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+<a href="_tensor_utils_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_utils_8hpp.html">armnnUtils/TensorUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="include_2armnn_2backends_2_i_tensor_handle_8hpp.html">armnn/backends/ITensorHandle.hpp</a>&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;</div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &lt;boost/assert.hpp&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &lt;boost/format.hpp&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &lt;boost/numeric/conversion/cast.hpp&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;</div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;</div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn_utils.html">armnnUtils</a></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;{</div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;</div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="namespacearmnn_utils.html#ab53d94ea22b51c6bcdf9584644bd67bb">   19</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> <a class="code" href="namespacearmnn_utils.html#ab53d94ea22b51c6bcdf9584644bd67bb">GetTensorShape</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numberOfBatches,</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;                                  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numberOfChannels,</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;                                  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height,</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;                                  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width,</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;                                  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout)</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;{</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;    <span class="keywordflow">switch</span> (dataLayout)</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;    {</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>:</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>({numberOfBatches, numberOfChannels, height, width});</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>:</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>({numberOfBatches, height, width, numberOfChannels});</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;        <span class="keywordflow">default</span>:</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;            <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">&quot;Unknown data layout [&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;                                                  + std::to_string(static_cast&lt;int&gt;(dataLayout)) +</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;                                                  <span class="stringliteral">&quot;]&quot;</span>, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    }</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;}</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;</div><div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="namespacearmnn_utils.html#acee63cd08da47910fc166a1990988fa8">   38</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> <a class="code" href="namespacearmnn.html#a93d269806f34407695dc10f510001c30">GetTensorInfo</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numberOfBatches,</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;                                <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numberOfChannels,</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;                                <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height,</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;                                <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width,</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;                                <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout,</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;                                <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType)</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;{</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    <span class="keywordflow">switch</span> (dataLayout)</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    {</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>:</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>({numberOfBatches, numberOfChannels, height, width}, dataType);</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>:</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>({numberOfBatches, height, width, numberOfChannels}, dataType);</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;        <span class="keywordflow">default</span>:</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;            <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">&quot;Unknown data layout [&quot;</span></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;                                                  + std::to_string(static_cast&lt;int&gt;(dataLayout)) +</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;                                                  <span class="stringliteral">&quot;]&quot;</span>, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    }</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;}</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="namespacearmnn_utils.html#a1c9097ab13afc54b48c503c6487aaee1">   58</a></span>&#160;std::pair&lt;float, float&gt; <a class="code" href="namespacearmnn_utils.html#a1c9097ab13afc54b48c503c6487aaee1">FindMinMax</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* tensorHandle)</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;{</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    <span class="keyword">auto</span> tensor_data = <span class="keyword">static_cast&lt;</span><span class="keyword">const </span><span class="keywordtype">float</span> *<span class="keyword">&gt;</span>(tensorHandle-&gt;<a class="code" href="classarmnn_1_1_i_tensor_handle.html#a9afbc055a017adf1bc38ee137bca6e90">Map</a>(<span class="keyword">true</span>));</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    <span class="keyword">auto</span> tensor_size = tensorHandle-&gt;<a class="code" href="classarmnn_1_1_i_tensor_handle.html#affd5aae75cad90f472f96cfd25a13f29">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>();</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    <span class="comment">// Set min/max initially to first value in tensor</span></div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    <span class="keywordtype">float</span> min = tensor_data[0];</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    <span class="keywordtype">float</span> max = tensor_data[0];</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    <span class="comment">// Loop over rest of tensor and update min/max if necessary</span></div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> val = 1; val &lt; tensor_size; val++)</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    {</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;        <span class="keywordflow">if</span> (tensor_data[val] &lt; min)</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;        {</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;            min = tensor_data[val];</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;        }</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;        <span class="keywordflow">else</span> <span class="keywordflow">if</span> (tensor_data[val] &gt; max)</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;        {</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;            max = tensor_data[val];</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;        }</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    }</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    tensorHandle-&gt;<a class="code" href="classarmnn_1_1_i_tensor_handle.html#a563609828050f1b3a7868c23f3365923">Unmap</a>();</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    <span class="keywordflow">return</span> std::make_pair(min, max);</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;}</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="namespacearmnn_utils.html#a0d3b1be320610515e0cac8d745d9f8c2">   85</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> <a class="code" href="namespacearmnn_utils.html#a0d3b1be320610515e0cac8d745d9f8c2">ExpandDims</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; tensorShape, <span class="keywordtype">int</span> axis)</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;{</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputDim = tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() + 1;</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    <span class="keywordflow">if</span> (axis &lt; -boost::numeric_cast&lt;int&gt;(outputDim) || axis &gt; boost::numeric_cast&lt;int&gt;(tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()))</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    {</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;            boost::str(boost::format(<span class="stringliteral">&quot;Invalid expansion axis %1% for %2%D input tensor. %3%&quot;</span>) %</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;                       axis %</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;                       tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() %</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;                       <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    }</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    <span class="keywordflow">if</span> (axis &lt; 0)</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    {</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;        axis = boost::numeric_cast&lt;<span class="keywordtype">int</span>&gt;(outputDim) + axis;</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    }</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    std::vector&lt;unsigned int&gt; outputShape;</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++i)</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    {</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;        outputShape.push_back(tensorShape[i]);</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    }</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;    outputShape.insert(outputShape.begin() + axis, 1);</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>(outputDim, outputShape.data());</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;}</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;</div><div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="namespacearmnn_utils.html#af57864f5e03358d14c2988edae912b8b">  113</a></span>&#160;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearmnn_utils.html#af57864f5e03358d14c2988edae912b8b">GetNumElementsBetween</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; shape,</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;                                   <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> firstAxisInclusive,</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;                                   <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> lastAxisExclusive)</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;{</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    BOOST_ASSERT(firstAxisInclusive &lt;= lastAxisExclusive);</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    BOOST_ASSERT(lastAxisExclusive &lt;= shape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> count = 1;</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = firstAxisInclusive; i &lt; lastAxisExclusive; i++)</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    {</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;        count *= shape[i];</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    }</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    <span class="keywordflow">return</span> count;</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;}</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;</div><div class="line"><a name="l00127"></a><span class="lineno"><a class="line" href="namespacearmnn_utils.html#ac93cb1365b4bcb67df2a3164606096c5">  127</a></span>&#160;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearmnn_utils.html#ac93cb1365b4bcb67df2a3164606096c5">GetUnsignedAxis</a>(<span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputDimension, <span class="keyword">const</span> <span class="keywordtype">int</span> axis)</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;{</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    BOOST_ASSERT_MSG(axis &lt; boost::numeric_cast&lt;int&gt;(inputDimension),</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;                     <span class="stringliteral">&quot;Required axis index greater than number of dimensions.&quot;</span>);</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    BOOST_ASSERT_MSG(axis &gt;= -boost::numeric_cast&lt;int&gt;(inputDimension),</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;                     <span class="stringliteral">&quot;Required axis index lower than negative of the number of dimensions&quot;</span>);</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> uAxis = axis &lt; 0  ?</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;                         inputDimension - boost::numeric_cast&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt;(<a class="code" href="structarmnn_1_1abs.html">abs</a>(axis))</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;                         : boost::numeric_cast&lt;unsigned int&gt;(axis);</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    <span class="keywordflow">return</span> uAxis;</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;}</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;</div><div class="line"><a name="l00140"></a><span class="lineno"><a class="line" href="namespacearmnn_utils.html#a276aac5f7a8bdc3db4f62203870ca13b">  140</a></span>&#160;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearmnn_utils.html#a276aac5f7a8bdc3db4f62203870ca13b">GetNumElementsAfter</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>&amp; shape, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axis)</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;{</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDim = shape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    BOOST_ASSERT(axis &lt;= numDim - 1);</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> count = 1;</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = axis; i &lt; numDim; i++)</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    {</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;        count *= shape[i];</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    }</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    <span class="keywordflow">return</span> count;</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;}</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;</div><div class="line"><a name="l00152"></a><span class="lineno"><a class="line" href="namespacearmnn_utils.html#a1826e433f7e6817976a8175b4ef8296c">  152</a></span>&#160;std::pair&lt;unsigned int, std::vector&lt;float&gt;&gt; <a class="code" href="namespacearmnn_utils.html#a1826e433f7e6817976a8175b4ef8296c">GetPerAxisParams</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;{</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    <span class="keyword">const</span> std::vector&lt;float&gt;&amp; scales = info.<a class="code" href="classarmnn_1_1_tensor_info.html#a8bc11f1fa23ef42532f9fdd04d355270">GetQuantizationScales</a>();</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    <a class="code" href="classarmnn_1_1_optional.html">armnn::Optional&lt;unsigned int&gt;</a> quantizationDim = info.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b8fc85ce966c035d789cf22db5088a1">GetQuantizationDim</a>();</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    <span class="keywordflow">if</span> (!info.<a class="code" href="classarmnn_1_1_tensor_info.html#ab85cd8cc10c96a7c99c14042c251fc48">HasPerAxisQuantization</a>())</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    {</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;            std::string(<span class="stringliteral">&quot;Per-axis quantization params not set for tensor of type &quot;</span>) +</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;            <a class="code" href="namespacearmnn.html#a81b5ff8545adad19a1c9d4ca076d552c">armnn::GetDataTypeName</a>(info.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>()), <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    }</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160; 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+<div class="ttc" id="classarmnn_1_1_tensor_info_html_ab85cd8cc10c96a7c99c14042c251fc48"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#ab85cd8cc10c96a7c99c14042c251fc48">armnn::TensorInfo::HasPerAxisQuantization</a></div><div class="ttdeci">bool HasPerAxisQuantization() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00232">Tensor.cpp:232</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00043">Tensor.hpp:43</a></div></div>
+<div class="ttc" id="namespacearmnn_utils_html_a1c9097ab13afc54b48c503c6487aaee1"><div class="ttname"><a href="namespacearmnn_utils.html#a1c9097ab13afc54b48c503c6487aaee1">armnnUtils::FindMinMax</a></div><div class="ttdeci">std::pair&lt; float, float &gt; FindMinMax(armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00058">TensorUtils.cpp:58</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div>
+<div class="ttc" id="namespacearmnn_utils_html_ac93cb1365b4bcb67df2a3164606096c5"><div class="ttname"><a href="namespacearmnn_utils.html#ac93cb1365b4bcb67df2a3164606096c5">armnnUtils::GetUnsignedAxis</a></div><div class="ttdeci">unsigned int GetUnsignedAxis(const unsigned int inputDimension, const int axis)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00127">TensorUtils.cpp:127</a></div></div>
+<div class="ttc" id="classarmnn_1_1_optional_html"><div class="ttname"><a href="classarmnn_1_1_optional.html">armnn::Optional&lt; unsigned int &gt;</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="_tensor_utils_8hpp_html"><div class="ttname"><a href="_tensor_utils_8hpp.html">TensorUtils.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_tensor_handle_html_a9afbc055a017adf1bc38ee137bca6e90"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#a9afbc055a017adf1bc38ee137bca6e90">armnn::ITensorHandle::Map</a></div><div class="ttdeci">virtual const void * Map(bool blocking=true) const =0</div></div>
+<div class="ttc" id="include_2armnn_2backends_2_i_tensor_handle_8hpp_html"><div class="ttname"><a href="include_2armnn_2backends_2_i_tensor_handle_8hpp.html">ITensorHandle.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.html#l00016">ITensorHandle.hpp:16</a></div></div>
+<div class="ttc" id="_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00169">Exceptions.hpp:169</a></div></div>
+<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_tensor_handle_html_affd5aae75cad90f472f96cfd25a13f29"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#affd5aae75cad90f472f96cfd25a13f29">armnn::ITensorHandle::GetShape</a></div><div class="ttdeci">virtual TensorShape GetShape() const =0</div></div>
+<div class="ttc" id="namespacearmnn_utils_html"><div class="ttname"><a href="namespacearmnn_utils.html">armnnUtils</a></div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00013">DataLayoutIndexed.hpp:13</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b8fc85ce966c035d789cf22db5088a1"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b8fc85ce966c035d789cf22db5088a1">armnn::TensorInfo::GetQuantizationDim</a></div><div class="ttdeci">Optional&lt; unsigned int &gt; GetQuantizationDim() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00280">Tensor.cpp:280</a></div></div>
+<div class="ttc" id="namespacearmnn_utils_html_a1826e433f7e6817976a8175b4ef8296c"><div class="ttname"><a href="namespacearmnn_utils.html#a1826e433f7e6817976a8175b4ef8296c">armnnUtils::GetPerAxisParams</a></div><div class="ttdeci">std::pair&lt; unsigned int, std::vector&lt; float &gt; &gt; GetPerAxisParams(const armnn::TensorInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00152">TensorUtils.cpp:152</a></div></div>
+<div class="ttc" id="namespacearmnn_utils_html_a0d3b1be320610515e0cac8d745d9f8c2"><div class="ttname"><a href="namespacearmnn_utils.html#a0d3b1be320610515e0cac8d745d9f8c2">armnnUtils::ExpandDims</a></div><div class="ttdeci">armnn::TensorShape ExpandDims(const armnn::TensorShape &amp;tensorShape, int axis)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00085">TensorUtils.cpp:85</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_shape_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorShape::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00106">Tensor.cpp:106</a></div></div>
+<div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8bc11f1fa23ef42532f9fdd04d355270"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8bc11f1fa23ef42532f9fdd04d355270">armnn::TensorInfo::GetQuantizationScales</a></div><div class="ttdeci">std::vector&lt; float &gt; GetQuantizationScales() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00237">Tensor.cpp:237</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_tensor_handle_html_a563609828050f1b3a7868c23f3365923"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#a563609828050f1b3a7868c23f3365923">armnn::ITensorHandle::Unmap</a></div><div class="ttdeci">virtual void Unmap() const =0</div><div class="ttdoc">Unmap the tensor data. </div></div>
+<div class="ttc" id="structarmnn_1_1abs_html"><div class="ttname"><a href="structarmnn_1_1abs.html">armnn::abs</a></div><div class="ttdef"><b>Definition:</b> <a href="_abs_8hpp_source.html#l00013">Abs.hpp:13</a></div></div>
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+<div class="ttc" id="classarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00095">Tensor.hpp:95</a></div></div>
+<div class="ttc" id="namespacearmnn_utils_html_af57864f5e03358d14c2988edae912b8b"><div class="ttname"><a href="namespacearmnn_utils.html#af57864f5e03358d14c2988edae912b8b">armnnUtils::GetNumElementsBetween</a></div><div class="ttdeci">unsigned int GetNumElementsBetween(const armnn::TensorShape &amp;shape, unsigned int firstAxisInclusive, unsigned int lastAxisExclusive)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00113">TensorUtils.cpp:113</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00088">Tensor.hpp:88</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a81b5ff8545adad19a1c9d4ca076d552c"><div class="ttname"><a href="namespacearmnn.html#a81b5ff8545adad19a1c9d4ca076d552c">armnn::GetDataTypeName</a></div><div class="ttdeci">constexpr const char * GetDataTypeName(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.html#l00165">TypesUtils.hpp:165</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a93d269806f34407695dc10f510001c30"><div class="ttname"><a href="namespacearmnn.html#a93d269806f34407695dc10f510001c30">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers </div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00025">RefWorkloadUtils.hpp:25</a></div></div>
+<div class="ttc" id="namespacearmnn_utils_html_a276aac5f7a8bdc3db4f62203870ca13b"><div class="ttname"><a href="namespacearmnn_utils.html#a276aac5f7a8bdc3db4f62203870ca13b">armnnUtils::GetNumElementsAfter</a></div><div class="ttdeci">unsigned int GetNumElementsAfter(const armnn::TensorShape &amp;shape, unsigned int axis)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00140">TensorUtils.cpp:140</a></div></div>
+<div class="ttc" id="classarmnn_1_1_optional_reference_switch_html_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">armnn::OptionalReferenceSwitch::value</a></div><div class="ttdeci">const T &amp; value() const</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00146">Optional.hpp:146</a></div></div>
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