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<div class="title">RefElementwiseBinaryWorkload.cpp</div> </div>
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<a href="_ref_elementwise_binary_workload_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 © 2023 Arm Ltd and Contributors. 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="_ref_elementwise_binary_workload_8hpp.html">RefElementwiseBinaryWorkload.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 &quot;<a class="code" href="_decoders_8hpp.html">Decoders.hpp</a>&quot;</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_elementwise_function_8hpp.html">ElementwiseFunction.hpp</a>&quot;</span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_encoders_8hpp.html">Encoders.hpp</a>&quot;</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a>&quot;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_maximum_8hpp.html">Maximum.hpp</a>&quot;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_minimum_8hpp.html">Minimum.hpp</a>&quot;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_squared_difference_8hpp.html">SquaredDifference.hpp</a>&quot;</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_power_8hpp.html">Power.hpp</a>&quot;</span></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;<span class="preprocessor">#include &lt;<a class="code" href="_profiling_8hpp.html">Profiling.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="preprocessor">#include &lt;<a class="code" href="_types_utils_8hpp.html">armnn/TypesUtils.hpp</a>&gt;</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; </div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="preprocessor">#include &lt;functional&gt;</span></div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; </div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></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; </div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> DataType&gt;</div>
<div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ae0a1229cfc1151ff1324c026aa50bb03"> 27</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#ae0a1229cfc1151ff1324c026aa50bb03">ExecuteFunction</a>(std::vector&lt;ITensorHandle*&gt; inputs,</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; std::vector&lt;ITensorHandle*&gt; outputs,</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047">BinaryOperation</a> operation)</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;{</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputInfo0 = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[0]);</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputInfo1 = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[1]);</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputInfo = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(outputs[0]);</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="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; inShape0 = inputInfo0.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</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_tensor_shape.html">TensorShape</a>&amp; inShape1 = inputInfo1.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; outShape = outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</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; std::unique_ptr&lt;Decoder&lt;DataType&gt;&gt; input0 = MakeDecoder&lt;DataType&gt;(inputInfo0, inputs[0]-&gt;<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; std::unique_ptr&lt;Decoder&lt;DataType&gt;&gt; input1 = MakeDecoder&lt;DataType&gt;(inputInfo1, inputs[1]-&gt;<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; std::unique_ptr&lt;Encoder&lt;DataType&gt;&gt; output = MakeEncoder&lt;DataType&gt;(outputInfo, outputs[0]-&gt;<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</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; <span class="keyword">using</span> AddFunction = <a class="code" href="structarmnn_1_1_elementwise_binary_function.html">ElementwiseBinaryFunction&lt;std::plus&lt;DataType&gt;</a>&gt;;</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="keyword">using</span> DivFunction = <a class="code" href="structarmnn_1_1_elementwise_binary_function.html">ElementwiseBinaryFunction&lt;std::divides&lt;DataType&gt;</a>&gt;;</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keyword">using</span> MaximumFunction = <a class="code" href="structarmnn_1_1_elementwise_binary_function.html">ElementwiseBinaryFunction&lt;armnn::maximum&lt;DataType&gt;</a>&gt;;</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keyword">using</span> MinimumFunction = <a class="code" href="structarmnn_1_1_elementwise_binary_function.html">ElementwiseBinaryFunction&lt;armnn::minimum&lt;DataType&gt;</a>&gt;;</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="keyword">using</span> MulFunction = <a class="code" href="structarmnn_1_1_elementwise_binary_function.html">ElementwiseBinaryFunction&lt;std::multiplies&lt;DataType&gt;</a>&gt;;</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="keyword">using</span> SubFunction = <a class="code" href="structarmnn_1_1_elementwise_binary_function.html">ElementwiseBinaryFunction&lt;std::minus&lt;DataType&gt;</a>&gt;;</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="keyword">using</span> SqDiffFunction = <a class="code" href="structarmnn_1_1_elementwise_binary_function.html">ElementwiseBinaryFunction&lt;armnn::squaredDifference&lt;DataType&gt;</a>&gt;;</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keyword">using</span> PowerFunction = <a class="code" href="structarmnn_1_1_elementwise_binary_function.html">ElementwiseBinaryFunction&lt;armnn::power&lt;DataType&gt;</a>&gt;;</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; <span class="keywordflow">switch</span> (operation)</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; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">BinaryOperation::Add</a>:</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; {</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; AddFunction(inShape0, inShape1, outShape, *input0, *input1, *output);</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keywordflow">break</span>;</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">BinaryOperation::Div</a>:</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; DivFunction(inShape0, inShape1, outShape, *input0, *input1, *output);</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keywordflow">break</span>;</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">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892">BinaryOperation::Maximum</a>:</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; MaximumFunction(inShape0, inShape1, outShape, *input0, *input1, *output);</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; }</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4">BinaryOperation::Minimum</a>:</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; MinimumFunction(inShape0, inShape1, outShape, *input0, *input1, *output);</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keywordflow">break</span>;</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">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">BinaryOperation::Mul</a>:</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; MulFunction(inShape0, inShape1, outShape, *input0, *input1, *output);</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordflow">break</span>;</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">BinaryOperation::Sub</a>:</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; SubFunction(inShape0, inShape1, outShape, *input0, *input1, *output);</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keywordflow">break</span>;</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; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a2d17ea57d7f86acde5c60cef8e123a53">BinaryOperation::SqDiff</a>:</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; SqDiffFunction(inShape0, inShape1, outShape, *input0, *input1, *output);</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordflow">break</span>;</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">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047add4fe0cc913f704600b97d1f5dd285de">BinaryOperation::Power</a>:</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; {</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; PowerFunction(inShape0, inShape1, outShape, *input0, *input1, *output);</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keywordflow">break</span>;</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">default</span>:</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="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(std::string(<span class="stringliteral">&quot;Unsupported binary operation &quot;</span>) +</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <a class="code" href="namespacearmnn.html#aed346b74795fd613f727ca8369778704">GetBinaryOperationAsCString</a>(operation), <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</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; }</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"><a class="line" href="classarmnn_1_1_ref_elementwise_binary_workload.html#ad35fcad82380a8e2314bea8aa19cc161"> 102</a></span>&#160;<a class="code" href="classarmnn_1_1_ref_elementwise_binary_workload.html#ad35fcad82380a8e2314bea8aa19cc161">RefElementwiseBinaryWorkload::RefElementwiseBinaryWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_binary_queue_descriptor.html">ElementwiseBinaryQueueDescriptor</a>&amp; desc,</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>&amp; info)</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; : <a class="code" href="classarmnn_1_1_ref_base_workload.html">RefBaseWorkload</a>&lt;<a class="code" href="structarmnn_1_1_elementwise_binary_queue_descriptor.html">ElementwiseBinaryQueueDescriptor</a>&gt;(desc, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;{}</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; </div>
<div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_elementwise_binary_workload.html#ae071e8822437c78baea75c3aef3a263a"> 107</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_elementwise_binary_workload.html#ae071e8822437c78baea75c3aef3a263a">RefElementwiseBinaryWorkload::Execute</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <a class="code" href="classarmnn_1_1_ref_elementwise_binary_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>);</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"><a class="line" href="classarmnn_1_1_ref_elementwise_binary_workload.html#ae1c43d025fc90382d7aff7a500937e2c"> 112</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_elementwise_binary_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefElementwiseBinaryWorkload::ExecuteAsync</a>(<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.html">ExecutionData</a>&amp; executionData)</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160;{</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; <a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a>* workingMemDescriptor = <span class="keyword">static_cast&lt;</span><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a>*<span class="keyword">&gt;</span>(executionData.<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.html#ad2b382076f26f48cd44783cfca2e3642">m_Data</a>);</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <a class="code" href="classarmnn_1_1_ref_elementwise_binary_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a>(workingMemDescriptor-&gt;<a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, workingMemDescriptor-&gt;<a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>);</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;}</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;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_elementwise_binary_workload.html#ae071e8822437c78baea75c3aef3a263a">RefElementwiseBinaryWorkload::Execute</a>(std::vector&lt;ITensorHandle*&gt; inputs,</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; std::vector&lt;ITensorHandle*&gt; outputs)<span class="keyword"> const</span></div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <a class="code" href="_ref_workload_utils_8hpp.html#a06acca4fd832e0fb179604112c0505af">ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID</a>(<span class="stringliteral">&quot;RefElementwiseBinaryWorkload_Execute&quot;</span>);</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; </div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[0]).GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>)</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; {</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; ExecuteFunction&lt;int32_t&gt;(inputs, outputs, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html#a7e4ece533ef2cb0f251e11c47a17371c">m_Operation</a>);</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; <span class="keywordflow">else</span></div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; {</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; ExecuteFunction&lt;float&gt;(inputs, outputs, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html#a7e4ece533ef2cb0f251e11c47a17371c">m_Operation</a>);</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; }</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160;}</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; </div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;} <span class="comment">// namespace armnn</span></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<div class="ttc" id="anamespacearmnn_html_aed346b74795fd613f727ca8369778704"><div class="ttname"><a href="namespacearmnn.html#aed346b74795fd613f727ca8369778704">armnn::GetBinaryOperationAsCString</a></div><div class="ttdeci">constexpr char const * GetBinaryOperationAsCString(BinaryOperation operation)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.html#l00076">TypesUtils.hpp:76</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">armnn::BinaryOperation::Mul</a></div><div class="ttdeci">@ Mul</div></div>
<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">armnn::BinaryOperation::Add</a></div><div class="ttdeci">@ Add</div></div>
<div class="ttc" id="a_minimum_8hpp_html"><div class="ttname"><a href="_minimum_8hpp.html">Minimum.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1experimental_1_1_execution_data_html_ad2b382076f26f48cd44783cfca2e3642"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_execution_data.html#ad2b382076f26f48cd44783cfca2e3642">armnn::experimental::ExecutionData::m_Data</a></div><div class="ttdeci">void * m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_execution_data_8hpp_source.html#l00016">ExecutionData.hpp:16</a></div></div>
<div class="ttc" id="a_types_utils_8hpp_html"><div class="ttname"><a href="_types_utils_8hpp.html">TypesUtils.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">armnn::BinaryOperation::Sub</a></div><div class="ttdeci">@ Sub</div></div>
<div class="ttc" id="aclassarmnn_1_1_ref_elementwise_binary_workload_html_ad35fcad82380a8e2314bea8aa19cc161"><div class="ttname"><a href="classarmnn_1_1_ref_elementwise_binary_workload.html#ad35fcad82380a8e2314bea8aa19cc161">armnn::RefElementwiseBinaryWorkload::RefElementwiseBinaryWorkload</a></div><div class="ttdeci">RefElementwiseBinaryWorkload(const ElementwiseBinaryQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_elementwise_binary_workload_8cpp_source.html#l00102">RefElementwiseBinaryWorkload.cpp:102</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_ref_elementwise_binary_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_ref_elementwise_binary_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::RefElementwiseBinaryWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_elementwise_binary_workload_8cpp_source.html#l00107">RefElementwiseBinaryWorkload.cpp:107</a></div></div>
<div class="ttc" id="a_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00203">Exceptions.hpp:203</a></div></div>
<div class="ttc" id="a_profiling_8hpp_html"><div class="ttname"><a href="_profiling_8hpp.html">Profiling.hpp</a></div></div>
<div class="ttc" id="a_ref_workload_utils_8hpp_html_a06acca4fd832e0fb179604112c0505af"><div class="ttname"><a href="_ref_workload_utils_8hpp.html#a06acca4fd832e0fb179604112c0505af">ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID(label)</div><div class="ttdoc">Creates a profiling event that uses GetGuid() and GetName() from the calling class.</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00022">RefWorkloadUtils.hpp:22</a></div></div>
<div class="ttc" id="astructarmnn_1_1_elementwise_binary_function_html"><div class="ttname"><a href="structarmnn_1_1_elementwise_binary_function.html">armnn::ElementwiseBinaryFunction</a></div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_function_8hpp_source.html#l00015">ElementwiseFunction.hpp:15</a></div></div>
<div class="ttc" id="aclassarmnn_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="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892">armnn::BinaryOperation::Maximum</a></div><div class="ttdeci">@ Maximum</div></div>
<div class="ttc" id="astructarmnn_1_1_elementwise_binary_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_elementwise_binary_queue_descriptor.html">armnn::ElementwiseBinaryQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00671">WorkloadData.hpp:671</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a2d17ea57d7f86acde5c60cef8e123a53"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a2d17ea57d7f86acde5c60cef8e123a53">armnn::BinaryOperation::SqDiff</a></div><div class="ttdeci">@ SqDiff</div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00066">WorkloadData.hpp:66</a></div></div>
<div class="ttc" id="a_ref_elementwise_binary_workload_8hpp_html"><div class="ttname"><a href="_ref_elementwise_binary_workload_8hpp.html">RefElementwiseBinaryWorkload.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ae0a1229cfc1151ff1324c026aa50bb03"><div class="ttname"><a href="namespacearmnn.html#ae0a1229cfc1151ff1324c026aa50bb03">armnn::ExecuteFunction</a></div><div class="ttdeci">void ExecuteFunction(std::vector&lt; ITensorHandle * &gt; inputs, std::vector&lt; ITensorHandle * &gt; outputs, BinaryOperation operation)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_elementwise_binary_workload_8cpp_source.html#l00027">RefElementwiseBinaryWorkload.cpp:27</a></div></div>
<div class="ttc" id="astructarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="anamespacearmnn_html_aa815fde54f6d8e8aa5b4f0301cf4178b"><div class="ttname"><a href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00033">RefWorkloadUtils.hpp:33</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div>
<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047add4fe0cc913f704600b97d1f5dd285de"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047add4fe0cc913f704600b97d1f5dd285de">armnn::BinaryOperation::Power</a></div><div class="ttdeci">@ Power</div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00027">WorkloadData.hpp:27</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_ref_elementwise_binary_workload_html_ae1c43d025fc90382d7aff7a500937e2c"><div class="ttname"><a href="classarmnn_1_1_ref_elementwise_binary_workload.html#ae1c43d025fc90382d7aff7a500937e2c">armnn::RefElementwiseBinaryWorkload::ExecuteAsync</a></div><div class="ttdeci">void ExecuteAsync(ExecutionData &amp;executionData) override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_elementwise_binary_workload_8cpp_source.html#l00112">RefElementwiseBinaryWorkload.cpp:112</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div><div class="ttdeci">@ Signed32</div></div>
<div class="ttc" id="a_squared_difference_8hpp_html"><div class="ttname"><a href="_squared_difference_8hpp.html">SquaredDifference.hpp</a></div></div>
<div class="ttc" id="a_ref_workload_utils_8hpp_html"><div class="ttname"><a href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047">armnn::BinaryOperation</a></div><div class="ttdeci">BinaryOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00138">Types.hpp:138</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_base_workload_html_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload&lt; ElementwiseBinaryQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">ElementwiseBinaryQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00193">Tensor.hpp:193</a></div></div>
<div class="ttc" id="a_elementwise_function_8hpp_html"><div class="ttname"><a href="_elementwise_function_8hpp.html">ElementwiseFunction.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_elementwise_binary_descriptor_html_a7e4ece533ef2cb0f251e11c47a17371c"><div class="ttname"><a href="structarmnn_1_1_elementwise_binary_descriptor.html#a7e4ece533ef2cb0f251e11c47a17371c">armnn::ElementwiseBinaryDescriptor::m_Operation</a></div><div class="ttdeci">BinaryOperation m_Operation</div><div class="ttdoc">Specifies the elementwiseBinary operation to execute.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00125">Descriptors.hpp:125</a></div></div>
<div class="ttc" id="a_decoders_8hpp_html"><div class="ttname"><a href="_decoders_8hpp.html">Decoders.hpp</a></div></div>
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<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">armnn::BinaryOperation::Div</a></div><div class="ttdeci">@ Div</div></div>
<div class="ttc" id="a_encoders_8hpp_html"><div class="ttname"><a href="_encoders_8hpp.html">Encoders.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_ref_base_workload_html"><div class="ttname"><a href="classarmnn_1_1_ref_base_workload.html">armnn::RefBaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_ref_base_workload_8hpp_source.html#l00013">RefBaseWorkload.hpp:13</a></div></div>
<div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::experimental::WorkingMemDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.html#l00021">WorkingMemDescriptor.hpp:21</a></div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div>
<div class="ttc" id="astructarmnn_1_1experimental_1_1_execution_data_html"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_execution_data.html">armnn::experimental::ExecutionData</a></div><div class="ttdef"><b>Definition:</b> <a href="_execution_data_8hpp_source.html#l00014">ExecutionData.hpp:14</a></div></div>
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