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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 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="_cpu_tensor_handle_8hpp.html">backendsCommon/CpuTensorHandle.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;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</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="l00014"></a><span class="lineno"> 14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</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="l00016"></a><span class="lineno"> 16</span>&#160;<span class="preprocessor">#include &lt;boost/polymorphic_cast.hpp&gt;</span></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">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;{</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;</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"><a class="line" href="namespacearmnn.html#a93d269806f34407695dc10f510001c30"> 25</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#a93d269806f34407695dc10f510001c30">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="l00026"></a><span class="lineno"> 26</span>&#160;{</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="comment">// We know that reference workloads use RefTensorHandles for inputs and outputs</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_ref_tensor_handle.html">RefTensorHandle</a>* refTensorHandle =</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; boost::polymorphic_downcast&lt;const RefTensorHandle*&gt;(tensorHandle);</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keywordflow">return</span> refTensorHandle-&gt;<a class="code" href="classarmnn_1_1_ref_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</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;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</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="l00034"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a2187ea15b1ae8c323a0cc5c211fc43d9"> 34</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="l00035"></a><span class="lineno"> 35</span>&#160;{</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</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="l00037"></a><span class="lineno"> 37</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="l00038"></a><span class="lineno"> 38</span>&#160;}</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;<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="l00041"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a2c0b2e5bd1b03aec10473a201f57f859"> 41</a></span>&#160;<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>* <a class="code" href="namespacearmnn.html#a2c0b2e5bd1b03aec10473a201f57f859">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="l00042"></a><span class="lineno"> 42</span>&#160;{</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* tensorHandle = data.m_Outputs[idx];</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</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="l00045"></a><span class="lineno"> 45</span>&#160;}</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="keyword">template</span> &lt;<span class="keyword">typename</span> PayloadType&gt;</div><div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a691846a9eee59b0cd5b22fb5f674e007"> 48</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="l00049"></a><span class="lineno"> 49</span>&#160;{</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keywordflow">return</span> GetInputTensorData&lt;float&gt;(idx, data);</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;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> PayloadType&gt;</div><div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ab5f0afc1e37fd100843ecd55d8f284c1"> 54</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="l00055"></a><span class="lineno"> 55</span>&#160;{</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keywordflow">return</span> GetOutputTensorData&lt;float&gt;(idx, data);</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;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> PayloadType&gt;</div><div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a084b0ce273bef78aa314bd97fc574b84"> 60</a></span>&#160;<span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">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="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">return</span> GetInputTensorData&lt;Half&gt;(idx, 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;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> PayloadType&gt;</div><div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ab98e77207c3d676b0b9ffa67357dbc6a"> 66</a></span>&#160;<a class="code" href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">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="l00067"></a><span class="lineno"> 67</span>&#160;{</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keywordflow">return</span> GetOutputTensorData&lt;Half&gt;(idx, 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;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a4144d7535639c617fca0d095379493f0"> 76</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="l00077"></a><span class="lineno"> 77</span>&#160;{</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; std::vector&lt;float&gt; ret(info.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; info.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); i++)</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; ret[i] = <a class="code" href="namespacearmnn.html#a855293b1be0581fb61ef6a1c5b027d0f">armnn::Dequantize</a>(quant[i], info.<a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(), info.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; }</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keywordflow">return</span> ret;</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;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a1204727d8ce3ee1e60daf08079eb892e"> 87</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="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">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; info.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); i++)</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; outputData[i] = Dequantize&lt;T&gt;(inputData[i], info.<a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(), info.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; }</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;</div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="namespacearmnn.html#abbbe4a59b72fba606f21e7c24dcbd8c0"> 95</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="l00096"></a><span class="lineno"> 96</span>&#160;{</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; info.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); i++)</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; {</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; quant[i] = armnn::Quantize&lt;uint8_t&gt;(dequant[i], info.<a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(), info.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; }</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;} <span class="comment">//namespace armnn</span></div><div class="ttc" id="namespacearmnn_html_a2187ea15b1ae8c323a0cc5c211fc43d9"><div class="ttname"><a href="namespacearmnn.html#a2187ea15b1ae8c323a0cc5c211fc43d9">armnn::GetInputTensorData</a></div><div class="ttdeci">const DataType * GetInputTensorData(unsigned int idx, const PayloadType &amp;data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00034">RefWorkloadUtils.hpp:34</a></div></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="classarmnn_1_1_tensor_info_html_a770b51078da02f44a819e9f95d8058b5"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00264">Tensor.cpp:264</a></div></div>
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