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<div class="title">RefWorkloadUtils.hpp</div> </div>
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<a href="_ref_workload_utils_8hpp.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 © 2017 Arm Ltd. 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"> 6</span> <span class="preprocessor">#pragma once</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="_cpu_tensor_handle_8hpp.xhtml">backendsCommon/CpuTensorHandle.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="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_types_8hpp.xhtml">armnn/Types.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_polymorphic_downcast_8hpp.xhtml">armnn/utility/PolymorphicDowncast.hpp</a>></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="_ref_tensor_handle_8hpp.xhtml">reference/RefTensorHandle.hpp</a>></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <<a class="code" href="_b_float16_8hpp.xhtml">BFloat16.hpp</a>></span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <<a class="code" href="_half_8hpp.xhtml">Half.hpp</a>></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> {</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"></span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment">////////////////////////////////////////////</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment">/// float32 helpers</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment">////////////////////////////////////////////</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment"></span></div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#af7ec4c0fa4375a45a70e4e31f3d8af47"> 26</a></span> <span class="keyword">inline</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& <a class="code" href="namespacearmnn.xhtml#af7ec4c0fa4375a45a70e4e31f3d8af47">GetTensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* tensorHandle)</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="comment">// We know that reference workloads use RefTensorHandles for inputs and outputs</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_ref_tensor_handle.xhtml">RefTensorHandle</a>* refTensorHandle =</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  PolymorphicDowncast<const RefTensorHandle*>(tensorHandle);</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keywordflow">return</span> refTensorHandle-><a class="code" href="classarmnn_1_1_ref_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</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> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">template</span> <<span class="keyword">typename</span> DataType, <span class="keyword">typename</span> PayloadType></div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a2187ea15b1ae8c323a0cc5c211fc43d9"> 35</a></span> <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>* <a class="code" href="namespacearmnn.xhtml#a2187ea15b1ae8c323a0cc5c211fc43d9">GetInputTensorData</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* tensorHandle = data.m_Inputs[idx];</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>*<span class="keyword">></span>(tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">Map</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"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">template</span> <<span class="keyword">typename</span> DataType, <span class="keyword">typename</span> PayloadType></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>* <a class="code" href="namespacearmnn.xhtml#ae9f37e0b5f15afd89a29788a319da9ec">GetOutputTensorData</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* tensorHandle = data.m_Outputs[idx];</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span><a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>*<span class="keyword">></span>(tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">Map</a>());</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> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a691846a9eee59b0cd5b22fb5f674e007"> 49</a></span> <span class="keyword">const</span> <span class="keywordtype">float</span>* <a class="code" href="namespacearmnn.xhtml#a691846a9eee59b0cd5b22fb5f674e007">GetInputTensorDataFloat</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">return</span> GetInputTensorData<float>(idx, data);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> }</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div><div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ab5f0afc1e37fd100843ecd55d8f284c1"> 55</a></span> <span class="keywordtype">float</span>* <a class="code" href="namespacearmnn.xhtml#ab5f0afc1e37fd100843ecd55d8f284c1">GetOutputTensorDataFloat</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">return</span> GetOutputTensorData<float>(idx, data);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> }</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a084b0ce273bef78aa314bd97fc574b84"> 61</a></span> <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">Half</a>* <a class="code" href="namespacearmnn.xhtml#a084b0ce273bef78aa314bd97fc574b84">GetInputTensorDataHalf</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> {</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">return</span> GetInputTensorData<Half>(idx, data);</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"> 66</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ab98e77207c3d676b0b9ffa67357dbc6a"> 67</a></span> <a class="code" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">Half</a>* <a class="code" href="namespacearmnn.xhtml#ab98e77207c3d676b0b9ffa67357dbc6a">GetOutputTensorDataHalf</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> {</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">return</span> GetOutputTensorData<Half>(idx, data);</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> </div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ac44cb4d413a43342b120b2c4d047d648"> 73</a></span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_b_float16.xhtml">BFloat16</a>* <a class="code" href="namespacearmnn.xhtml#ac44cb4d413a43342b120b2c4d047d648">GetInputTensorDataBFloat16</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">return</span> GetInputTensorData<BFloat16>(idx, data);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> }</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div><div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a85ace5e5f41a093622a8c04150d24c60"> 79</a></span> <a class="code" href="classarmnn_1_1_b_float16.xhtml">BFloat16</a>* <a class="code" href="namespacearmnn.xhtml#a85ace5e5f41a093622a8c04150d24c60">GetOutputTensorDataBFloat16</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">return</span> GetOutputTensorData<BFloat16>(idx, data);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> }</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="comment"></span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="comment">////////////////////////////////////////////</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="comment">/// u8 helpers</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="comment">////////////////////////////////////////////</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="comment"></span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div><div class="line"><a name="l00089"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a4144d7535639c617fca0d095379493f0"> 89</a></span> std::vector<float> <a class="code" href="namespacearmnn.xhtml#a855293b1be0581fb61ef6a1c5b027d0f">Dequantize</a>(<span class="keyword">const</span> T* quant, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& info)</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  std::vector<float> ret(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); i++)</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  {</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  ret[i] = <a class="code" href="namespacearmnn.xhtml#a855293b1be0581fb61ef6a1c5b027d0f">armnn::Dequantize</a>(quant[i], info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(), info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</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>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> }</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">template</span><<span class="keyword">typename</span> T></div><div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a1204727d8ce3ee1e60daf08079eb892e"> 100</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#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.xhtml">TensorInfo</a>& info)</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); i++)</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  {</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  outputData[i] = Dequantize<T>(inputData[i], info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(), info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</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> }</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#abbbe4a59b72fba606f21e7c24dcbd8c0"> 108</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#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.xhtml">TensorInfo</a>& info)</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> {</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); i++)</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  {</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  quant[i] = armnn::Quantize<uint8_t>(dequant[i], info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(), info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  }</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> }</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> } <span class="comment">//namespace armnn</span></div><div class="ttc" id="namespacearmnn_xhtml_ac44cb4d413a43342b120b2c4d047d648"><div class="ttname"><a href="namespacearmnn.xhtml#ac44cb4d413a43342b120b2c4d047d648">armnn::GetInputTensorDataBFloat16</a></div><div class="ttdeci">const BFloat16 * GetInputTensorDataBFloat16(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00073">RefWorkloadUtils.hpp:73</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a691846a9eee59b0cd5b22fb5f674e007"><div class="ttname"><a href="namespacearmnn.xhtml#a691846a9eee59b0cd5b22fb5f674e007">armnn::GetInputTensorDataFloat</a></div><div class="ttdeci">const float * GetInputTensorDataFloat(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00049">RefWorkloadUtils.hpp:49</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a855293b1be0581fb61ef6a1c5b027d0f"><div class="ttname"><a href="namespacearmnn.xhtml#a855293b1be0581fb61ef6a1c5b027d0f">armnn::Dequantize</a></div><div class="ttdeci">float Dequantize(QuantizedType value, float scale, int32_t offset)</div><div class="ttdoc">Dequantize an 8-bit data type into a floating point data type. </div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8cpp_source.xhtml#l00046">TypesUtils.cpp:46</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a2187ea15b1ae8c323a0cc5c211fc43d9"><div class="ttname"><a href="namespacearmnn.xhtml#a2187ea15b1ae8c323a0cc5c211fc43d9">armnn::GetInputTensorData</a></div><div class="ttdeci">const DataType * GetInputTensorData(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00035">RefWorkloadUtils.hpp:35</a></div></div>
<div class="ttc" id="_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_ref_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_ref_tensor_handle.xhtml">armnn::RefTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_ref_tensor_handle_8hpp_source.xhtml#l00015">RefTensorHandle.hpp:15</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_b_float16_xhtml"><div class="ttname"><a href="classarmnn_1_1_b_float16.xhtml">armnn::BFloat16</a></div><div class="ttdef"><b>Definition:</b> <a href="_b_float16_8hpp_source.xhtml#l00014">BFloat16.hpp:14</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ab98e77207c3d676b0b9ffa67357dbc6a"><div class="ttname"><a href="namespacearmnn.xhtml#ab98e77207c3d676b0b9ffa67357dbc6a">armnn::GetOutputTensorDataHalf</a></div><div class="ttdeci">Half * GetOutputTensorDataHalf(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00067">RefWorkloadUtils.hpp:67</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__software__tools_8dox_source.xhtml#l00006">01_00_software_tools.dox:6</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a084b0ce273bef78aa314bd97fc574b84"><div class="ttname"><a href="namespacearmnn.xhtml#a084b0ce273bef78aa314bd97fc574b84">armnn::GetInputTensorDataHalf</a></div><div class="ttdeci">const Half * GetInputTensorDataHalf(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00061">RefWorkloadUtils.hpp:61</a></div></div>
<div class="ttc" id="_polymorphic_downcast_8hpp_xhtml"><div class="ttname"><a href="_polymorphic_downcast_8hpp.xhtml">PolymorphicDowncast.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#l00032">Types.hpp:32</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a770b51078da02f44a819e9f95d8058b5"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">armnn::TensorInfo::GetQuantizationOffset</a></div><div class="ttdeci">int32_t GetQuantizationOffset() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00469">Tensor.cpp:469</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00015">ITensorHandle.hpp:15</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a047ca888c43bd7fb5702853bf72410d0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">armnn::TensorInfo::GetQuantizationScale</a></div><div class="ttdeci">float GetQuantizationScale() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00452">Tensor.cpp:452</a></div></div>
<div class="ttc" id="_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad773a034fb9983e15f3094b4c5c7c30c"><div class="ttname"><a href="namespacearmnn.xhtml#ad773a034fb9983e15f3094b4c5c7c30c">armnn::Quantize</a></div><div class="ttdeci">QuantizedType Quantize(float value, float scale, int32_t offset)</div><div class="ttdoc">Quantize a floating point data type into an 8-bit data type. </div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8cpp_source.xhtml#l00030">TypesUtils.cpp:30</a></div></div>
<div class="ttc" id="_ref_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_ref_tensor_handle_8hpp.xhtml">RefTensorHandle.hpp</a></div></div>
<div class="ttc" id="_cpu_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.xhtml">CpuTensorHandle.hpp</a></div></div>
<div class="ttc" id="_half_8hpp_xhtml"><div class="ttname"><a href="_half_8hpp.xhtml">Half.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_a9afbc055a017adf1bc38ee137bca6e90"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">armnn::ITensorHandle::Map</a></div><div class="ttdeci">virtual const void * Map(bool blocking=true) const =0</div><div class="ttdoc">Map the tensor data for access. </div></div>
<div class="ttc" id="classarmnn_1_1_ref_tensor_handle_xhtml_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_ref_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">armnn::RefTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_ref_tensor_handle_8hpp_source.xhtml#l00049">RefTensorHandle.hpp:49</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ae9f37e0b5f15afd89a29788a319da9ec"><div class="ttname"><a href="namespacearmnn.xhtml#ae9f37e0b5f15afd89a29788a319da9ec">armnn::GetOutputTensorData</a></div><div class="ttdeci">DataType * GetOutputTensorData(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.xhtml#l00147">ClWorkloadUtils.hpp:147</a></div></div>
<div class="ttc" id="_b_float16_8hpp_xhtml"><div class="ttname"><a href="_b_float16_8hpp.xhtml">BFloat16.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ab5f0afc1e37fd100843ecd55d8f284c1"><div class="ttname"><a href="namespacearmnn.xhtml#ab5f0afc1e37fd100843ecd55d8f284c1">armnn::GetOutputTensorDataFloat</a></div><div class="ttdeci">float * GetOutputTensorDataFloat(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00055">RefWorkloadUtils.hpp:55</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a85ace5e5f41a093622a8c04150d24c60"><div class="ttname"><a href="namespacearmnn.xhtml#a85ace5e5f41a093622a8c04150d24c60">armnn::GetOutputTensorDataBFloat16</a></div><div class="ttdeci">BFloat16 * GetOutputTensorDataBFloat16(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00079">RefWorkloadUtils.hpp:79</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a0f38fa92b2468d5378258a2b074c1a31"><div class="ttname"><a href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.xhtml#l00016">Half.hpp:16</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_af7ec4c0fa4375a45a70e4e31f3d8af47"><div class="ttname"><a href="namespacearmnn.xhtml#af7ec4c0fa4375a45a70e4e31f3d8af47">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers </div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00026">RefWorkloadUtils.hpp:26</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00192">Tensor.hpp:192</a></div></div>
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