed7fc7556a0fbc2c17c"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a31b494d1b36f5ed7fc7556a0fbc2c17c">armnn_driver::GetModelSummary</a></div><div class="ttdeci">std::string GetModelSummary(const Model &model)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00521">CanonicalUtils.cpp:521</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">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.xhtml#l00006">01_00_quick_start.dox:6</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_aa25bddb175983b2d3e0965440323d789"><div class="ttname"><a href="namespacearmnn__driver.xhtml#aa25bddb175983b2d3e0965440323d789">armnn_driver::DumpTensor</a></div><div class="ttdeci">void DumpTensor(const std::string &dumpDir, const std::string &requestName, const std::string &tensorName, const TensorType &tensor)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00217">CanonicalUtils.cpp:217</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</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="namespacearmnn__driver_xhtml_a53bfb6eb38a90244ba166b641a6965d9"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a53bfb6eb38a90244ba166b641a6965d9">armnn_driver::OperandType</a></div><div class="ttdeci">::android::nn::OperandType OperandType</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00046">ConversionUtils.hpp:46</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a34209101a89c1ae72081a0fb53725852"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a34209101a89c1ae72081a0fb53725852">armnn_driver::DumpElementFunction</a></div><div class="ttdeci">void(*)(const TensorType &tensor, unsigned int elementIndex, std::ofstream &fileStream) DumpElementFunction</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00204">CanonicalUtils.cpp:204</a></div></div>
<div class="ttc" id="namespaceandroid_xhtml"><div class="ttname"><a href="namespaceandroid.xhtml">android</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_ae059aea66ee0867a204aa2f2d9abb42c"><div class="ttname"><a href="namespacearmnn__driver.xhtml#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.xhtml#l00038">CanonicalUtils.cpp:38</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor.xhtml">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.xhtml#l00319">Tensor.hpp:319</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a5665b88a0b22c6341dd8075048981689"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a5665b88a0b22c6341dd8075048981689">armnn_driver::SwizzleAndroidNn4dTensorToArmNn</a></div><div class="ttdeci">void SwizzleAndroidNn4dTensorToArmNn(armnn::TensorInfo &tensorInfo, const void *input, void *output, const armnn::PermutationVector &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.xhtml#l00040">CanonicalUtils.cpp:40</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a85d53debffd9611a3b5bc6031afd5073"><div class="ttname"><a href="namespacearmnn__driver.xhtml#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.xhtml#l00500">CanonicalUtils.cpp:500</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a3d30e31a46482fbc714fc34e0d5a1c90"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a3d30e31a46482fbc714fc34e0d5a1c90">armnn_driver::RenameExportedFiles</a></div><div class="ttdeci">void RenameExportedFiles(const std::string &existingSerializedFileName, const std::string &existingDotFileName, const std::string &dumpDir, const armnn::NetworkId networkId)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00575">CanonicalUtils.cpp:575</a></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="_permute_8hpp_xhtml"><div class="ttname"><a href="_permute_8hpp.xhtml">Permute.hpp</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="_i_serializer_8hpp_xhtml"><div class="ttname"><a href="_i_serializer_8hpp.xhtml">ISerializer.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00048">Types.hpp:48</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a31f074135a3dba97d9baf1dffd0a07fd"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a31f074135a3dba97d9baf1dffd0a07fd">armnn_driver::SerializeNetwork</a></div><div class="ttdeci">std::string SerializeNetwork(const armnn::INetwork &network, const std::string &dumpDir, std::vector< uint8_t > &dataCacheData, bool dataCachingActive)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00427">CanonicalUtils.cpp:427</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a915f2652854e417e26afc297f12e107c"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a915f2652854e417e26afc297f12e107c">armnn_driver::GetMemoryFromPointer</a></div><div class="ttdeci">void * GetMemoryFromPointer(const Request::Argument &requestArg)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00077">CanonicalUtils.cpp:77</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00198">Tensor.hpp:198</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_optimized_network_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.xhtml">armnn::IOptimizedNetwork</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00770">INetwork.hpp:770</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a0b49aa352b84d572942185ce72cef751"><div class="ttname"><a href="namespacearmnn.xhtml#a0b49aa352b84d572942185ce72cef751">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.xhtml#l00022">Half.hpp:22</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="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a0d8160388a127c1a23b37bc88dc6e2ec"><div class="ttname"><a href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a></div><div class="ttdeci">int NetworkId</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00035">IRuntime.hpp:35</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_tensor.xhtml">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.xhtml#l00327">Tensor.hpp:327</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div>
<div class="ttc" id="_utils_8hpp_xhtml_abbf421eb1186af0d505648ed2ea54a00"><div class="ttname"><a href="_utils_8hpp.xhtml#abbf421eb1186af0d505648ed2ea54a00">ARMNN_FALLTHROUGH</a></div><div class="ttdeci">#define ARMNN_FALLTHROUGH</div><div class="ttdef"><b>Definition:</b> <a href="_utils_8hpp_source.xhtml#l00037">Utils.hpp:37</a></div></div>
<div class="ttc" id="_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div>
<div class="ttc" id="namespaceandroid_1_1nn_xhtml"><div class="ttname"><a href="namespaceandroid_1_1nn.xhtml">android::nn</a></div><div class="ttdef"><b>Definition:</b> <a href="support__library__service_8cpp_source.xhtml#l00010">support_library_service.cpp:10</a></div></div>
<div class="ttc" id="classarmnn_1_1_permutation_vector_xhtml"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00295">Types.hpp:295</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a208149d5c08f84debf8b265bb508fe02"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a208149d5c08f84debf8b265bb508fe02">armnn_driver::IsDynamicTensor</a></div><div class="ttdeci">bool IsDynamicTensor(const armnn::TensorInfo &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.xhtml#l00486">CanonicalUtils.cpp:486</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_profiler_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_profiler.xhtml">armnn::IProfiler</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_profiler_8hpp_source.xhtml#l00021">IProfiler.hpp:21</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Dimensionality::Scalar</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_ac0532f3c7d143a04aee7f5991ee5d381"><div class="ttname"><a href="namespacearmnn__driver.xhtml#ac0532f3c7d143a04aee7f5991ee5d381">armnn_driver::GetOperandSummary</a></div><div class="ttdeci">std::string GetOperandSummary(const Operand &operand)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00189">CanonicalUtils.cpp:189</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a5304cf930377fc082e7494d20de2be12"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a5304cf930377fc082e7494d20de2be12">armnn_driver::ExportNetworkGraphToDotFile</a></div><div class="ttdeci">std::string ExportNetworkGraphToDotFile(const armnn::IOptimizedNetwork &optimizedNetwork, const std::string &dumpDir)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00387">CanonicalUtils.cpp:387</a></div></div>
<div class="ttc" id="_assert_8hpp_xhtml"><div class="ttname"><a href="_assert_8hpp.xhtml">Assert.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_1_1_i_optimized_network_xhtml_a26794f014974a6f963a8925de07bffeb"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.xhtml#a26794f014974a6f963a8925de07bffeb">armnn::IOptimizedNetwork::SerializeToDot</a></div><div class="ttdeci">Status SerializeToDot(std::ostream &stream) const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00485">Network.cpp:485</a></div></div>
<div class="ttc" id="classarmnn_serializer_1_1_i_serializer_xhtml_a3c51b5b078572dee02528bfae7202524"><div class="ttname"><a href="classarmnn_serializer_1_1_i_serializer.xhtml#a3c51b5b078572dee02528bfae7202524">armnnSerializer::ISerializer::Create</a></div><div class="ttdeci">static ISerializerPtr Create()</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_8cpp_source.xhtml#l00035">Serializer.cpp:35</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_ab3c135a0d4b1152f6b989ea6afddd6bc"><div class="ttname"><a href="namespacearmnn__driver.xhtml#ab3c135a0d4b1152f6b989ea6afddd6bc">armnn_driver::isQuantizedOperand</a></div><div class="ttdeci">bool isQuantizedOperand(const OperandType &operandType)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00505">CanonicalUtils.cpp:505</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a7c1c80ee0f432b6b621c40571410195a"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a7c1c80ee0f432b6b621c40571410195a">armnn_driver::CommitPools</a></div><div class="ttdeci">void CommitPools(std::vector<::android::nn::RunTimePoolInfo > &memPools)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00610">CanonicalUtils.cpp:610</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a419cd7b9bad83f31f6db8ba9a3b9517a"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a419cd7b9bad83f31f6db8ba9a3b9517a">armnn_driver::GetFileTimestamp</a></div><div class="ttdeci">std::string GetFileTimestamp()</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00555">CanonicalUtils.cpp:555</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a00b317cd97319ac7b6a248a768ceb201"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a00b317cd97319ac7b6a248a768ceb201">armnn_driver::RenameFile</a></div><div class="ttdeci">void RenameFile(const std::string &existingName, const std::string &extension, const std::string &dumpDir, const armnn::NetworkId networkId)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00588">CanonicalUtils.cpp:588</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00195">Tensor.hpp:195</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>
<div class="ttc" id="namespacearmnn_utils_xhtml_abeaf4f6785039866fd075f4569ba8e84"><div class="ttname"><a href="namespacearmnn_utils.xhtml#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a></div><div class="ttdeci">armnn::TensorShape Permuted(const armnn::TensorShape &srcShape, const armnn::PermutationVector &mappings)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_8cpp_source.xhtml#l00098">Permute.cpp:98</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_aa313ae79f70102e3451d45d3387c2e46"><div class="ttname"><a href="namespacearmnn__driver.xhtml#aa313ae79f70102e3451d45d3387c2e46">armnn_driver::DumpJsonProfilingIfRequired</a></div><div class="ttdeci">void DumpJsonProfilingIfRequired(bool gpuProfilingEnabled, const std::string &dumpDir, armnn::NetworkId networkId, const armnn::IProfiler *profiler)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00350">CanonicalUtils.cpp:350</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_aa02b9e06fb20fa3c13da0427e6ee5ab2"><div class="ttname"><a href="namespacearmnn.xhtml#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.xhtml#l00151">TypesUtils.hpp:151</a></div></div>
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