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<div class="title">Tile.cpp</div> </div>
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<a href="_tile_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="_tile_8hpp.html">Tile.hpp</a>&quot;</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_encoders_8hpp.html">Encoders.hpp</a>&quot;</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &lt;numeric&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="_workload_data_8hpp.html">armnn/backends/WorkloadData.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="_logging_8hpp.html">armnn/Logging.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">// Converts a flatten index into a multi-dimensional coordinate.</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a536bd930213ea3fd689fc28c8589fc4a"> 16</a></span>&#160;std::vector&lt;uint32_t&gt; <a class="code" href="namespacearmnn.html#a536bd930213ea3fd689fc28c8589fc4a">IndexToCoordinates</a>(std::vector&lt;uint32_t&gt;&amp; shape, uint32_t index)</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; std::vector&lt;uint32_t&gt; coordinates;</div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; <span class="comment">// Iterating through dimensions starting from the last dimension to the first</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; <span class="keywordflow">for</span> (std::size_t i = shape.size() - 1; i &lt; shape.size(); --i)</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="comment">// Coordinate is found by getting the index and modulus it by the current dimension size</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; <span class="comment">// shape of dimension = dimension size</span></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; coordinates.insert(coordinates.begin(), index % shape[i]);</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="comment">// Pass the index to next iteration making index = index / size of the current dimension</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; index = index/shape[i];</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; <span class="keywordflow">return</span> coordinates;</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; </div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="comment">// Convert a multidimensional coordinate to a flattened index.</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a8b5472bb95f8226e5c82b95c1de1dab0"> 32</a></span>&#160;uint32_t <a class="code" href="namespacearmnn.html#a8b5472bb95f8226e5c82b95c1de1dab0">CoordinatesToIndex</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; shape, std::vector&lt;uint32_t&gt;&amp; coordinates)</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; uint32_t index = 0;</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; uint32_t base = 1;</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; uint32_t rank = shape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keywordflow">for</span> (uint32_t i = rank; i &gt; 0; --i)</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; index = index + coordinates[i - 1] * base;</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; base = base * shape[i - 1];</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">return</span> index;</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"><a class="line" href="namespacearmnn.html#ae789852d4625b71ca83474fe12c511e8"> 45</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#ae789852d4625b71ca83474fe12c511e8">Tile</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_tile_descriptor.html">TileDescriptor</a>&amp; params,</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <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="l00047"></a><span class="lineno"> 47</span>&#160; <a class="code" href="classarmnn_1_1_decoder.html">Decoder&lt;float&gt;</a>&amp; inputDecoder,</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <a class="code" href="classarmnn_1_1_encoder.html">Encoder&lt;float&gt;</a>&amp; outputEncoder)</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; <span class="comment">// Input and output will always have same rank</span></div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; uint32_t rank = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; </div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> inputShape = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</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; std::vector&lt;uint32_t&gt; outputShape(rank);</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keywordflow">for</span> (uint32_t i = 0; i &lt; rank; ++i)</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; outputShape[i] = inputShape[i] * params.<a class="code" href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">m_Multiples</a>[i];</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="comment">// If all values of multiples are 1, then return the input</span></div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keywordflow">if</span> ( std::adjacent_find( params.<a class="code" href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">m_Multiples</a>.begin(), params.<a class="code" href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">m_Multiples</a>.end(),</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; std::not_equal_to&lt;&gt;() ) == params.<a class="code" href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">m_Multiples</a>.end() &amp;&amp; params.<a class="code" href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">m_Multiples</a>[0] == 1)</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; <span class="keywordflow">for</span> (uint32_t 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="l00066"></a><span class="lineno"> 66</span>&#160; {</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</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="l00068"></a><span class="lineno"> 68</span>&#160; ++inputDecoder;</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; outputEncoder.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(inputValue);</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; ++outputEncoder;</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; <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; }</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; </div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; std::vector&lt;float&gt; inputData = inputDecoder.<a class="code" href="classarmnn_1_1_decoder.html#aafe0168dd5ece89e7c62e8d83a4e57cd">DecodeTensor</a>(inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; std::vector&lt;float&gt; outputData;</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keyword">auto</span> outputNumElements = inputData.size() * <span class="keyword">static_cast&lt;</span>uint32_t<span class="keyword">&gt;</span>(std::accumulate(begin(params.<a class="code" href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">m_Multiples</a>),</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; end(params.<a class="code" href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">m_Multiples</a>),</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; 1,</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; std::multiplies&lt;&gt;()));</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; outputData.reserve(outputNumElements);</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; <span class="keywordflow">for</span> (uint32_t outputIndex = 0; outputIndex &lt; outputNumElements; ++outputIndex)</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; std::vector&lt;uint32_t&gt; outputCoords = <a class="code" href="namespacearmnn.html#a536bd930213ea3fd689fc28c8589fc4a">IndexToCoordinates</a>(outputShape, outputIndex);</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">// Converting output coordinates to input coordinates using modulus</span></div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; std::vector&lt;uint32_t&gt; inputCoordinates;</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; inputCoordinates.reserve(rank);</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keywordflow">for</span> (uint32_t i = 0; i &lt; rank; ++i)</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; inputCoordinates.push_back(outputCoords[i] % inputShape[i]);</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; }</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; </div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; uint32_t inputIndex = <a class="code" href="namespacearmnn.html#a8b5472bb95f8226e5c82b95c1de1dab0">CoordinatesToIndex</a>(inputShape, inputCoordinates);</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; </div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; outputEncoder[outputIndex];</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; outputEncoder.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(inputData[inputIndex]);</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; }</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;} <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&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>
<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&lt; float &gt;</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00174">Tensor.cpp:174</a></div></div>
<div class="ttc" id="a_logging_8hpp_html"><div class="ttname"><a href="_logging_8hpp.html">Logging.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a536bd930213ea3fd689fc28c8589fc4a"><div class="ttname"><a href="namespacearmnn.html#a536bd930213ea3fd689fc28c8589fc4a">armnn::IndexToCoordinates</a></div><div class="ttdeci">std::vector&lt; uint32_t &gt; IndexToCoordinates(std::vector&lt; uint32_t &gt; &amp;shape, uint32_t index)</div><div class="ttdef"><b>Definition:</b> <a href="_tile_8cpp_source.html#l00016">Tile.cpp:16</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_decoder_html_aafe0168dd5ece89e7c62e8d83a4e57cd"><div class="ttname"><a href="classarmnn_1_1_decoder.html#aafe0168dd5ece89e7c62e8d83a4e57cd">armnn::Decoder::DecodeTensor</a></div><div class="ttdeci">virtual std::vector&lt; float &gt; DecodeTensor(const TensorShape &amp;tensorShape, bool isDepthwise=false)=0</div></div>
<div class="ttc" id="anamespacearmnn_html_ae789852d4625b71ca83474fe12c511e8"><div class="ttname"><a href="namespacearmnn.html#ae789852d4625b71ca83474fe12c511e8">armnn::Tile</a></div><div class="ttdeci">void Tile(const TileDescriptor &amp;params, const TensorInfo &amp;inputInfo, Decoder&lt; float &gt; &amp;inputDecoder, Encoder&lt; float &gt; &amp;outputEncoder)</div><div class="ttdef"><b>Definition:</b> <a href="_tile_8cpp_source.html#l00045">Tile.cpp:45</a></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="a_tile_8hpp_html"><div class="ttname"><a href="_tile_8hpp.html">Tile.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a8b5472bb95f8226e5c82b95c1de1dab0"><div class="ttname"><a href="namespacearmnn.html#a8b5472bb95f8226e5c82b95c1de1dab0">armnn::CoordinatesToIndex</a></div><div class="ttdeci">uint32_t CoordinatesToIndex(TensorShape &amp;shape, std::vector&lt; uint32_t &gt; &amp;coordinates)</div><div class="ttdef"><b>Definition:</b> <a href="_tile_8cpp_source.html#l00032">Tile.cpp:32</a></div></div>
<div class="ttc" id="astructarmnn_1_1_tile_descriptor_html_a4e66396e5ed6ede8d87dc75103645def"><div class="ttname"><a href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">armnn::TileDescriptor::m_Multiples</a></div><div class="ttdeci">std::vector&lt; uint32_t &gt; m_Multiples</div><div class="ttdoc">The vector to multiply the input shape by.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01656">Descriptors.hpp:1656</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</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="a_encoders_8hpp_html"><div class="ttname"><a href="_encoders_8hpp.html">Encoders.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_tile_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_tile_descriptor.html">armnn::TileDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01640">Descriptors.hpp:1640</a></div></div>
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