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<div class="title">RefWorkloadUtils.hpp</div> </div>
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<a href="_ref_workload_utils_8hpp.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 © 2017-2023 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">#pragma once</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="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.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;<a class="code" href="_tensor_8hpp.html">armnn/Tensor.hpp</a>&gt;</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_types_8hpp.html">armnn/Types.hpp</a>&gt;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_polymorphic_downcast_8hpp.html">armnn/utility/PolymorphicDowncast.hpp</a>&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="preprocessor">#include &lt;<a class="code" href="_ref_tensor_handle_8hpp.html">reference/RefTensorHandle.hpp</a>&gt;</span></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="preprocessor">#include &lt;<a class="code" href="_b_float16_8hpp.html">BFloat16.hpp</a>&gt;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</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="l00018"></a><span class="lineno"> 18</span>&#160; </div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;{<span class="comment"></span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment">/// Creates a profiling event that uses GetGuid() and GetName() from the calling class</span></div>
<div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="_ref_workload_utils_8hpp.html#a06acca4fd832e0fb179604112c0505af"> 22</a></span>&#160;<span class="comment"></span><span class="preprocessor">#define ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID(label) \</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="preprocessor">ARMNN_SCOPED_PROFILING_EVENT_WITH_INSTRUMENTS(armnn::Compute::CpuRef, \</span></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor"> this-&gt;GetGuid(), \</span></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor"> this-&gt;GetName() + &quot;_&quot; + label, \</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="preprocessor"> armnn::WallClockTimer())</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="comment">////////////////////////////////////////////</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="comment">/// float32 helpers</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="comment">////////////////////////////////////////////</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> TensorHandleType = RefTensorHandle&gt;</div>
<div class="line"><a name="l00033"></a><span class="lineno"><a class="line" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b"> 33</a></span>&#160;<span class="keyword">inline</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* tensorHandle)</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;{</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="comment">// We know that reference workloads use RefTensorHandles for inputs and outputs</span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="keyword">const</span> TensorHandleType* refTensorHandle =</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; PolymorphicDowncast&lt;const TensorHandleType*&gt;(tensorHandle);</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keywordflow">return</span> refTensorHandle-&gt;GetTensorInfo();</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;}</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; </div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> DataType, <span class="keyword">typename</span> PayloadType&gt;</div>
<div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a2187ea15b1ae8c323a0cc5c211fc43d9"> 42</a></span>&#160;<span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>* <a class="code" href="namespacearmnn.html#a2187ea15b1ae8c323a0cc5c211fc43d9">GetInputTensorData</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType&amp; data)</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;{</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* tensorHandle = data.m_Inputs[idx];</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span><a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>*<span class="keyword">&gt;</span>(tensorHandle-&gt;<a class="code" href="classarmnn_1_1_i_tensor_handle.html#a9afbc055a017adf1bc38ee137bca6e90">Map</a>());</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; </div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> DataType, <span class="keyword">typename</span> PayloadType&gt;</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>* <a class="code" href="namespacearmnn.html#ae9f37e0b5f15afd89a29788a319da9ec">GetOutputTensorData</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType&amp; data)</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; ITensorHandle* tensorHandle = data.m_Outputs[idx];</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast&lt;</span><a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>*<span class="keyword">&gt;</span>(tensorHandle-&gt;Map());</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; </div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> DataType&gt;</div>
<div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a5442d22144b3608bcfc7eea1bc55e35d"> 56</a></span>&#160;<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>* <a class="code" href="namespacearmnn.html#ae9f37e0b5f15afd89a29788a319da9ec">GetOutputTensorData</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* tensorHandle)</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"> 58</span>&#160; <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast&lt;</span><a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>*<span class="keyword">&gt;</span>(tensorHandle-&gt;<a class="code" href="classarmnn_1_1_i_tensor_handle.html#a9afbc055a017adf1bc38ee137bca6e90">Map</a>());</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; </div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> PayloadType&gt;</div>
<div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a691846a9eee59b0cd5b22fb5f674e007"> 62</a></span>&#160;<span class="keyword">const</span> <span class="keywordtype">float</span>* <a class="code" href="namespacearmnn.html#a691846a9eee59b0cd5b22fb5f674e007">GetInputTensorDataFloat</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType&amp; data)</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">return</span> GetInputTensorData&lt;float&gt;(idx, data);</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; </div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> PayloadType&gt;</div>
<div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ab5f0afc1e37fd100843ecd55d8f284c1"> 68</a></span>&#160;<span class="keywordtype">float</span>* <a class="code" href="namespacearmnn.html#ab5f0afc1e37fd100843ecd55d8f284c1">GetOutputTensorDataFloat</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType&amp; data)</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">return</span> GetOutputTensorData&lt;float&gt;(idx, data);</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; </div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> PayloadType&gt;</div>
<div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a084b0ce273bef78aa314bd97fc574b84"> 74</a></span>&#160;<span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">Half</a>* <a class="code" href="namespacearmnn.html#a084b0ce273bef78aa314bd97fc574b84">GetInputTensorDataHalf</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType&amp; data)</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">return</span> GetInputTensorData&lt;Half&gt;(idx, data);</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;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> PayloadType&gt;</div>
<div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ab98e77207c3d676b0b9ffa67357dbc6a"> 80</a></span>&#160;<a class="code" href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">Half</a>* <a class="code" href="namespacearmnn.html#ab98e77207c3d676b0b9ffa67357dbc6a">GetOutputTensorDataHalf</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType&amp; data)</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> GetOutputTensorData&lt;Half&gt;(idx, data);</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"> 85</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> PayloadType&gt;</div>
<div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ac44cb4d413a43342b120b2c4d047d648"> 86</a></span>&#160;<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_b_float16.html">BFloat16</a>* <a class="code" href="namespacearmnn.html#ac44cb4d413a43342b120b2c4d047d648">GetInputTensorDataBFloat16</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType&amp; data)</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;{</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="keywordflow">return</span> GetInputTensorData&lt;BFloat16&gt;(idx, data);</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> &lt;<span class="keyword">typename</span> PayloadType&gt;</div>
<div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a85ace5e5f41a093622a8c04150d24c60"> 92</a></span>&#160;<a class="code" href="classarmnn_1_1_b_float16.html">BFloat16</a>* <a class="code" href="namespacearmnn.html#a85ace5e5f41a093622a8c04150d24c60">GetOutputTensorDataBFloat16</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType&amp; data)</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;{</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keywordflow">return</span> GetOutputTensorData&lt;BFloat16&gt;(idx, data);</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;}</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;<span class="comment">////////////////////////////////////////////</span></div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;<span class="comment">/// u8 helpers</span></div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;<span class="comment">////////////////////////////////////////////</span></div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a4144d7535639c617fca0d095379493f0"> 102</a></span>&#160;std::vector&lt;float&gt; <a class="code" href="namespacearmnn.html#a855293b1be0581fb61ef6a1c5b027d0f">Dequantize</a>(<span class="keyword">const</span> T* quant, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; info)</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;{</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; std::vector&lt;float&gt; ret(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetNumElements());</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetNumElements(); i++)</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; {</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; ret[i] = <a class="code" href="namespacearmnn.html#a855293b1be0581fb61ef6a1c5b027d0f">armnn::Dequantize</a>(quant[i], <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(), <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</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="keywordflow">return</span> ret;</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;}</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;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a1204727d8ce3ee1e60daf08079eb892e"> 113</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#a855293b1be0581fb61ef6a1c5b027d0f">Dequantize</a>(<span class="keyword">const</span> T* inputData, <span class="keywordtype">float</span>* outputData, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; info)</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="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetNumElements(); i++)</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; outputData[i] = Dequantize&lt;T&gt;(inputData[i], <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(), <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; }</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160;}</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"><a class="line" href="namespacearmnn.html#abbbe4a59b72fba606f21e7c24dcbd8c0"> 121</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#ad773a034fb9983e15f3094b4c5c7c30c">Quantize</a>(uint8_t* quant, <span class="keyword">const</span> <span class="keywordtype">float</span>* dequant, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; info)</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;{</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetNumElements(); i++)</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; {</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; quant[i] = armnn::Quantize&lt;uint8_t&gt;(dequant[i], <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(), <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</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;}</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;} <span class="comment">//namespace armnn</span></div>
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