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<a href="_broadcast_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>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2019 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">#include &quot;<a class="code" href="_base_iterator_8hpp.xhtml">BaseIterator.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>&gt;</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;</div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;functional&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></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;</div><div class="line"><a name="l00014"></a><span class="lineno"><a class="line" href="structarmnn_1_1_broadcast_loop.xhtml"> 14</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1_broadcast_loop.xhtml">BroadcastLoop</a></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; <a class="code" href="structarmnn_1_1_broadcast_loop.xhtml#a9c28d135714489bab0f9c251ca66a845">BroadcastLoop</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; inShape0, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; inShape1, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; outShape);</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; <a class="code" href="structarmnn_1_1_broadcast_loop.xhtml#a9c28d135714489bab0f9c251ca66a845">BroadcastLoop</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; inShape, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; outShape);</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"><a class="line" href="structarmnn_1_1_broadcast_loop.xhtml#a0ed4f8b0f36ff2a60cbc4faf3be5d2f7"> 20</a></span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_broadcast_loop.xhtml#a0ed4f8b0f36ff2a60cbc4faf3be5d2f7">GetNumDimensions</a>()</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; {</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; <span class="keywordflow">return</span> <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(m_DimData.size());</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</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"> 25</span>&#160; <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Func, <span class="keyword">typename</span> DecoderOp, <span class="keyword">typename</span> EncoderOp&gt;</div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="structarmnn_1_1_broadcast_loop.xhtml#ae9f47e12d6c2265d33fed54e88cf179f"> 26</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_broadcast_loop.xhtml#ae9f47e12d6c2265d33fed54e88cf179f">Unroll</a>(Func operationFunc,</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimension,</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; DecoderOp&amp; inData0,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; DecoderOp&amp; inData1,</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; EncoderOp&amp; outData)</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; <span class="keywordflow">if</span> (dimension &gt;= <a class="code" href="structarmnn_1_1_broadcast_loop.xhtml#a0ed4f8b0f36ff2a60cbc4faf3be5d2f7">GetNumDimensions</a>())</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; {</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; outData.Set(operationFunc(inData0.Get(), inData1.Get()));</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="keywordflow">return</span>;</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;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inData0Movement = 0;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inData1Movement = 0;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outDataMovement = 0;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; m_DimData[dimension].m_DimSize; i++)</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; {</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <a class="code" href="structarmnn_1_1_broadcast_loop.xhtml#ae9f47e12d6c2265d33fed54e88cf179f">Unroll</a>(operationFunc, dimension + 1, inData0, inData1, outData);</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; inData0 += m_DimData[dimension].m_Stride1;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; inData1 += m_DimData[dimension].m_Stride2;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; outData += m_DimData[dimension].m_StrideOut;</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; inData0Movement += m_DimData[dimension].m_Stride1;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; inData1Movement += m_DimData[dimension].m_Stride2;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; outDataMovement += m_DimData[dimension].m_StrideOut;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; }</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="comment">// move iterator back to the start</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; inData0 -= inData0Movement;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; inData1 -= inData1Movement;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; outData -= outDataMovement;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; }</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Func, <span class="keyword">typename</span> DecoderOp, <span class="keyword">typename</span> EncoderOp&gt;</div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="structarmnn_1_1_broadcast_loop.xhtml#a1b3b461824ae2769251ad66a09da5b52"> 62</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_broadcast_loop.xhtml#a1b3b461824ae2769251ad66a09da5b52">Unroll</a>(Func operationFunc,</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimension,</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; DecoderOp&amp; inData,</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; EncoderOp&amp; outData)</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keywordflow">if</span> (dimension &gt;= <a class="code" href="structarmnn_1_1_broadcast_loop.xhtml#a0ed4f8b0f36ff2a60cbc4faf3be5d2f7">GetNumDimensions</a>())</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; outData.Set(operationFunc(inData.Get()));</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keywordflow">return</span>;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; }</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inDataMovement = 0;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outDataMovement = 0;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; m_DimData[dimension].m_DimSize; i++)</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; <a class="code" href="structarmnn_1_1_broadcast_loop.xhtml#ae9f47e12d6c2265d33fed54e88cf179f">Unroll</a>(operationFunc, dimension + 1, inData, outData);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; inData += m_DimData[dimension].m_Stride1;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; outData += m_DimData[dimension].m_StrideOut;</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; inDataMovement += m_DimData[dimension].m_Stride1;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; outDataMovement += m_DimData[dimension].m_StrideOut;</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;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="comment">// move iterator back to the start</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; inData -= inDataMovement;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; outData -= outDataMovement;</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;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="comment">// Struct to hold the dimension data.</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keyword">struct </span>BroadcastDimensionData</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="keywordtype">unsigned</span> <span class="keywordtype">int</span> m_DimSize;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m_StrideOut;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m_Stride1;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m_Stride2;</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; std::vector&lt;BroadcastDimensionData&gt; m_DimData;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;};</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;} <span class="comment">//namespace armnn</span></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="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="structarmnn_1_1_broadcast_loop_xhtml_a9c28d135714489bab0f9c251ca66a845"><div class="ttname"><a href="structarmnn_1_1_broadcast_loop.xhtml#a9c28d135714489bab0f9c251ca66a845">armnn::BroadcastLoop::BroadcastLoop</a></div><div class="ttdeci">BroadcastLoop(const TensorShape &amp;inShape0, const TensorShape &amp;inShape1, const TensorShape &amp;outShape)</div><div class="ttdef"><b>Definition:</b> <a href="_broadcast_8cpp_source.xhtml#l00011">Broadcast.cpp:11</a></div></div>
<div class="ttc" id="structarmnn_1_1_broadcast_loop_xhtml"><div class="ttname"><a href="structarmnn_1_1_broadcast_loop.xhtml">armnn::BroadcastLoop</a></div><div class="ttdef"><b>Definition:</b> <a href="_broadcast_8hpp_source.xhtml#l00014">Broadcast.hpp:14</a></div></div>
<div class="ttc" id="_base_iterator_8hpp_xhtml"><div class="ttname"><a href="_base_iterator_8hpp.xhtml">BaseIterator.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_broadcast_loop_xhtml_a1b3b461824ae2769251ad66a09da5b52"><div class="ttname"><a href="structarmnn_1_1_broadcast_loop.xhtml#a1b3b461824ae2769251ad66a09da5b52">armnn::BroadcastLoop::Unroll</a></div><div class="ttdeci">void Unroll(Func operationFunc, unsigned int dimension, DecoderOp &amp;inData, EncoderOp &amp;outData)</div><div class="ttdef"><b>Definition:</b> <a href="_broadcast_8hpp_source.xhtml#l00062">Broadcast.hpp:62</a></div></div>
<div class="ttc" id="structarmnn_1_1_broadcast_loop_xhtml_a0ed4f8b0f36ff2a60cbc4faf3be5d2f7"><div class="ttname"><a href="structarmnn_1_1_broadcast_loop.xhtml#a0ed4f8b0f36ff2a60cbc4faf3be5d2f7">armnn::BroadcastLoop::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions()</div><div class="ttdef"><b>Definition:</b> <a href="_broadcast_8hpp_source.xhtml#l00020">Broadcast.hpp:20</a></div></div>
<div class="ttc" id="structarmnn_1_1_broadcast_loop_xhtml_ae9f47e12d6c2265d33fed54e88cf179f"><div class="ttname"><a href="structarmnn_1_1_broadcast_loop.xhtml#ae9f47e12d6c2265d33fed54e88cf179f">armnn::BroadcastLoop::Unroll</a></div><div class="ttdeci">void Unroll(Func operationFunc, unsigned int dimension, DecoderOp &amp;inData0, DecoderOp &amp;inData1, EncoderOp &amp;outData)</div><div class="ttdef"><b>Definition:</b> <a href="_broadcast_8hpp_source.xhtml#l00026">Broadcast.hpp:26</a></div></div>
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