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<div class="title">Debug.cpp</div> </div>
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<a href="_debug_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 &quot;<a class="code" href="_debug_8hpp.html">Debug.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_half_8hpp.html">Half.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/numeric/conversion/cast.hpp&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;algorithm&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;iostream&gt;</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;{</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;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a5aae369ef847a00062925cea8e9be9c4"> 19</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#a5aae369ef847a00062925cea8e9be9c4">Debug</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputInfo,</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; <span class="keyword">const</span> T* inputData,</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <a class="code" href="classarmnn_1_1profiling_1_1_profiling_guid.html">LayerGuid</a> guid,</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; <span class="keyword">const</span> std::string&amp; layerName,</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIndex)</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="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDims = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numElements = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>();</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; inputShape = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; std::vector&lt;unsigned int&gt; strides(numDims, 0);</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; strides[numDims - 1] = inputShape[numDims - 1];</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 2; i &lt;= numDims; i++)</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; {</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; strides[numDims - i] = strides[numDims - i + 1] * inputShape[numDims - i];</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; std::cout &lt;&lt; <span class="stringliteral">&quot;{ &quot;</span>;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot;\&quot;layerGuid\&quot;: &quot;</span> &lt;&lt; guid &lt;&lt; <span class="stringliteral">&quot;, &quot;</span>;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot;\&quot;layerName\&quot;: \&quot;&quot;</span> &lt;&lt; layerName &lt;&lt; <span class="stringliteral">&quot;\&quot;, &quot;</span>;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot;\&quot;outputSlot\&quot;: &quot;</span> &lt;&lt; slotIndex &lt;&lt; <span class="stringliteral">&quot;, &quot;</span>;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot;\&quot;shape\&quot;: &quot;</span>;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot;[&quot;</span>;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numDims; i++)</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; std::cout &lt;&lt; inputShape[i];</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="keywordflow">if</span> (i != numDims - 1)</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot;, &quot;</span>;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; }</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; }</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot;], &quot;</span>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot;\&quot;min\&quot;: &quot;</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; &lt;&lt; boost::numeric_cast&lt;<span class="keywordtype">float</span>&gt;(*std::min_element(inputData, inputData + numElements)) &lt;&lt; <span class="stringliteral">&quot;, &quot;</span>;</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; std::cout &lt;&lt; <span class="stringliteral">&quot;\&quot;max\&quot;: &quot;</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; &lt;&lt; boost::numeric_cast&lt;<span class="keywordtype">float</span>&gt;(*std::max_element(inputData, inputData + numElements)) &lt;&lt; <span class="stringliteral">&quot;, &quot;</span>;</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; std::cout &lt;&lt; <span class="stringliteral">&quot;\&quot;data\&quot;: &quot;</span>;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numElements; i++)</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; {</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = 0; j &lt; numDims; j++)</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; {</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordflow">if</span> (i % strides[j] == 0)</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; {</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot;[&quot;</span> ;</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; }</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; std::cout &lt;&lt; boost::numeric_cast&lt;float&gt;(inputData[i]);</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">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = 0; j &lt; numDims; j++)</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; <span class="keywordflow">if</span> ((i+1) % strides[j] == 0)</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; std::cout &lt;&lt; <span class="stringliteral">&quot;]&quot;</span> ;</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; }</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keywordflow">if</span> (i != numElements - 1)</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; std::cout &lt;&lt; <span class="stringliteral">&quot;, &quot;</span>;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; }</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;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot; }&quot;</span> &lt;&lt; std::endl;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;}</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;<span class="keyword">template</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#a3b0ab9518e3fd6a0447c174df57a313c">Debug&lt;Half&gt;</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputInfo,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">Half</a>* inputData,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <a class="code" href="classarmnn_1_1profiling_1_1_profiling_guid.html">LayerGuid</a> guid,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keyword">const</span> std::string&amp; layerName,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIndex);</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;<span class="keyword">template</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#a26abbe393a88835dd569523bec69719b">Debug&lt;float&gt;</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputInfo,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span>* inputData,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <a class="code" href="classarmnn_1_1profiling_1_1_profiling_guid.html">LayerGuid</a> guid,</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keyword">const</span> std::string&amp; layerName,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIndex);</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;<span class="keyword">template</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#a1121718a486db835afa99328650e7e89">Debug&lt;uint8_t&gt;</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputInfo,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keyword">const</span> uint8_t* inputData,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <a class="code" href="classarmnn_1_1profiling_1_1_profiling_guid.html">LayerGuid</a> guid,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <span class="keyword">const</span> std::string&amp; layerName,</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIndex);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;<span class="keyword">template</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#ac2167b3a09fab7c9b58af461bd990c3b">Debug&lt;int8_t&gt;</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputInfo,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="keyword">const</span> int8_t* inputData,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <a class="code" href="classarmnn_1_1profiling_1_1_profiling_guid.html">LayerGuid</a> guid,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keyword">const</span> std::string&amp; layerName,</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIndex);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;<span class="keyword">template</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#acc771f233bb7884932260ba353118b46">Debug&lt;int16_t&gt;</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputInfo,</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <span class="keyword">const</span> int16_t* inputData,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <a class="code" href="classarmnn_1_1profiling_1_1_profiling_guid.html">LayerGuid</a> guid,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <span class="keyword">const</span> std::string&amp; layerName,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIndex);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;<span class="keyword">template</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#a7c1cb9cf0678f74b1dcfff310d1475fd">Debug&lt;int32_t&gt;</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputInfo,</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="keyword">const</span> int32_t* inputData,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <a class="code" href="classarmnn_1_1profiling_1_1_profiling_guid.html">LayerGuid</a> guid,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="keyword">const</span> std::string&amp; layerName,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIndex);</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"> 127</span>&#160;} <span class="comment">// namespace armnn</span></div><div class="ttc" id="namespacearmnn_html_a0f38fa92b2468d5378258a2b074c1a31"><div class="ttname"><a href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.html#l00016">Half.hpp:16</a></div></div>
<div class="ttc" id="namespacearmnn_html_a5aae369ef847a00062925cea8e9be9c4"><div class="ttname"><a href="namespacearmnn.html#a5aae369ef847a00062925cea8e9be9c4">armnn::Debug</a></div><div class="ttdeci">void Debug(const TensorInfo &amp;inputInfo, const T *inputData, LayerGuid guid, const std::string &amp;layerName, unsigned int slotIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_debug_8cpp_source.html#l00019">Debug.cpp:19</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00092">Tensor.hpp:92</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="namespacearmnn_html_acc771f233bb7884932260ba353118b46"><div class="ttname"><a href="namespacearmnn.html#acc771f233bb7884932260ba353118b46">armnn::Debug&lt; int16_t &gt;</a></div><div class="ttdeci">template void Debug&lt; int16_t &gt;(const TensorInfo &amp;inputInfo, const int16_t *inputData, LayerGuid guid, const std::string &amp;layerName, unsigned int slotIndex)</div></div>
<div class="ttc" id="namespacearmnn_html_a7c1cb9cf0678f74b1dcfff310d1475fd"><div class="ttname"><a href="namespacearmnn.html#a7c1cb9cf0678f74b1dcfff310d1475fd">armnn::Debug&lt; int32_t &gt;</a></div><div class="ttdeci">template void Debug&lt; int32_t &gt;(const TensorInfo &amp;inputInfo, const int32_t *inputData, LayerGuid guid, const std::string &amp;layerName, unsigned int slotIndex)</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="namespacearmnn_html_a26abbe393a88835dd569523bec69719b"><div class="ttname"><a href="namespacearmnn.html#a26abbe393a88835dd569523bec69719b">armnn::Debug&lt; float &gt;</a></div><div class="ttdeci">template void Debug&lt; float &gt;(const TensorInfo &amp;inputInfo, const float *inputData, LayerGuid guid, const std::string &amp;layerName, unsigned int slotIndex)</div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00093">Tensor.hpp:93</a></div></div>
<div class="ttc" id="_debug_8hpp_html"><div class="ttname"><a href="_debug_8hpp.html">Debug.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_html_a1121718a486db835afa99328650e7e89"><div class="ttname"><a href="namespacearmnn.html#a1121718a486db835afa99328650e7e89">armnn::Debug&lt; uint8_t &gt;</a></div><div class="ttdeci">template void Debug&lt; uint8_t &gt;(const TensorInfo &amp;inputInfo, const uint8_t *inputData, LayerGuid guid, const std::string &amp;layerName, unsigned int slotIndex)</div></div>
<div class="ttc" id="namespacearmnn_html_a3b0ab9518e3fd6a0447c174df57a313c"><div class="ttname"><a href="namespacearmnn.html#a3b0ab9518e3fd6a0447c174df57a313c">armnn::Debug&lt; Half &gt;</a></div><div class="ttdeci">template void Debug&lt; Half &gt;(const TensorInfo &amp;inputInfo, const Half *inputData, LayerGuid guid, const std::string &amp;layerName, unsigned int slotIndex)</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="classarmnn_1_1profiling_1_1_profiling_guid_html"><div class="ttname"><a href="classarmnn_1_1profiling_1_1_profiling_guid.html">armnn::profiling::ProfilingGuid</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00249">Types.hpp:249</a></div></div>
<div class="ttc" id="namespacearmnn_html_ac2167b3a09fab7c9b58af461bd990c3b"><div class="ttname"><a href="namespacearmnn.html#ac2167b3a09fab7c9b58af461bd990c3b">armnn::Debug&lt; int8_t &gt;</a></div><div class="ttdeci">template void Debug&lt; int8_t &gt;(const TensorInfo &amp;inputInfo, const int8_t *inputData, LayerGuid guid, const std::string &amp;layerName, unsigned int slotIndex)</div></div>
<div class="ttc" id="_half_8hpp_html"><div class="ttname"><a href="_half_8hpp.html">Half.hpp</a></div></div>
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