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+<a href="_conv_impl_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>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. 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">#pragma once</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 &quot;<a class="code" href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a>&quot;</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_buffer_array_view_8hpp.html">TensorBufferArrayView.hpp</a>&quot;</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_base_iterator_8hpp.html">BaseIterator.hpp</a>&quot;</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_decoders_8hpp.html">Decoders.hpp</a>&quot;</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</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="l00013"></a><span class="lineno">   13</span>&#160;</div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_8hpp.html">armnn/Tensor.hpp</a>&gt;</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;</div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_data_layout_indexed_8hpp.html">armnnUtils/DataLayoutIndexed.hpp</a>&gt;</span></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;<span class="preprocessor">#include &lt;boost/assert.hpp&gt;</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="preprocessor">#include &lt;boost/numeric/conversion/cast.hpp&gt;</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="preprocessor">#include &lt;cmath&gt;</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="preprocessor">#include &lt;limits&gt;</span></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="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></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;</div><div class="line"><a name="l00029"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_multiplier_smaller_than_one.html">   29</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1_quantized_multiplier_smaller_than_one.html">QuantizedMultiplierSmallerThanOne</a></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="keyword">public</span>:</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    <a class="code" href="structarmnn_1_1_quantized_multiplier_smaller_than_one.html#a1ec4f749fbbdacbe2cc7e8895d5b65ed">QuantizedMultiplierSmallerThanOne</a>(<span class="keywordtype">float</span> multiplier);</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    int32_t <a class="code" href="structarmnn_1_1_quantized_multiplier_smaller_than_one.html#ac04834893e568dfea4642ecb575faed8">operator*</a>(int32_t rhs) <span class="keyword">const</span>;</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="keyword">private</span>:</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    <span class="keyword">static</span> int32_t SaturatingRoundingDoublingHighMul(int32_t a, int32_t b);</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    <span class="keyword">static</span> int32_t RoundingDivideByPOT(int32_t x, <span class="keywordtype">int</span> exponent);</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;    int32_t m_Multiplier;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    int32_t m_RightShift;</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;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#af98115cd07776d3fa8424434d2a7a897">Convolve</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; rInputShape,</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;              <a class="code" href="classarmnn_1_1_decoder.html">Decoder&lt;float&gt;</a>&amp; rInputDecoder,</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;              <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; rOutputShape,</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;              <a class="code" href="classarmnn_1_1_encoder.html">Encoder&lt;float&gt;</a>&amp; rOutputEncoder,</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;              <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; rFilterShape,</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;              <a class="code" href="classarmnn_1_1_decoder.html">Decoder&lt;float&gt;</a>&amp; rFilterDecoder,</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;              <span class="keywordtype">bool</span> biasEnabled,</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;              <a class="code" href="classarmnn_1_1_decoder.html">Decoder&lt;float&gt;</a>* pBiasDecoder,</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;              <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout,</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;              <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> paddingTop,</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;              <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> paddingLeft,</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;              <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> xStride,</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;              <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> yStride,</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;              <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> xDilation,</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;              <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> yDilation,</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;              <span class="keywordtype">bool</span> depthwise = <span class="keyword">false</span>);</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;} <span class="comment">//namespace armnn</span></div><div class="ttc" id="namespacearmnn_html_af98115cd07776d3fa8424434d2a7a897"><div class="ttname"><a href="namespacearmnn.html#af98115cd07776d3fa8424434d2a7a897">armnn::Convolve</a></div><div class="ttdeci">void Convolve(const TensorShape &amp;rInputShape, Decoder&lt; float &gt; &amp;rInputDecoder, const TensorShape &amp;rOutputShape, Encoder&lt; float &gt; &amp;rOutputEncoder, const TensorShape &amp;rFilterShape, Decoder&lt; float &gt; &amp;rFilterDecoder, bool biasEnabled, Decoder&lt; float &gt; *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.html#l00071">ConvImpl.cpp:71</a></div></div>
+<div class="ttc" id="classarmnn_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="_base_iterator_8hpp_html"><div class="ttname"><a href="_base_iterator_8hpp.html">BaseIterator.hpp</a></div></div>
+<div class="ttc" id="classarmnn_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="_decoders_8hpp_html"><div class="ttname"><a href="_decoders_8hpp.html">Decoders.hpp</a></div></div>
+<div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div>
+<div class="ttc" id="_tensor_buffer_array_view_8hpp_html"><div class="ttname"><a href="_tensor_buffer_array_view_8hpp.html">TensorBufferArrayView.hpp</a></div></div>
+<div class="ttc" id="_data_layout_indexed_8hpp_html"><div class="ttname"><a href="_data_layout_indexed_8hpp.html">DataLayoutIndexed.hpp</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00048">Types.hpp:48</a></div></div>
+<div class="ttc" id="classarmnn_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="_encoders_8hpp_html"><div class="ttname"><a href="_encoders_8hpp.html">Encoders.hpp</a></div></div>
+<div class="ttc" id="_tensor_8hpp_html"><div class="ttname"><a href="_tensor_8hpp.html">Tensor.hpp</a></div></div>
+<div class="ttc" id="structarmnn_1_1_quantized_multiplier_smaller_than_one_html_a1ec4f749fbbdacbe2cc7e8895d5b65ed"><div class="ttname"><a href="structarmnn_1_1_quantized_multiplier_smaller_than_one.html#a1ec4f749fbbdacbe2cc7e8895d5b65ed">armnn::QuantizedMultiplierSmallerThanOne::QuantizedMultiplierSmallerThanOne</a></div><div class="ttdeci">QuantizedMultiplierSmallerThanOne(float multiplier)</div><div class="ttdef"><b>Definition:</b> <a href="_conv_impl_8cpp_source.html#l00016">ConvImpl.cpp:16</a></div></div>
+<div class="ttc" id="structarmnn_1_1_quantized_multiplier_smaller_than_one_html_ac04834893e568dfea4642ecb575faed8"><div class="ttname"><a href="structarmnn_1_1_quantized_multiplier_smaller_than_one.html#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&amp;#39;s MultiplyByQuantizedMultiplierSmaller...</div><div class="ttdef"><b>Definition:</b> <a href="_conv_impl_8cpp_source.html#l00041">ConvImpl.cpp:41</a></div></div>
+<div class="ttc" id="structarmnn_1_1_quantized_multiplier_smaller_than_one_html"><div class="ttname"><a href="structarmnn_1_1_quantized_multiplier_smaller_than_one.html">armnn::QuantizedMultiplierSmallerThanOne</a></div><div class="ttdef"><b>Definition:</b> <a href="_conv_impl_8hpp_source.html#l00029">ConvImpl.hpp:29</a></div></div>
+<div class="ttc" id="_ref_workload_utils_8hpp_html"><div class="ttname"><a href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a></div></div>
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