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| <a href="_prelu_impl_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 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">#include "<a class="code" href="_prelu_impl_8hpp.html">PreluImpl.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_broadcast_8hpp.html">Broadcast.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="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></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> </div><div class="line"><a name="l00013"></a><span class="lineno"><a class="line" href="namespacearmnn.html#aa1ca65b3ba7f7c760eb3d5563c12864e"> 13</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#aa1ca65b3ba7f7c760eb3d5563c12864e">PreluImpl</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_prelu_queue_descriptor.html">PreluQueueDescriptor</a>& data,</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  <a class="code" href="classarmnn_1_1_decoder.html">Decoder<float></a>& inputData,</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  <a class="code" href="classarmnn_1_1_decoder.html">Decoder<float></a>& alphaData,</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  <a class="code" href="classarmnn_1_1_encoder.html">Encoder<float></a>& outputData)</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="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputInfo = <a class="code" href="namespacearmnn.html#a93d269806f34407695dc10f510001c30">GetTensorInfo</a>(data.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0]);</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& alphaInfo = <a class="code" href="namespacearmnn.html#a93d269806f34407695dc10f510001c30">GetTensorInfo</a>(data.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[1]);</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputInfo = <a class="code" href="namespacearmnn.html#a93d269806f34407695dc10f510001c30">GetTensorInfo</a>(data.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0]);</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keyword">const</span> <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="l00023"></a><span class="lineno"> 23</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& alphaShape = alphaInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& outputShape = outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="comment">// PReLU activation: f(x) = alpha * x for x < 0, f(x) = x for x >= 0</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keyword">auto</span> prelu = [](<span class="keywordtype">float</span> x, <span class="keywordtype">float</span> alpha)</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  {</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordflow">return</span> x < 0 ? alpha * x : x;</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> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <a class="code" href="structarmnn_1_1_broadcast_loop.html">BroadcastLoop</a>(inputShape, alphaShape, outputShape).<a class="code" href="structarmnn_1_1_broadcast_loop.html#ae9f47e12d6c2265d33fed54e88cf179f">Unroll</a>(prelu, 0, inputData, alphaData, outputData);</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> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> } <span class="comment">// namespace armnn</span></div><div class="ttc" id="structarmnn_1_1_broadcast_loop_html_ae9f47e12d6c2265d33fed54e88cf179f"><div class="ttname"><a href="structarmnn_1_1_broadcast_loop.html#ae9f47e12d6c2265d33fed54e88cf179f">armnn::BroadcastLoop::Unroll</a></div><div class="ttdeci">void Unroll(Func operationFunc, unsigned int dimension, DecoderOp &inData0, DecoderOp &inData1, EncoderOp &outData)</div><div class="ttdef"><b>Definition:</b> <a href="_broadcast_8hpp_source.html#l00026">Broadcast.hpp:26</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_broadcast_loop_html"><div class="ttname"><a href="structarmnn_1_1_broadcast_loop.html">armnn::BroadcastLoop</a></div><div class="ttdef"><b>Definition:</b> <a href="_broadcast_8hpp_source.html#l00014">Broadcast.hpp:14</a></div></div> |
| <div class="ttc" id="classarmnn_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#l00053">Tensor.hpp:53</a></div></div> |
| <div class="ttc" id="_prelu_impl_8hpp_html"><div class="ttname"><a href="_prelu_impl_8hpp.html">PreluImpl.hpp</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_decoder_html"><div class="ttname"><a href="classarmnn_1_1_decoder.html">armnn::Decoder< float ></a></div></div> |
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| <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="structarmnn_1_1_prelu_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_prelu_queue_descriptor.html">armnn::PreluQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00489">WorkloadData.hpp:489</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="namespacearmnn_html_aa1ca65b3ba7f7c760eb3d5563c12864e"><div class="ttname"><a href="namespacearmnn.html#aa1ca65b3ba7f7c760eb3d5563c12864e">armnn::PreluImpl</a></div><div class="ttdeci">void PreluImpl(const PreluQueueDescriptor &data, Decoder< float > &inputData, Decoder< float > &alphaData, Encoder< float > &outputData)</div><div class="ttdef"><b>Definition:</b> <a href="_prelu_impl_8cpp_source.html#l00013">PreluImpl.cpp:13</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00031">WorkloadData.hpp:31</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00030">WorkloadData.hpp:30</a></div></div> |
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| <div class="ttc" id="namespacearmnn_html_a93d269806f34407695dc10f510001c30"><div class="ttname"><a href="namespacearmnn.html#a93d269806f34407695dc10f510001c30">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers </div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00025">RefWorkloadUtils.hpp:25</a></div></div> |
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