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<div class="title">Broadcast.hpp</div> </div>
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<a href="_broadcast_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> <span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2019 Arm Ltd. All rights reserved.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>  </div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_base_iterator_8hpp.html">BaseIterator.hpp</a>"</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include <<a class="code" href="_tensor_8hpp.html">armnn/Tensor.hpp</a>></span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>  </div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <functional></span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>  </div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> {</div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  </div>
<div class="line"><a name="l00014"></a><span class="lineno"><a class="line" href="structarmnn_1_1_broadcast_loop.html"> 14</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_broadcast_loop.html">BroadcastLoop</a></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> {</div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  <a class="code" href="structarmnn_1_1_broadcast_loop.html#a9c28d135714489bab0f9c251ca66a845">BroadcastLoop</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& inShape0, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& inShape1, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& outShape);</div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  </div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <a class="code" href="structarmnn_1_1_broadcast_loop.html#a9c28d135714489bab0f9c251ca66a845">BroadcastLoop</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& inShape, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& outShape);</div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  </div>
<div class="line"><a name="l00020"></a><span class="lineno"><a class="line" href="structarmnn_1_1_broadcast_loop.html#a0ed4f8b0f36ff2a60cbc4faf3be5d2f7"> 20</a></span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_broadcast_loop.html#a0ed4f8b0f36ff2a60cbc4faf3be5d2f7">GetNumDimensions</a>()</div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  {</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(m_DimData.size());</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  }</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  </div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> Func, <span class="keyword">typename</span> DecoderOp, <span class="keyword">typename</span> EncoderOp></div>
<div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="structarmnn_1_1_broadcast_loop.html#ae9f47e12d6c2265d33fed54e88cf179f"> 26</a></span>  <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_broadcast_loop.html#ae9f47e12d6c2265d33fed54e88cf179f">Unroll</a>(Func operationFunc,</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimension,</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  DecoderOp& inData0,</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  DecoderOp& inData1,</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  EncoderOp& outData)</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  {</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">if</span> (dimension >= <a class="code" href="structarmnn_1_1_broadcast_loop.html#a0ed4f8b0f36ff2a60cbc4faf3be5d2f7">GetNumDimensions</a>())</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  {</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  outData.Set(operationFunc(inData0.Get(), inData1.Get()));</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  }</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  </div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <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>  <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>  <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>  </div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < m_DimData[dimension].m_DimSize; i++)</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  {</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <a class="code" href="structarmnn_1_1_broadcast_loop.html#ae9f47e12d6c2265d33fed54e88cf179f">Unroll</a>(operationFunc, dimension + 1, inData0, inData1, outData);</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  </div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  inData0 += m_DimData[dimension].m_Stride1;</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  inData1 += m_DimData[dimension].m_Stride2;</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  outData += m_DimData[dimension].m_StrideOut;</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  </div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  inData0Movement += m_DimData[dimension].m_Stride1;</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  inData1Movement += m_DimData[dimension].m_Stride2;</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  outDataMovement += m_DimData[dimension].m_StrideOut;</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  }</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  </div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="comment">// move iterator back to the start</span></div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  inData0 -= inData0Movement;</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  inData1 -= inData1Movement;</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  outData -= outDataMovement;</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  }</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  </div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> Func, <span class="keyword">typename</span> DecoderOp, <span class="keyword">typename</span> EncoderOp></div>
<div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="structarmnn_1_1_broadcast_loop.html#a1b3b461824ae2769251ad66a09da5b52"> 62</a></span>  <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_broadcast_loop.html#a1b3b461824ae2769251ad66a09da5b52">Unroll</a>(Func operationFunc,</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimension,</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  DecoderOp& inData,</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  EncoderOp& outData)</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">if</span> (dimension >= <a class="code" href="structarmnn_1_1_broadcast_loop.html#a0ed4f8b0f36ff2a60cbc4faf3be5d2f7">GetNumDimensions</a>())</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  {</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  outData.Set(operationFunc(inData.Get()));</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  }</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  </div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <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>  <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>  </div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < m_DimData[dimension].m_DimSize; i++)</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  {</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <a class="code" href="structarmnn_1_1_broadcast_loop.html#ae9f47e12d6c2265d33fed54e88cf179f">Unroll</a>(operationFunc, dimension + 1, inData, outData);</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  </div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  inData += m_DimData[dimension].m_Stride1;</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  outData += m_DimData[dimension].m_StrideOut;</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  </div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  inDataMovement += m_DimData[dimension].m_Stride1;</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  outDataMovement += m_DimData[dimension].m_StrideOut;</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  }</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  </div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="comment">// move iterator back to the start</span></div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  inData -= inDataMovement;</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  outData -= outDataMovement;</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  }</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  </div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="keyword">private</span>:</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="comment">// Struct to hold the dimension data.</span></div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keyword">struct </span>BroadcastDimensionData</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  {</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m_DimSize;</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <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>  <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>  <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>  };</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  </div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  std::vector<BroadcastDimensionData> m_DimData;</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span> };</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  </div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> } <span class="comment">//namespace armnn</span></div>
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<div class="ttc" id="astructarmnn_1_1_broadcast_loop_html_a1b3b461824ae2769251ad66a09da5b52"><div class="ttname"><a href="structarmnn_1_1_broadcast_loop.html#a1b3b461824ae2769251ad66a09da5b52">armnn::BroadcastLoop::Unroll</a></div><div class="ttdeci">void Unroll(Func operationFunc, unsigned int dimension, DecoderOp &inData, EncoderOp &outData)</div><div class="ttdef"><b>Definition:</b> <a href="_broadcast_8hpp_source.html#l00062">Broadcast.hpp:62</a></div></div>
<div class="ttc" id="astructarmnn_1_1_broadcast_loop_html"><div class="ttname"><a href="structarmnn_1_1_broadcast_loop.html">armnn::BroadcastLoop</a></div><div class="ttdef"><b>Definition:</b> <a href="_broadcast_8hpp_source.html#l00014">Broadcast.hpp:14</a></div></div>
<div class="ttc" id="a_base_iterator_8hpp_html"><div class="ttname"><a href="_base_iterator_8hpp.html">BaseIterator.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_broadcast_loop_html_a9c28d135714489bab0f9c251ca66a845"><div class="ttname"><a href="structarmnn_1_1_broadcast_loop.html#a9c28d135714489bab0f9c251ca66a845">armnn::BroadcastLoop::BroadcastLoop</a></div><div class="ttdeci">BroadcastLoop(const TensorShape &inShape0, const TensorShape &inShape1, const TensorShape &outShape)</div><div class="ttdef"><b>Definition:</b> <a href="_broadcast_8cpp_source.html#l00011">Broadcast.cpp:11</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="astructarmnn_1_1_broadcast_loop_html_ae9f47e12d6c2265d33fed54e88cf179f"><div class="ttname"><a href="structarmnn_1_1_broadcast_loop.html#ae9f47e12d6c2265d33fed54e88cf179f">armnn::BroadcastLoop::Unroll</a></div><div class="ttdeci">void Unroll(Func operationFunc, unsigned int dimension, DecoderOp &inData0, DecoderOp &inData1, EncoderOp &outData)</div><div class="ttdef"><b>Definition:</b> <a href="_broadcast_8hpp_source.html#l00026">Broadcast.hpp:26</a></div></div>
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<div class="ttc" id="astructarmnn_1_1_broadcast_loop_html_a0ed4f8b0f36ff2a60cbc4faf3be5d2f7"><div class="ttname"><a href="structarmnn_1_1_broadcast_loop.html#a0ed4f8b0f36ff2a60cbc4faf3be5d2f7">armnn::BroadcastLoop::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions()</div><div class="ttdef"><b>Definition:</b> <a href="_broadcast_8hpp_source.html#l00020">Broadcast.hpp:20</a></div></div>
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