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<div class="title">NEBatchNormalizationLayerKernel.h</div> </div>
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-<a href="_n_e_batch_normalization_layer_kernel_8h.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 (c) 2017 ARM Limited.</span></div>
-<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div>
-<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div>
-<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div>
-<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div>
-<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div>
-<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div>
-<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div>
-<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div>
-<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div>
-<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div>
-<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div>
-<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div>
-<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div>
-<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div>
-<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div>
-<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div>
-<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div>
-<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div>
-<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</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="preprocessor">#ifndef __ARM_COMPUTE_NEBATCHNORMALIZATIONLAYERKERNEL_H__</span></div>
-<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor"></span><span class="preprocessor">#define __ARM_COMPUTE_NEBATCHNORMALIZATIONLAYERKERNEL_H__</span></div>
-<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor"></span></div>
-<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_i_n_e_kernel_8h.xhtml">arm_compute/core/NEON/INEKernel.h</a>"</span></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="keyword">namespace </span>arm_compute</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> <span class="keyword">class </span>ITensor;</div>
-<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div>
-<div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml"> 35</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml">NEBatchNormalizationLayerKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">INEKernel</a></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">public</span>:</div>
-<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a919d4b5219114921ee77fb603f27293d">NEBatchNormalizationLayerKernel</a>();</div>
-<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a919d4b5219114921ee77fb603f27293d">NEBatchNormalizationLayerKernel</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml">NEBatchNormalizationLayerKernel</a> &) = <span class="keyword">delete</span>;</div>
-<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml">NEBatchNormalizationLayerKernel</a> &<a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a894acf4da15b0487db66df7d393df5e6">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml">NEBatchNormalizationLayerKernel</a> &) = <span class="keyword">delete</span>;</div>
-<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a919d4b5219114921ee77fb603f27293d">NEBatchNormalizationLayerKernel</a>(<a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml">NEBatchNormalizationLayerKernel</a> &&) = <span class="keywordflow">default</span>;</div>
-<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml">NEBatchNormalizationLayerKernel</a> &<a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a894acf4da15b0487db66df7d393df5e6">operator=</a>(<a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml">NEBatchNormalizationLayerKernel</a> &&) = <span class="keywordflow">default</span>;</div>
-<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a5d323c6ced8450d0d3d76f5f58952a72">~NEBatchNormalizationLayerKernel</a>() = <span class="keywordflow">default</span>;</div>
-<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#aeb75a88fc585946720bf786f50e4b66d">configure</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *mean, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *var, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *beta, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *gamma, <span class="keywordtype">float</span> epsilon);</div>
-<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div>
-<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="comment">// Inherited methods overridden:</span></div>
-<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>) <span class="keyword">override</span>;</div>
-<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div>
-<div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="keyword">private</span>:</div>
-<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keyword">using</span> BatchNormFunction = void(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *mean, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *var, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *beta, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *gamma, <span class="keywordtype">float</span> epsilon, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &window);</div>
-<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  BatchNormFunction *_func;</div>
-<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_input;</div>
-<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_output;</div>
-<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_mean;</div>
-<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_var;</div>
-<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_gamma;</div>
-<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_beta;</div>
-<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordtype">float</span> _epsilon;</div>
-<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> };</div>
-<div class="line"><a name="l00080"></a><span class="lineno"> 80</span> } <span class="comment">// namespace arm_compute</span></div>
-<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_NEBATCHNORMALIZATIONLAYERKERNEL_H__ */</span><span class="preprocessor"></span></div>
+<a href="_n_e_batch_normalization_layer_kernel_8h.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 (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</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="preprocessor">#ifndef __ARM_COMPUTE_NEBATCHNORMALIZATIONLAYERKERNEL_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_NEBATCHNORMALIZATIONLAYERKERNEL_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_i_n_e_kernel_8h.xhtml">arm_compute/core/NEON/INEKernel.h</a>"</span></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="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></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> <span class="keyword">class </span>ITensor;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml"> 35</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml">NEBatchNormalizationLayerKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">INEKernel</a></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">public</span>:</div><div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828"> 38</a></span>  <span class="keyword">const</span> <span class="keywordtype">char</span> *<a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">name</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">return</span> <span class="stringliteral">"NEBatchNormalizationLayerKernel"</span>;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  }</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a919d4b5219114921ee77fb603f27293d">NEBatchNormalizationLayerKernel</a>();</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a919d4b5219114921ee77fb603f27293d">NEBatchNormalizationLayerKernel</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml">NEBatchNormalizationLayerKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml">NEBatchNormalizationLayerKernel</a> &<a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a894acf4da15b0487db66df7d393df5e6">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml">NEBatchNormalizationLayerKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a919d4b5219114921ee77fb603f27293d">NEBatchNormalizationLayerKernel</a>(<a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml">NEBatchNormalizationLayerKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml">NEBatchNormalizationLayerKernel</a> &<a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a894acf4da15b0487db66df7d393df5e6">operator=</a>(<a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml">NEBatchNormalizationLayerKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a5d323c6ced8450d0d3d76f5f58952a72">~NEBatchNormalizationLayerKernel</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a2ba3c686bee772f8495b771ffac75506">configure</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *mean, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *var, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *gamma, <span class="keywordtype">float</span> epsilon,</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> act_info = <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>());</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keyword">static</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a83daf577791f7e7e86b2dab68b5ca81a">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *mean, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *var,</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *beta, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *gamma,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordtype">float</span> epsilon, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> act_info);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>) <span class="keyword">override</span>;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordtype">void</span> configure_non_fused();</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordtype">void</span> configure_fused();</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keyword">template</span> <<span class="keywordtype">bool</span> fused_activation></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordtype">void</span> batch_normalization_qs8(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &window);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keyword">template</span> <<span class="keywordtype">bool</span> fused_activation></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordtype">void</span> batch_normalization_qs16(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &window);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keyword">template</span> <<span class="keywordtype">bool</span> fused_activation></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordtype">void</span> batch_normalization_fp16(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &window);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keyword">template</span> <<span class="keywordtype">bool</span> fused_activation, <span class="keyword">typename</span> F></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordtype">void</span> batch_normalization_fp32(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &window);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keyword">using</span> BatchNormFunctionPtr = void (<a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml">NEBatchNormalizationLayerKernel</a>::*)(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  BatchNormFunctionPtr _func;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_input;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_output;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_mean;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_var;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_gamma;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_beta;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordtype">float</span> _epsilon;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> _act_info;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> };</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_NEBATCHNORMALIZATIONLAYERKERNEL_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_n_e_batch_normalization_layer_kernel_xhtml_ab5656bb5b6334bdbe6e606c715872828"><div class="ttname"><a href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">arm_compute::NEBatchNormalizationLayerKernel::name</a></div><div class="ttdeci">const char * name() const override</div><div class="ttdoc">Name of the kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_batch_normalization_layer_kernel_8h_source.xhtml#l00038">NEBatchNormalizationLayerKernel.h:38</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_n_e_batch_normalization_layer_kernel_xhtml_a2ba3c686bee772f8495b771ffac75506"><div class="ttname"><a href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a2ba3c686bee772f8495b771ffac75506">arm_compute::NEBatchNormalizationLayerKernel::configure</a></div><div class="ttdeci">void configure(ITensor *input, ITensor *output, const ITensor *mean, const ITensor *var, const ITensor *beta, const ITensor *gamma, float epsilon, ActivationLayerInfo act_info=ActivationLayerInfo())</div><div class="ttdoc">Set the input and output tensors. </div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ab146b9cbab6e73e7588b240dc709fe01"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">arm_compute::test::validation::beta</a></div><div class="ttdeci">beta</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00113">GEMM.cpp:113</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_p_p_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">arm_compute::ICPPKernel</a></div><div class="ttdoc">Common interface for all kernels implemented in C++. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_p_p_kernel_8h_source.xhtml#l00035">ICPPKernel.h:35</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor&#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class. </div><div class="ttdef"><b>Definition:</b> <a href="core_2_error_8h_source.xhtml#l00039">Error.h:39</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml">arm_compute::ActivationLayerInfo</a></div><div class="ttdoc">Activation Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00701">Types.h:701</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a096668313a9a819d54a2e65ec21ff0cc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">arm_compute::test::validation::info</a></div><div class="ttdeci">src info() -> set_format(Format::S16)</div></div>
+<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="01__library_8dox_source.xhtml#l00001">01_library.dox:1</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_batch_normalization_layer_kernel_xhtml_a919d4b5219114921ee77fb603f27293d"><div class="ttname"><a href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a919d4b5219114921ee77fb603f27293d">arm_compute::NEBatchNormalizationLayerKernel::NEBatchNormalizationLayerKernel</a></div><div class="ttdeci">NEBatchNormalizationLayerKernel()</div><div class="ttdoc">Default constructor. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_batch_normalization_layer_kernel_xhtml_a112b35dd205c62ea6ed1447ef226da82"><div class="ttname"><a href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">arm_compute::NEBatchNormalizationLayerKernel::run</a></div><div class="ttdeci">void run(const Window &window, const ThreadInfo &info) override</div><div class="ttdoc">Execute the kernel on the passed window. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_batch_normalization_layer_kernel_xhtml_a894acf4da15b0487db66df7d393df5e6"><div class="ttname"><a href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a894acf4da15b0487db66df7d393df5e6">arm_compute::NEBatchNormalizationLayerKernel::operator=</a></div><div class="ttdeci">NEBatchNormalizationLayerKernel & operator=(const NEBatchNormalizationLayerKernel &)=delete</div><div class="ttdoc">Prevent instances of this class from being copied (As this class contains pointers) ...</div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_batch_normalization_layer_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml">arm_compute::NEBatchNormalizationLayerKernel</a></div><div class="ttdoc">Interface for the batch normalization layer kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_batch_normalization_layer_kernel_8h_source.xhtml#l00035">NEBatchNormalizationLayerKernel.h:35</a></div></div>
<div class="ttc" id="structarm__compute_1_1_thread_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_thread_info.xhtml">arm_compute::ThreadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_types_8h_source.xhtml#l00058">CPPTypes.h:58</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_n_e_batch_normalization_layer_kernel_xhtml_a83daf577791f7e7e86b2dab68b5ca81a"><div class="ttname"><a href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a83daf577791f7e7e86b2dab68b5ca81a">arm_compute::NEBatchNormalizationLayerKernel::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *var, const ITensorInfo *beta, const ITensorInfo *gamma, float epsilon, ActivationLayerInfo act_info)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEBatchNormalizationLaye...</div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_batch_normalization_layer_kernel_xhtml_a5d323c6ced8450d0d3d76f5f58952a72"><div class="ttname"><a href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a5d323c6ced8450d0d3d76f5f58952a72">arm_compute::NEBatchNormalizationLayerKernel::~NEBatchNormalizationLayerKernel</a></div><div class="ttdeci">~NEBatchNormalizationLayerKernel()=default</div><div class="ttdoc">Default destructor. </div></div>
<div class="ttc" id="_i_n_e_kernel_8h_xhtml"><div class="ttname"><a href="_i_n_e_kernel_8h.xhtml">INEKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_kernel_xhtml_a3f5646133956f06348b310ccc3d36353"><div class="ttname"><a href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">arm_compute::IKernel::window</a></div><div class="ttdeci">const Window & window() const </div><div class="ttdoc">The maximum window the kernel can be executed on. </div></div>
-<div class="ttc" id="classarm__compute_1_1_n_e_batch_normalization_layer_kernel_xhtml_aeb75a88fc585946720bf786f50e4b66d"><div class="ttname"><a href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#aeb75a88fc585946720bf786f50e4b66d">arm_compute::NEBatchNormalizationLayerKernel::configure</a></div><div class="ttdeci">void configure(ITensor *input, ITensor *output, const ITensor *mean, const ITensor *var, const ITensor *beta, const ITensor *gamma, float epsilon)</div><div class="ttdoc">Set the input and output tensors. </div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a></div><div class="ttdoc">Describe a multidimensional execution window. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00039">Window.h:39</a></div></div>
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+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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projects / platform / upstream / armcl.git / blobdiff