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<div class="title">ReverseV2Impl.cpp</div> </div>
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<a href="_reverse_v2_impl_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="_reverse_v2_impl_8hpp.html">ReverseV2Impl.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="_workload_data_8hpp.html">armnn/backends/WorkloadData.hpp</a>&gt;</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_logging_8hpp.html">armnn/Logging.hpp</a>&gt;</span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_permute_8hpp.html">armnnUtils/Permute.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="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></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"> 14</span>&#160; </div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment">// Get multi-dimensional index for input tensor</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ae9f7ce777fbcab84555a1e80ab03c13a"> 16</a></span>&#160;std::vector&lt;unsigned int&gt; <a class="code" href="namespacearmnn.html#ae9f7ce777fbcab84555a1e80ab03c13a">ReverseGetMultIdx</a>(<span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx,</div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputRank,</div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; std::vector&lt;unsigned int&gt;&amp; elementNumInner)</div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;{</div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; std::vector&lt;unsigned int&gt; indexList(inputRank);</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="keywordtype">unsigned</span> <span class="keywordtype">int</span> mIdx = idx;</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; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iDim = 0; iDim &lt; inputRank; ++iDim)</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; indexList[iDim] = <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(mIdx / elementNumInner[iDim]);</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; mIdx %= elementNumInner[iDim];</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; }</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">return</span> indexList;</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;}</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; </div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="comment">// Get flattened index for output encoder</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a8d4ef1958eb8b75e33ff5f9e1682c9a8"> 34</a></span>&#160;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearmnn.html#a8d4ef1958eb8b75e33ff5f9e1682c9a8">ReverseGetFlatIdx</a>(<span class="keyword">const</span> std::vector&lt;unsigned int&gt;&amp; idxList,</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputRank,</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; std::vector&lt;unsigned int&gt;&amp; elementNumInner)</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> idx = 0;</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; </div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iDim = 0; iDim &lt; inputRank; ++iDim)</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; idx += idxList[iDim] * elementNumInner[iDim];</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; </div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keywordflow">return</span> idx;</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;}</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; </div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;<span class="comment">// Relocate the coordinate to the reversed tensor</span></div>
<div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a8a0d9d6566aa1e098f6988b2ee98bf00"> 49</a></span>&#160;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearmnn.html#a8a0d9d6566aa1e098f6988b2ee98bf00">ReverseRelocateIdx</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx,</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputRank,</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; std::vector&lt;bool&gt;&amp; axisFlag,</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; std::vector&lt;unsigned int&gt;&amp; dimSize,</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; std::vector&lt;unsigned int&gt;&amp; elementNumInner)</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">// Get the multidimensional index list for input</span></div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keyword">auto</span> inputIdxList = <a class="code" href="namespacearmnn.html#ae9f7ce777fbcab84555a1e80ab03c13a">ReverseGetMultIdx</a>(idx, inputRank, elementNumInner);</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; </div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; std::vector&lt;unsigned int&gt; outputIdxList(inputRank);</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; <span class="comment">// Relocate the input index to the output one</span></div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iDim = 0; iDim &lt; inputRank; ++iDim)</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; <span class="keywordflow">if</span> (axisFlag[iDim])</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; outputIdxList[iDim] = dimSize[iDim] - inputIdxList[iDim] - 1;</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">else</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; outputIdxList[iDim] = inputIdxList[iDim];</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; }</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="comment">// Get the 1-dimensional flattened index for output</span></div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputIdx = <a class="code" href="namespacearmnn.html#a8d4ef1958eb8b75e33ff5f9e1682c9a8">ReverseGetFlatIdx</a>(outputIdxList, inputRank, elementNumInner);</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keywordflow">return</span> outputIdx;</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; </div>
<div class="line"><a name="l00078"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a8caac207d532c38c3909d40c742d8c3f"> 78</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#a8caac207d532c38c3909d40c742d8c3f">ReverseV2</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="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; axisInfo,</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <a class="code" href="classarmnn_1_1_decoder.html">Decoder&lt;float&gt;</a>&amp; inputDecoder,</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <a class="code" href="classarmnn_1_1_decoder.html">Decoder&lt;int&gt;</a>&amp; axisDecoder,</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <a class="code" href="classarmnn_1_1_encoder.html">Encoder&lt;float&gt;</a>&amp; outputEncoder)</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="keywordtype">unsigned</span> <span class="keywordtype">int</span> axesRank = <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(axisInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</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; <span class="comment">// Empty axis and empty tensor case: copy input to output</span></div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordflow">if</span> ((axesRank == 0) || inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() == 0)</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; {</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> idx = 0; idx &lt; inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); idx++)</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; <span class="keywordtype">float</span> inputValue = inputDecoder.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>();</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; inputDecoder += 1;</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; outputEncoder.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(inputValue);</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; outputEncoder += 1;</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">return</span>;</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; }</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; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputRank = <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; </div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; std::vector&lt;bool&gt; axisFlag(inputRank, <span class="keyword">false</span>);</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; std::vector&lt;unsigned int&gt; dimSize(inputRank, 0);</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; std::vector&lt;int32_t&gt; axis(axesRank, 0);</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">// Decode the axis information</span></div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i &lt; axesRank; i++)</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; {</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; axis[i] = axisDecoder.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>();</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; axisDecoder += 1;</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"> 112</span>&#160; <span class="comment">// Make sure the axes are positive</span></div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="keywordflow">for</span> (int32_t axisElement: axis)</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; axisElement = axisElement &lt; 0 ? axisElement + static_cast&lt;int32_t&gt;(inputRank) : axisElement;</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; axisFlag[<span class="keyword">static_cast&lt;</span>uint32_t<span class="keyword">&gt;</span>(axisElement)] = <span class="keyword">true</span>;</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="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &amp;inputShape = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; </div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> elementNum = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>();</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> baseDimSize = 1;</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; std::vector&lt;unsigned int&gt; elementNumInner;</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="comment">// Get the number of element within the specific dimension</span></div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iDim = 0; iDim &lt; inputRank; ++iDim) {</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; dimSize[iDim] = inputShape[iDim];</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; baseDimSize *= dimSize[iDim];</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; elementNumInner.push_back(<span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(elementNum / baseDimSize));</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; <span class="comment">// Iterate through all elements</span></div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx = 0; idx &lt; elementNum; ++idx)</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; <span class="keywordtype">float</span> inputValue = inputDecoder.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>();</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; inputDecoder += 1;</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <span class="keyword">auto</span> outputIdx = <a class="code" href="namespacearmnn.html#a8a0d9d6566aa1e098f6988b2ee98bf00">ReverseRelocateIdx</a>(idx, inputRank, axisFlag, dimSize, elementNumInner);</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; outputEncoder[outputIdx];</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; outputEncoder.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(inputValue);</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;}</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="comment">// namespace armnn</span></div>
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