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authorDavid Monahan <david.monahan@arm.com>2023-03-22 16:48:58 +0000
committerDavid Monahan <david.monahan@arm.com>2023-03-22 16:48:58 +0000
commitae050524109f1ce827962665436ef7430f2ac479 (patch)
treea087fe0c77570971dd7979f2757426c24e91afc7 /23.02/_prelu_impl_8cpp_source.xhtml
parent8d2ca734165a068478df7cffa46185680b05cd20 (diff)
downloadarmnn-ae050524109f1ce827962665436ef7430f2ac479.tar.gz
IVGCVSW-7255 Update Doxygen Documentation and publish on GitHub.
* Updating Doxygen documentation for 23.02 release. Signed-off-by: David Monahan <david.monahan@arm.com> Change-Id: I545574ff7664b4595d2fe6a91a3c35d2ad55df82
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<div class="title">PreluImpl.cpp</div> </div>
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-<a href="_prelu_impl_8cpp.xhtml">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">#include &quot;<a class="code" href="_prelu_impl_8hpp.xhtml">PreluImpl.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="_ref_workload_utils_8hpp.xhtml">RefWorkloadUtils.hpp</a>&quot;</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_broadcast_8hpp.xhtml">Broadcast.hpp</a>&quot;</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;</div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></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;</div><div class="line"><a name="l00013"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a3be2f69aaf56e58a64ce62054c497fbc"> 13</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#a3be2f69aaf56e58a64ce62054c497fbc">PreluImpl</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; inputInfo,</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; alphaInfo,</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; outputInfo,</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160; <a class="code" href="classarmnn_1_1_decoder.xhtml">Decoder&lt;float&gt;</a>&amp; inputData,</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160; <a class="code" href="classarmnn_1_1_decoder.xhtml">Decoder&lt;float&gt;</a>&amp; alphaData,</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; <a class="code" href="classarmnn_1_1_encoder.xhtml">Encoder&lt;float&gt;</a>&amp; outputData)</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; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; inputShape = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; alphaShape = alphaInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; outputShape = outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</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="comment">// PReLU activation: f(x) = alpha * x for x &lt; 0, f(x) = x for x &gt;= 0</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="keyword">auto</span> prelu = [](<span class="keywordtype">float</span> x, <span class="keywordtype">float</span> alpha)</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; {</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="keywordflow">return</span> x &lt; 0 ? alpha * x : x;</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; <a class="code" href="structarmnn_1_1_broadcast_loop.xhtml">BroadcastLoop</a>(inputShape, alphaShape, outputShape).<a class="code" href="structarmnn_1_1_broadcast_loop.xhtml#ae9f47e12d6c2265d33fed54e88cf179f">Unroll</a>(prelu, 0, inputData, alphaData, outputData);</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">// namespace armnn</span></div><div class="ttc" id="_broadcast_8hpp_xhtml"><div class="ttname"><a href="_broadcast_8hpp.xhtml">Broadcast.hpp</a></div></div>
-<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00191">Tensor.hpp:191</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="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
-<div class="ttc" id="classarmnn_1_1_encoder_xhtml"><div class="ttname"><a href="classarmnn_1_1_encoder.xhtml">armnn::Encoder&lt; float &gt;</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__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.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_broadcast_loop_xhtml"><div class="ttname"><a href="structarmnn_1_1_broadcast_loop.xhtml">armnn::BroadcastLoop</a></div><div class="ttdef"><b>Definition:</b> <a href="_broadcast_8hpp_source.xhtml#l00014">Broadcast.hpp:14</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a3be2f69aaf56e58a64ce62054c497fbc"><div class="ttname"><a href="namespacearmnn.xhtml#a3be2f69aaf56e58a64ce62054c497fbc">armnn::PreluImpl</a></div><div class="ttdeci">void PreluImpl(const TensorInfo &amp;inputInfo, const TensorInfo &amp;alphaInfo, const TensorInfo &amp;outputInfo, Decoder&lt; float &gt; &amp;inputData, Decoder&lt; float &gt; &amp;alphaData, Encoder&lt; float &gt; &amp;outputData)</div><div class="ttdef"><b>Definition:</b> <a href="_prelu_impl_8cpp_source.xhtml#l00013">PreluImpl.cpp:13</a></div></div>
-<div class="ttc" id="structarmnn_1_1_broadcast_loop_xhtml_ae9f47e12d6c2265d33fed54e88cf179f"><div class="ttname"><a href="structarmnn_1_1_broadcast_loop.xhtml#ae9f47e12d6c2265d33fed54e88cf179f">armnn::BroadcastLoop::Unroll</a></div><div class="ttdeci">void Unroll(Func operationFunc, unsigned int dimension, DecoderOp &amp;inData0, DecoderOp &amp;inData1, EncoderOp &amp;outData)</div><div class="ttdef"><b>Definition:</b> <a href="_broadcast_8hpp_source.xhtml#l00026">Broadcast.hpp:26</a></div></div>
-<div class="ttc" id="_prelu_impl_8hpp_xhtml"><div class="ttname"><a href="_prelu_impl_8hpp.xhtml">PreluImpl.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&lt; float &gt;</a></div></div>
+<a href="_prelu_impl_8cpp.xhtml">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">#include &quot;<a class="code" href="_prelu_impl_8hpp.xhtml">PreluImpl.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="_ref_workload_utils_8hpp.xhtml">RefWorkloadUtils.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_broadcast_8hpp.xhtml">Broadcast.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160; </div>
+<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></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; </div>
+<div class="line"><a name="l00013"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a3be2f69aaf56e58a64ce62054c497fbc"> 13</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#a3be2f69aaf56e58a64ce62054c497fbc">PreluImpl</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; inputInfo,</div>
+<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; alphaInfo,</div>
+<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; outputInfo,</div>
+<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160; <a class="code" href="classarmnn_1_1_decoder.xhtml">Decoder&lt;float&gt;</a>&amp; inputData,</div>
+<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160; <a class="code" href="classarmnn_1_1_decoder.xhtml">Decoder&lt;float&gt;</a>&amp; alphaData,</div>
+<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; <a class="code" href="classarmnn_1_1_encoder.xhtml">Encoder&lt;float&gt;</a>&amp; outputData)</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; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; inputShape = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
+<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; alphaShape = alphaInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
+<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; outputShape = outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</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="comment">// PReLU activation: f(x) = alpha * x for x &lt; 0, f(x) = x for x &gt;= 0</span></div>
+<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="keyword">auto</span> prelu = [](<span class="keywordtype">float</span> x, <span class="keywordtype">float</span> alpha)</div>
+<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; {</div>
+<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="keywordflow">return</span> x &lt; 0 ? alpha * x : x;</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; <a class="code" href="structarmnn_1_1_broadcast_loop.xhtml">BroadcastLoop</a>(inputShape, alphaShape, outputShape).<a class="code" href="structarmnn_1_1_broadcast_loop.xhtml#ae9f47e12d6c2265d33fed54e88cf179f">Unroll</a>(prelu, 0, inputData, alphaData, outputData);</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">// namespace armnn</span></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
+<div class="ttc" id="astructarmnn_1_1_broadcast_loop_xhtml_ae9f47e12d6c2265d33fed54e88cf179f"><div class="ttname"><a href="structarmnn_1_1_broadcast_loop.xhtml#ae9f47e12d6c2265d33fed54e88cf179f">armnn::BroadcastLoop::Unroll</a></div><div class="ttdeci">void Unroll(Func operationFunc, unsigned int dimension, DecoderOp &amp;inData0, DecoderOp &amp;inData1, EncoderOp &amp;outData)</div><div class="ttdef"><b>Definition:</b> <a href="_broadcast_8hpp_source.xhtml#l00026">Broadcast.hpp:26</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_encoder_xhtml"><div class="ttname"><a href="classarmnn_1_1_encoder.xhtml">armnn::Encoder&lt; float &gt;</a></div></div>
+<div class="ttc" id="anamespacearmnn_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__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div>
+<div class="ttc" id="aclassarmnn_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="a_ref_workload_utils_8hpp_xhtml"><div class="ttname"><a href="_ref_workload_utils_8hpp.xhtml">RefWorkloadUtils.hpp</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_decoder_xhtml"><div class="ttname"><a href="classarmnn_1_1_decoder.xhtml">armnn::Decoder&lt; float &gt;</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00191">Tensor.hpp:191</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a3be2f69aaf56e58a64ce62054c497fbc"><div class="ttname"><a href="namespacearmnn.xhtml#a3be2f69aaf56e58a64ce62054c497fbc">armnn::PreluImpl</a></div><div class="ttdeci">void PreluImpl(const TensorInfo &amp;inputInfo, const TensorInfo &amp;alphaInfo, const TensorInfo &amp;outputInfo, Decoder&lt; float &gt; &amp;inputData, Decoder&lt; float &gt; &amp;alphaData, Encoder&lt; float &gt; &amp;outputData)</div><div class="ttdef"><b>Definition:</b> <a href="_prelu_impl_8cpp_source.xhtml#l00013">PreluImpl.cpp:13</a></div></div>
+<div class="ttc" id="a_broadcast_8hpp_xhtml"><div class="ttname"><a href="_broadcast_8hpp.xhtml">Broadcast.hpp</a></div></div>
+<div class="ttc" id="a_prelu_impl_8hpp_xhtml"><div class="ttname"><a href="_prelu_impl_8hpp.xhtml">PreluImpl.hpp</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_broadcast_loop_xhtml"><div class="ttname"><a href="structarmnn_1_1_broadcast_loop.xhtml">armnn::BroadcastLoop</a></div><div class="ttdef"><b>Definition:</b> <a href="_broadcast_8hpp_source.xhtml#l00014">Broadcast.hpp:14</a></div></div>
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