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<div class="title">NESoftmaxLayerKernel.h</div> </div>
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<a href="_n_e_softmax_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>&#160;<span class="comment">/*</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2017 ARM Limited.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<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>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<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>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<span class="comment"> * SOFTWARE.</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_NESOFTMAXLAYERKERNEL_H__</span></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor"></span><span class="preprocessor">#define __ARM_COMPUTE_NESOFTMAXLAYERKERNEL_H__</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_n_e_kernel_8h.xhtml">arm_compute/core/NEON/INEKernel.h</a>&quot;</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_n_e_simple_kernel_8h.xhtml">arm_compute/core/NEON/INESimpleKernel.h</a>&quot;</span></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;<span class="keyword">namespace </span>arm_compute</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;<span class="keyword">class </span>ITensor;</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;</div>
<div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml"> 35</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml">NELogits1DMaxKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">INESimpleKernel</a></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;{</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a7dcfcda37359d31c2510ad865f4ca051">NELogits1DMaxKernel</a>();</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a83a344e60eb7db895953a942abf16628">configure</a>(<span class="keyword">const</span> <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);</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; <span class="comment">// Inherited methods overridden:</span></div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<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> &amp;<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="l00049"></a><span class="lineno"> 49</span>&#160; <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</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="keyword">private</span>:</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keyword">using</span> Logits1DMaxFunction = void(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *in, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *out, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;window);</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;<span class="keyword">private</span>:</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; Logits1DMaxFunction *_func;</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> _border_size;</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;};</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;</div>
<div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml"> 60</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml">NELogits1DShiftExpSumKernel</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="l00061"></a><span class="lineno"> 61</span>&#160;{</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml#a47f13f5423a3a7e32d82e74a6c918cac">NELogits1DShiftExpSumKernel</a>();</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml#a47f13f5423a3a7e32d82e74a6c918cac">NELogits1DShiftExpSumKernel</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml">NELogits1DShiftExpSumKernel</a> &amp;) = <span class="keyword">delete</span>;</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml">NELogits1DShiftExpSumKernel</a> &amp;<a class="code" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml#ad460f5c37074598ab512070cbaca08b3">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml">NELogits1DShiftExpSumKernel</a> &amp;) = <span class="keyword">delete</span>;</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml#a47f13f5423a3a7e32d82e74a6c918cac">NELogits1DShiftExpSumKernel</a>(<a class="code" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml">NELogits1DShiftExpSumKernel</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml">NELogits1DShiftExpSumKernel</a> &amp;<a class="code" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml#ad460f5c37074598ab512070cbaca08b3">operator=</a>(<a class="code" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml">NELogits1DShiftExpSumKernel</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml#a095126899a98519c75faf03ec9fa5762">~NELogits1DShiftExpSumKernel</a>() = <span class="keywordflow">default</span>;</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml#a329a69e4b661c7135cdef8aceef4005b">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <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_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a>, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>);</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="comment">// Inherited methods overridden:</span></div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<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> &amp;<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="l00086"></a><span class="lineno"> 86</span>&#160;</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;<span class="keyword">private</span>:</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="keyword">using</span> Logits1DShiftExpSumFunction = void(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *in, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *max, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *out, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *sum, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;window);</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;<span class="keyword">private</span>:</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; Logits1DShiftExpSumFunction *_func;</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_input;</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_max;</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_output;</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_sum;</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160;};</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;</div>
<div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml"> 99</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml">NELogits1DNormKernel</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="l00100"></a><span class="lineno"> 100</span>&#160;{</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml#afa2a1794ff29695536321c2430e6dcad">NELogits1DNormKernel</a>();</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml#afa2a1794ff29695536321c2430e6dcad">NELogits1DNormKernel</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml">NELogits1DNormKernel</a> &amp;) = <span class="keyword">delete</span>;</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml">NELogits1DNormKernel</a> &amp;<a class="code" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml#a0b7f69d0c7332d81579a4dce541a90c0">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml">NELogits1DNormKernel</a> &amp;) = <span class="keyword">delete</span>;</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml#afa2a1794ff29695536321c2430e6dcad">NELogits1DNormKernel</a>(<a class="code" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml">NELogits1DNormKernel</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml">NELogits1DNormKernel</a> &amp;<a class="code" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml#a0b7f69d0c7332d81579a4dce541a90c0">operator=</a>(<a class="code" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml">NELogits1DNormKernel</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml#a1a9bde295eb0b6174872ebc9477a9b4d">~NELogits1DNormKernel</a>() = <span class="keywordflow">default</span>;</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml#a23baed666ceb8232bbde8724412ee0b5">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output);</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="comment">// Inherited methods overridden:</span></div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<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> &amp;<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="l00124"></a><span class="lineno"> 124</span>&#160;</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;<span class="keyword">private</span>:</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="keyword">using</span> Logits1DNormFunction = void(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *in, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *sum, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *out, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;window);</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160;<span class="keyword">private</span>:</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; Logits1DNormFunction *_func;</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_input;</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_sum;</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_output;</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160;};</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;} <span class="comment">// namespace arm_compute</span></div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_NESOFTMAXLAYERKERNEL_H__ */</span><span class="preprocessor"></span></div>
<div class="ttc" id="classarm__compute_1_1_n_e_logits1_d_norm_kernel_xhtml_afa2a1794ff29695536321c2430e6dcad"><div class="ttname"><a href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml#afa2a1794ff29695536321c2430e6dcad">arm_compute::NELogits1DNormKernel::NELogits1DNormKernel</a></div><div class="ttdeci">NELogits1DNormKernel()</div><div class="ttdoc">Default constructor. </div></div>
<div class="ttc" id="_i_n_e_simple_kernel_8h_xhtml"><div class="ttname"><a href="_i_n_e_simple_kernel_8h.xhtml">INESimpleKernel.h</a></div></div>
<div class="ttc" id="structarm__compute_1_1_border_size_xhtml"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml">arm_compute::BorderSize</a></div><div class="ttdoc">Container for 2D border size. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00136">Types.h:136</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_n_e_logits1_d_norm_kernel_xhtml_a23baed666ceb8232bbde8724412ee0b5"><div class="ttname"><a href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml#a23baed666ceb8232bbde8724412ee0b5">arm_compute::NELogits1DNormKernel::configure</a></div><div class="ttdeci">void configure(const ITensor *input, const ITensor *sum, ITensor *output)</div><div class="ttdoc">Set the input and output tensors. </div></div>
<div class="ttc" id="reduction__operation_8cl_xhtml_ab0df00f5333da51860deb93deb44a782"><div class="ttname"><a href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a></div><div class="ttdeci">DATA_TYPE sum(__global const DATA_TYPE *input)</div><div class="ttdoc">Calculate sum of a vector. </div><div class="ttdef"><b>Definition:</b> <a href="reduction__operation_8cl_source.xhtml#l00052">reduction_operation.cl:52</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_logits1_d_norm_kernel_xhtml_a1a9bde295eb0b6174872ebc9477a9b4d"><div class="ttname"><a href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml#a1a9bde295eb0b6174872ebc9477a9b4d">arm_compute::NELogits1DNormKernel::~NELogits1DNormKernel</a></div><div class="ttdeci">~NELogits1DNormKernel()=default</div><div class="ttdoc">Default destructor. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml">arm_compute::NELogits1DShiftExpSumKernel</a></div><div class="ttdoc">Interface for shifting the logits values around the max value and exponentiating the result...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_softmax_layer_kernel_8h_source.xhtml#l00060">NESoftmaxLayerKernel.h:60</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_logits1_d_max_kernel_xhtml_a7dcfcda37359d31c2510ad865f4ca051"><div class="ttname"><a href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a7dcfcda37359d31c2510ad865f4ca051">arm_compute::NELogits1DMaxKernel::NELogits1DMaxKernel</a></div><div class="ttdeci">NELogits1DMaxKernel()</div><div class="ttdoc">Default constructor. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_logits1_d_norm_kernel_xhtml_a0b7f69d0c7332d81579a4dce541a90c0"><div class="ttname"><a href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml#a0b7f69d0c7332d81579a4dce541a90c0">arm_compute::NELogits1DNormKernel::operator=</a></div><div class="ttdeci">NELogits1DNormKernel &amp; operator=(const NELogits1DNormKernel &amp;)=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_i_c_p_p_simple_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">arm_compute::ICPPSimpleKernel</a></div><div class="ttdoc">Interface for simple NEON kernels having 1 tensor input and 1 tensor output. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_p_p_simple_kernel_8h_source.xhtml#l00034">ICPPSimpleKernel.h:34</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() -&gt; set_format(Format::S16)</div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_logits1_d_max_kernel_xhtml_a112b35dd205c62ea6ed1447ef226da82"><div class="ttname"><a href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">arm_compute::NELogits1DMaxKernel::run</a></div><div class="ttdeci">void run(const Window &amp;window, const ThreadInfo &amp;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_logits1_d_shift_exp_sum_kernel_xhtml_a112b35dd205c62ea6ed1447ef226da82"><div class="ttname"><a href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">arm_compute::NELogits1DShiftExpSumKernel::run</a></div><div class="ttdeci">void run(const Window &amp;window, const ThreadInfo &amp;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_logits1_d_shift_exp_sum_kernel_xhtml_ad460f5c37074598ab512070cbaca08b3"><div class="ttname"><a href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml#ad460f5c37074598ab512070cbaca08b3">arm_compute::NELogits1DShiftExpSumKernel::operator=</a></div><div class="ttdeci">NELogits1DShiftExpSumKernel &amp; operator=(const NELogits1DShiftExpSumKernel &amp;)=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_logits1_d_shift_exp_sum_kernel_xhtml_a095126899a98519c75faf03ec9fa5762"><div class="ttname"><a href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml#a095126899a98519c75faf03ec9fa5762">arm_compute::NELogits1DShiftExpSumKernel::~NELogits1DShiftExpSumKernel</a></div><div class="ttdeci">~NELogits1DShiftExpSumKernel()=default</div><div class="ttdoc">Default destructor. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_logits1_d_norm_kernel_xhtml_a112b35dd205c62ea6ed1447ef226da82"><div class="ttname"><a href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">arm_compute::NELogits1DNormKernel::run</a></div><div class="ttdeci">void run(const Window &amp;window, const ThreadInfo &amp;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_logits1_d_max_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml">arm_compute::NELogits1DMaxKernel</a></div><div class="ttdoc">Interface for the identifying the max value of 1D Logits. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_softmax_layer_kernel_8h_source.xhtml#l00035">NESoftmaxLayerKernel.h:35</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_logits1_d_max_kernel_xhtml_a83a344e60eb7db895953a942abf16628"><div class="ttname"><a href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a83a344e60eb7db895953a942abf16628">arm_compute::NELogits1DMaxKernel::configure</a></div><div class="ttdeci">void configure(const ITensor *input, ITensor *output)</div><div class="ttdoc">Set the input and output tensors. </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_logits1_d_shift_exp_sum_kernel_xhtml_a329a69e4b661c7135cdef8aceef4005b"><div class="ttname"><a href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml#a329a69e4b661c7135cdef8aceef4005b">arm_compute::NELogits1DShiftExpSumKernel::configure</a></div><div class="ttdeci">void configure(const ITensor *input, const ITensor *max, ITensor *output, ITensor *sum)</div><div class="ttdoc">Set the input and output tensors. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_logits1_d_max_kernel_xhtml_a423f9a45a52983b4de5e2b347f4369c7"><div class="ttname"><a href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">arm_compute::NELogits1DMaxKernel::border_size</a></div><div class="ttdeci">BorderSize border_size() const override</div><div class="ttdoc">The size of the border for that kernel. </div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point&lt; T &gt; max(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00889">FixedPoint.h:889</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel_xhtml_a47f13f5423a3a7e32d82e74a6c918cac"><div class="ttname"><a href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml#a47f13f5423a3a7e32d82e74a6c918cac">arm_compute::NELogits1DShiftExpSumKernel::NELogits1DShiftExpSumKernel</a></div><div class="ttdeci">NELogits1DShiftExpSumKernel()</div><div class="ttdoc">Default constructor. </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 &amp; 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_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>
<div class="ttc" id="classarm__compute_1_1_n_e_logits1_d_norm_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml">arm_compute::NELogits1DNormKernel</a></div><div class="ttdoc">Interface for calculating the final step of the Softmax Layer where each logit value is multiplied by...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_softmax_layer_kernel_8h_source.xhtml#l00099">NESoftmaxLayerKernel.h:99</a></div></div>
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