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<div class="title">Reduce.cpp</div> </div>
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<a href="_reduce_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 © 2021, 2024 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="_reduce_8hpp.html">Reduce.hpp</a>&quot;</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160; </div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_numeric_cast_8hpp.html">armnn/utility/NumericCast.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="_workload_data_8hpp.html">armnn/backends/WorkloadData.hpp</a>&gt;</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160; </div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;cstddef&gt;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;functional&gt;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;limits&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="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></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; </div>
<div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a869f740e9c2fcb8642350c6e3d0b3742"> 19</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a869f740e9c2fcb8642350c6e3d0b3742">NextIndex</a>(<span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDims, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>&amp; dims, std::vector&lt;unsigned int&gt;&amp; current)</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="keywordtype">unsigned</span> <span class="keywordtype">int</span> carry = 1;</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="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx = numDims; idx-- &gt; 0; )</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; {</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> current_val = current[idx] + carry;</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="keywordflow">if</span> (dims[idx] == current_val)</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; {</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; current[idx] = 0;</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; }</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keywordflow">else</span></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; current[idx] = current_val;</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; carry = 0;</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; }</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; }</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keywordflow">return</span> (carry == 0);</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"><a class="line" href="namespacearmnn.html#ae86f1ca23eaa764da9e589cc8e39a969"> 40</a></span>&#160;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearmnn.html#ae86f1ca23eaa764da9e589cc8e39a969">ReducedOutputOffset</a>(<span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDims,</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>&amp; dims,</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; std::vector&lt;unsigned int&gt;&amp; index,</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numAxis,</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="keyword">const</span> std::vector&lt;unsigned int&gt;&amp; axis)</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; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> offset = 0;</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx = 0; idx &lt; numDims; ++idx)</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; {</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="keywordtype">bool</span> isAxis = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keywordflow">if</span> (!axis.empty())</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">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axisIdx = 0; axisIdx &lt; numAxis; ++axisIdx)</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">if</span> (idx == axis[axisIdx])</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; isAxis = <span class="keyword">true</span>;</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; }</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="keywordflow">if</span> (!isAxis)</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; {</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; offset = offset * dims[idx] + index[idx];</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; }</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordflow">return</span> offset;</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; </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"><a class="line" href="namespacearmnn.html#ad64b7a275169ba1b1ba2d15679f7e8b1"> 70</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#ad64b7a275169ba1b1ba2d15679f7e8b1">Reduce</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputInfo,</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputInfo,</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <a class="code" href="classarmnn_1_1_decoder.html">Decoder&lt;float&gt;</a>&amp; input,</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <a class="code" href="classarmnn_1_1_encoder.html">Encoder&lt;float&gt;</a>&amp; output,</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keyword">const</span> std::vector&lt;uint32_t&gt; axis,</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0">ReduceOperation</a> reduceOperation)</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;{</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputDims = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputNumDims = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputs = outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</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; <span class="comment">// Initialise temp output</span></div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; std::vector&lt;float&gt; tempOut(numOutputs);</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keywordflow">switch</span>(reduceOperation)</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d">ReduceOperation::Mean</a>:</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0aa0ec87054b5e5b7847d0d8780a01a3d5">ReduceOperation::Sum</a>:</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; std::fill(tempOut.begin(), tempOut.end(), 0.0f);</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="keywordflow">break</span>;</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#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">ReduceOperation::Prod</a>:</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; std::fill(tempOut.begin(), tempOut.end(), 1.0f);</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233">ReduceOperation::Max</a>:</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; std::fill(tempOut.begin(), tempOut.end(), -1 * std::numeric_limits&lt;float&gt;::max());</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0a78d811e98514cd165dda532286610fd2">ReduceOperation::Min</a>:</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; std::fill(tempOut.begin(), tempOut.end(), std::numeric_limits&lt;float&gt;::max());</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(<span class="stringliteral">&quot;Unknown reduce method: &quot;</span> +</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; std::to_string(<span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(reduceOperation)));</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">// Initialise temp index</span></div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; std::vector&lt;unsigned int&gt; tempIndex(inputNumDims, 0);</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; std::vector&lt;unsigned int&gt; resolvedAxis = axis;</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="keywordflow">if</span> (resolvedAxis.empty())</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">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx = 0; idx &lt; inputNumDims; ++idx)</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; resolvedAxis.push_back(idx);</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; }</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; <span class="keyword">auto</span> numResolvedAxis = armnn::numeric_cast&lt;unsigned int&gt;(resolvedAxis.size());</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; </div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <span class="comment">// Iterates through input_data and operates over the reduced axis</span></div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">bool</span> hasNext = <span class="keyword">true</span>; hasNext; hasNext = <a class="code" href="namespacearmnn.html#a869f740e9c2fcb8642350c6e3d0b3742">NextIndex</a>(inputNumDims, inputDims, tempIndex))</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">unsigned</span> <span class="keywordtype">int</span> inputOffset = <a class="code" href="namespacearmnn.html#ae86f1ca23eaa764da9e589cc8e39a969">ReducedOutputOffset</a>(inputNumDims, inputDims, tempIndex, 0, {});</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputOffset = <a class="code" href="namespacearmnn.html#ae86f1ca23eaa764da9e589cc8e39a969">ReducedOutputOffset</a>(inputNumDims, inputDims, tempIndex,</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; numResolvedAxis, resolvedAxis);</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; input[inputOffset];</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keyword">auto</span> inputValue = input.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>();</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="keywordflow">switch</span>(reduceOperation)</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; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d">ReduceOperation::Mean</a>:</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0aa0ec87054b5e5b7847d0d8780a01a3d5">ReduceOperation::Sum</a>:</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; tempOut[outputOffset] += inputValue;</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">ReduceOperation::Prod</a>:</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; tempOut[outputOffset] *= inputValue;</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233">ReduceOperation::Max</a>:</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <span class="keywordflow">if</span> (inputValue &gt; tempOut[outputOffset])</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; {</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; tempOut[outputOffset] = inputValue;</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; }</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0a78d811e98514cd165dda532286610fd2">ReduceOperation::Min</a>:</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="keywordflow">if</span> (inputValue &lt; tempOut[outputOffset])</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; {</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; tempOut[outputOffset] = inputValue;</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; }</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(<span class="stringliteral">&quot;Unknown reduce method: &quot;</span> +</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; std::to_string(<span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(reduceOperation)));</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; }</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; }</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; </div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <span class="comment">// Takes average by num of elements added to get MEAN</span></div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <span class="keywordtype">size_t</span> numElementsInAxis = 1;</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx = 0; idx &lt; numResolvedAxis; ++idx)</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; {</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> current = inputDims[resolvedAxis[idx]];</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; numElementsInAxis *= current;</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; }</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; </div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx = 0; idx &lt; numOutputs; ++idx)</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; {</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; output[idx];</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <span class="keywordflow">if</span> (reduceOperation == <a class="code" href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d">ReduceOperation::Mean</a>)</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; {</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <span class="keywordflow">if</span> (numElementsInAxis &gt; 0)</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; {</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; output.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(tempOut[idx] / armnn::numeric_cast&lt;float&gt;(numElementsInAxis));</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; }</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; }</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <span class="keywordflow">else</span></div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; {</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; output.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(tempOut[idx]);</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; }</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; }</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160;}</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; </div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160;} <span class="comment">//namespace armnn</span></div>
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<div class="ttc" id="aclassarmnn_1_1_decoder_html"><div class="ttname"><a href="classarmnn_1_1_decoder.html">armnn::Decoder&lt; float &gt;</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00198">Tensor.hpp:198</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_encoder_html_ae3b62b846a9c239f332830b9e36030eb"><div class="ttname"><a href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">armnn::Encoder::Set</a></div><div class="ttdeci">virtual void Set(IType right)=0</div></div>
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<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="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00197">Tensor.hpp:197</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad64b7a275169ba1b1ba2d15679f7e8b1"><div class="ttname"><a href="namespacearmnn.html#ad64b7a275169ba1b1ba2d15679f7e8b1">armnn::Reduce</a></div><div class="ttdeci">void Reduce(const TensorInfo &amp;inputInfo, const TensorInfo &amp;outputInfo, Decoder&lt; float &gt; &amp;input, Encoder&lt; float &gt; &amp;output, const std::vector&lt; uint32_t &gt; axis, const ReduceOperation reduceOperation)</div><div class="ttdef"><b>Definition:</b> <a href="_reduce_8cpp_source.html#l00070">Reduce.cpp:70</a></div></div>
<div class="ttc" id="anamespacearmnn_html_abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d"><div class="ttname"><a href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d">armnn::ReduceOperation::Mean</a></div><div class="ttdeci">@ Mean</div></div>
<div class="ttc" id="a_numeric_cast_8hpp_html"><div class="ttname"><a href="_numeric_cast_8hpp.html">NumericCast.hpp</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="aclassarmnn_1_1_encoder_html"><div class="ttname"><a href="classarmnn_1_1_encoder.html">armnn::Encoder&lt; float &gt;</a></div></div>
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<div class="ttc" id="anamespacearmnn_html_ae86f1ca23eaa764da9e589cc8e39a969"><div class="ttname"><a href="namespacearmnn.html#ae86f1ca23eaa764da9e589cc8e39a969">armnn::ReducedOutputOffset</a></div><div class="ttdeci">unsigned int ReducedOutputOffset(const unsigned int numDims, const armnn::TensorShape &amp;dims, std::vector&lt; unsigned int &gt; &amp;index, const unsigned int numAxis, const std::vector&lt; unsigned int &gt; &amp;axis)</div><div class="ttdef"><b>Definition:</b> <a href="_reduce_8cpp_source.html#l00040">Reduce.cpp:40</a></div></div>
<div class="ttc" id="anamespacearmnn_html_abc05539fc6e7907f32ef0fb242e3b3b0aa0ec87054b5e5b7847d0d8780a01a3d5"><div class="ttname"><a href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0aa0ec87054b5e5b7847d0d8780a01a3d5">armnn::ReduceOperation::Sum</a></div><div class="ttdeci">@ Sum</div></div>
<div class="ttc" id="aclassarmnn_1_1_decoder_html_ac729108381e2340bea12877971713ecb"><div class="ttname"><a href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">armnn::Decoder::Get</a></div><div class="ttdeci">virtual IType Get() const =0</div></div>
<div class="ttc" id="anamespacearmnn_html_abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd"><div class="ttname"><a href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">armnn::ReduceOperation::Prod</a></div><div class="ttdeci">@ Prod</div></div>
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<div class="ttc" id="a_reduce_8hpp_html"><div class="ttname"><a href="_reduce_8hpp.html">Reduce.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
<div class="ttc" id="anamespacearmnn_html_abc05539fc6e7907f32ef0fb242e3b3b0"><div class="ttname"><a href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0">armnn::ReduceOperation</a></div><div class="ttdeci">ReduceOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00157">Types.hpp:157</a></div></div>
<div class="ttc" id="anamespacearmnn_html_abc05539fc6e7907f32ef0fb242e3b3b0a78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0a78d811e98514cd165dda532286610fd2">armnn::ReduceOperation::Min</a></div><div class="ttdeci">@ Min</div></div>
<div class="ttc" id="anamespacearmnn_html_abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233">armnn::ReduceOperation::Max</a></div><div class="ttdeci">@ Max</div></div>
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