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<div class="title">ConvImpl.hpp</div> </div>
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<a href="_conv_impl_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> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 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">#pragma once</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="_ref_workload_utils_8hpp.xhtml">RefWorkloadUtils.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_tensor_buffer_array_view_8hpp.xhtml">TensorBufferArrayView.hpp</a>"</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include "<a class="code" href="_base_iterator_8hpp.xhtml">BaseIterator.hpp</a>"</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include "<a class="code" href="_decoders_8hpp.xhtml">Decoders.hpp</a>"</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include "<a class="code" href="_encoders_8hpp.xhtml">Encoders.hpp</a>"</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"> 14</span> <span class="preprocessor">#include <<a class="code" href="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>></span></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> <span class="preprocessor">#include <<a class="code" href="_data_layout_indexed_8hpp.xhtml">armnnUtils/DataLayoutIndexed.hpp</a>></span></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> <span class="preprocessor">#include <cmath></span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include <limits></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></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> <span class="comment"></span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment">/// Performs multiplication of an integer with a multiplier which is less than one,</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment">/// using quantized integer arithmetic which is consistent with AndroidNN's CPU executor.</span></div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_multiplier_smaller_than_one.xhtml"> 26</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_quantized_multiplier_smaller_than_one.xhtml">QuantizedMultiplierSmallerThanOne</a></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="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment"> /// Constructs a QuantizedMultiplierSmallerThanOne which will multiply by the given multiplier.</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment"> /// This stores the appropriate integer quantities (derived from the given multiplier) for later use.</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment"> /// The implementation of this function is adapted from Android NN's QuantizeMultiplierSmallerThanOne().</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment"></span> <a class="code" href="structarmnn_1_1_quantized_multiplier_smaller_than_one.xhtml#a1ec4f749fbbdacbe2cc7e8895d5b65ed">QuantizedMultiplierSmallerThanOne</a>(<span class="keywordtype">float</span> multiplier);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment"></span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment"> /// The implementation of this function is adapted from Android NN's MultiplyByQuantizedMultiplierSmallerThanOne().</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_quantized_multiplier_smaller_than_one.xhtml#ac04834893e568dfea4642ecb575faed8">operator*</a>(int32_t rhs) <span class="keyword">const</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> <span class="keyword">private</span>:<span class="comment"></span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"> /// The implementation of this function is adapted from gemmlowp's SaturatingRoundingDoublingHighMul().</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment"></span> <span class="keyword">static</span> int32_t SaturatingRoundingDoublingHighMul(int32_t a, int32_t b);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"></span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment"> /// The implementation of this function is adapted from gemmlowp's RoundingDivideByPOT().</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment"></span> <span class="keyword">static</span> int32_t RoundingDivideByPOT(int32_t x, <span class="keywordtype">int</span> exponent);</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>  int32_t m_Multiplier;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  int32_t m_RightShift;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> };</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> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#af98115cd07776d3fa8424434d2a7a897">Convolve</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& rInputShape,</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <a class="code" href="classarmnn_1_1_decoder.xhtml">Decoder<float></a>& rInputDecoder,</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& rOutputShape,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="classarmnn_1_1_encoder.xhtml">Encoder<float></a>& rOutputEncoder,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& rFilterShape,</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <a class="code" href="classarmnn_1_1_decoder.xhtml">Decoder<float></a>& rFilterDecoder,</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordtype">bool</span> biasEnabled,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="classarmnn_1_1_decoder.xhtml">Decoder<float></a>* pBiasDecoder,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout,</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> paddingTop,</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> paddingLeft,</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> xStride,</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> yStride,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> xDilation,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> yDilation,</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordtype">bool</span> depthwise = <span class="keyword">false</span>);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> } <span class="comment">//namespace armnn</span></div><div class="ttc" id="_data_layout_indexed_8hpp_xhtml"><div class="ttname"><a href="_data_layout_indexed_8hpp.xhtml">DataLayoutIndexed.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00050">Types.hpp:50</a></div></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="_ref_workload_utils_8hpp_xhtml"><div class="ttname"><a href="_ref_workload_utils_8hpp.xhtml">RefWorkloadUtils.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_multiplier_smaller_than_one_xhtml_ac04834893e568dfea4642ecb575faed8"><div class="ttname"><a href="structarmnn_1_1_quantized_multiplier_smaller_than_one.xhtml#ac04834893e568dfea4642ecb575faed8">armnn::QuantizedMultiplierSmallerThanOne::operator*</a></div><div class="ttdeci">int32_t operator*(int32_t rhs) const</div><div class="ttdoc">The implementation of this function is adapted from Android NN&#39;s MultiplyByQuantizedMultiplierSmaller...</div><div class="ttdef"><b>Definition:</b> <a href="_conv_impl_8cpp_source.xhtml#l00041">ConvImpl.cpp:41</a></div></div>
<div class="ttc" id="classarmnn_1_1_encoder_xhtml"><div class="ttname"><a href="classarmnn_1_1_encoder.xhtml">armnn::Encoder< float ></a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__software__tools_8dox_source.xhtml#l00006">01_00_software_tools.dox:6</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_quantized_multiplier_smaller_than_one_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantized_multiplier_smaller_than_one.xhtml">armnn::QuantizedMultiplierSmallerThanOne</a></div><div class="ttdoc">Performs multiplication of an integer with a multiplier which is less than one, using quantized integ...</div><div class="ttdef"><b>Definition:</b> <a href="_conv_impl_8hpp_source.xhtml#l00026">ConvImpl.hpp:26</a></div></div>
<div class="ttc" id="_tensor_buffer_array_view_8hpp_xhtml"><div class="ttname"><a href="_tensor_buffer_array_view_8hpp.xhtml">TensorBufferArrayView.hpp</a></div></div>
<div class="ttc" id="_encoders_8hpp_xhtml"><div class="ttname"><a href="_encoders_8hpp.xhtml">Encoders.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_multiplier_smaller_than_one_xhtml_a1ec4f749fbbdacbe2cc7e8895d5b65ed"><div class="ttname"><a href="structarmnn_1_1_quantized_multiplier_smaller_than_one.xhtml#a1ec4f749fbbdacbe2cc7e8895d5b65ed">armnn::QuantizedMultiplierSmallerThanOne::QuantizedMultiplierSmallerThanOne</a></div><div class="ttdeci">QuantizedMultiplierSmallerThanOne(float multiplier)</div><div class="ttdoc">Constructs a QuantizedMultiplierSmallerThanOne which will multiply by the given multiplier. </div><div class="ttdef"><b>Definition:</b> <a href="_conv_impl_8cpp_source.xhtml#l00016">ConvImpl.cpp:16</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="namespacearmnn_xhtml_af98115cd07776d3fa8424434d2a7a897"><div class="ttname"><a href="namespacearmnn.xhtml#af98115cd07776d3fa8424434d2a7a897">armnn::Convolve</a></div><div class="ttdeci">void Convolve(const TensorShape &rInputShape, Decoder< float > &rInputDecoder, const TensorShape &rOutputShape, Encoder< float > &rOutputEncoder, const TensorShape &rFilterShape, Decoder< float > &rFilterDecoder, bool biasEnabled, Decoder< float > *pBiasDecoder, DataLayout dataLayout, unsigned int paddingTop, unsigned int paddingLeft, unsigned int xStride, unsigned int yStride, unsigned int xDilation, unsigned int yDilation, bool depthwise)</div><div class="ttdef"><b>Definition:</b> <a href="_conv_impl_8cpp_source.xhtml#l00071">ConvImpl.cpp:71</a></div></div>
<div class="ttc" id="_decoders_8hpp_xhtml"><div class="ttname"><a href="_decoders_8hpp.xhtml">Decoders.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_decoder_xhtml"><div class="ttname"><a href="classarmnn_1_1_decoder.xhtml">armnn::Decoder< float ></a></div></div>
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