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| <div class="title">Gather.cpp</div> </div> |
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| <a href="_gather_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> <span class="comment">//</span></div> |
| <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017,2022-2023 Arm Ltd and Contributors. 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="_gather_8hpp.html">Gather.hpp</a>"</span></div> |
| <div class="line"><a name="l00007"></a><span class="lineno"> 7</span>  </div> |
| <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_workload_data_8hpp.html">armnn/backends/WorkloadData.hpp</a>></span></div> |
| <div class="line"><a name="l00009"></a><span class="lineno"> 9</span>  </div> |
| <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <fmt/format.h></span></div> |
| <div class="line"><a name="l00011"></a><span class="lineno"> 11</span>  </div> |
| <div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <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> {</div> |
| <div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  </div> |
| <div class="line"><a name="l00015"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a4f1a1b88b01d8dfda3803776e0778a49"> 15</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#a4f1a1b88b01d8dfda3803776e0778a49">Gather</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& paramsInfo,</div> |
| <div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& indicesInfo,</div> |
| <div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputInfo,</div> |
| <div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <a class="code" href="classarmnn_1_1_decoder.html">Decoder<float></a>& params,</div> |
| <div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keyword">const</span> int32_t* indices,</div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <a class="code" href="classarmnn_1_1_encoder.html">Encoder<float></a>& output,</div> |
| <div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keyword">const</span> int32_t axis_int)</div> |
| <div class="line"><a name="l00022"></a><span class="lineno"> 22</span> {</div> |
| <div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(outputInfo);</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">const</span> <span class="keywordtype">int</span> paramsRank = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(paramsInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keywordflow">if</span>((axis_int < -1 * paramsRank) || (paramsRank <= axis_int))</div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  {</div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>((fmt::format(<span class="stringliteral">"Gather: Axis {} is not within [-{}, {}) range"</span>,</div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  axis_int, paramsRank, paramsRank)));</div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  }</div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axis = (axis_int < 0) ? static_cast<unsigned int>(paramsRank + axis_int)</div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  : <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(axis_int);</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>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& paramsShape = paramsInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  </div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="comment">// Product of all dimensions to the left side of the axis</span></div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> paramsOuterProduct = 1;</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < axis; ++i)</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  {</div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  paramsOuterProduct *= paramsShape[i];</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="comment">// Product of all dimensions to the right side of the axis</span></div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> paramsInnerProduct = 1;</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> k = 1 + axis; k < paramsInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++k)</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>  paramsInnerProduct *= paramsShape[k];</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  }</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  </div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> offset = 0;</div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outIndex = 0;</div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < paramsOuterProduct; ++i)</div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  {</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = 0; j < indicesInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); ++j)</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="keywordtype">unsigned</span> <span class="keywordtype">int</span> index =</div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  (indices[j] < 0) ? <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(<span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(paramsShape[axis]) + indices[j])</div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  : <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(indices[j]);</div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  </div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">if</span> (index >= paramsShape[axis])</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="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>((fmt::format(<span class="stringliteral">"Gather: index >= paramsShape[axis]: {} >= {}"</span>,</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  index, paramsShape[axis] )));</div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  }</div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  </div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> startOffset = (paramsInnerProduct * index) + offset;</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> endOffset = startOffset + paramsInnerProduct;</div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  </div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> k = startOffset; k < endOffset; ++k)</div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  {</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  params[k];</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordtype">float</span> outputValue = params.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>();</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  output[outIndex];</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  output.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(outputValue);</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  ++outIndex;</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>  }</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  offset += paramsShape[axis] * paramsInnerProduct;</div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  }</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>  <span class="keywordflow">if</span> (outIndex != outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>())</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  {</div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>((fmt::format(<span class="stringliteral">"Gather: Invalid outIndex {} "</span>, outIndex)));</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  }</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span> }</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> } <span class="comment">//namespace armnn</span></div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <div class="ttc" id="aclassarmnn_1_1_decoder_html"><div class="ttname"><a href="classarmnn_1_1_decoder.html">armnn::Decoder< float ></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> |
| <div class="ttc" id="a_workload_data_8hpp_html"><div class="ttname"><a href="_workload_data_8hpp.html">WorkloadData.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="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="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< float ></a></div></div> |
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| <div class="ttc" id="anamespacearmnn_html_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.html#l00014">IgnoreUnused.hpp:14</a></div></div> |
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| <div class="ttc" id="anamespacearmnn_html_a4f1a1b88b01d8dfda3803776e0778a49"><div class="ttname"><a href="namespacearmnn.html#a4f1a1b88b01d8dfda3803776e0778a49">armnn::Gather</a></div><div class="ttdeci">void Gather(const TensorInfo &paramsInfo, const TensorInfo &indicesInfo, const TensorInfo &outputInfo, Decoder< float > &params, const int32_t *indices, Encoder< float > &output, const int32_t axis_int)</div><div class="ttdef"><b>Definition:</b> <a href="_gather_8cpp_source.html#l00015">Gather.cpp:15</a></div></div> |
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