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| <a href="_c_l_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> <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_CLSOFTMAXLAYERKERNEL_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_CLSOFTMAXLAYERKERNEL_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_c_l_simple3_d_kernel_8h.xhtml">arm_compute/core/CL/ICLSimple3DKernel.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="preprocessor">#include <tuple></span></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">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">class </span>ICLTensor;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_logits1_d_max_kernel.xhtml"> 36</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_logits1_d_max_kernel.xhtml">CLLogits1DMaxKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_simple3_d_kernel.xhtml">ICLSimple3DKernel</a></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_logits1_d_max_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</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_c_l_logits1_d_max_kernel.xhtml#a5192c53832168a12f3997ea01101aa06">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="l00053"></a><span class="lineno"> 53</span> };</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml"> 56</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml">CLLogits1DShiftExpSumKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml">ICLKernel</a></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#ae0144c1a57ad4a0bc1ab1e41e6214431">CLLogits1DShiftExpSumKernel</a>();</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#ae0144c1a57ad4a0bc1ab1e41e6214431">CLLogits1DShiftExpSumKernel</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml">CLLogits1DShiftExpSumKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml">CLLogits1DShiftExpSumKernel</a> &<a class="code" href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#a6768c8d3a565c30cd874d894b218317c">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml">CLLogits1DShiftExpSumKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#ae0144c1a57ad4a0bc1ab1e41e6214431">CLLogits1DShiftExpSumKernel</a>(<a class="code" href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml">CLLogits1DShiftExpSumKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml">CLLogits1DShiftExpSumKernel</a> &<a class="code" href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#a6768c8d3a565c30cd874d894b218317c">operator=</a>(<a class="code" href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml">CLLogits1DShiftExpSumKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#aa907109679201f35839ab17cbb8cb84a">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *max, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>, <span class="keywordtype">float</span> beta = 1.0f);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</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_c_l_logits1_d_shift_exp_sum_kernel.xhtml#aa1f93168c2675d291b43b63574c2c381">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> *max, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">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#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, cl::CommandQueue &queue) <span class="keyword">override</span>;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_input;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_max;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_output;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_sum;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> };</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div><div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml"> 100</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml">CLLogits1DMaxShiftExpSumKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml">ICLKernel</a></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00104"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a6474b575b0139e3e1973acc9179556b8"> 104</a></span>  <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a6474b575b0139e3e1973acc9179556b8">ParallelReductionInfo</a> = std::tuple<bool, unsigned int>;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#ad265f3317602210f39f9bfc76df0f214">CLLogits1DMaxShiftExpSumKernel</a>();</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#ad265f3317602210f39f9bfc76df0f214">CLLogits1DMaxShiftExpSumKernel</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml">CLLogits1DMaxShiftExpSumKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml">CLLogits1DMaxShiftExpSumKernel</a> &<a class="code" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#afd28bfde2ba6f90c161eb1f2678cb6f9">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml">CLLogits1DMaxShiftExpSumKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#ad265f3317602210f39f9bfc76df0f214">CLLogits1DMaxShiftExpSumKernel</a>(<a class="code" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml">CLLogits1DMaxShiftExpSumKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml">CLLogits1DMaxShiftExpSumKernel</a> &<a class="code" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#afd28bfde2ba6f90c161eb1f2678cb6f9">operator=</a>(<a class="code" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml">CLLogits1DMaxShiftExpSumKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#ac168c44d948adca330a511f2c5c5664e">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *max, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>, <span class="keywordtype">float</span> beta = 1.0f);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</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_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a62885f3bde4b458c02316bfc3f339fbc">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> *max, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">static</span> <a class="code" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a6474b575b0139e3e1973acc9179556b8">ParallelReductionInfo</a> <a class="code" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a78a33824fc1fd7c44535530ebd917eb4">is_parallel_reduction</a>(<span class="keywordtype">size_t</span> size);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">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#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, cl::CommandQueue &queue) <span class="keyword">override</span>;</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="keyword">private</span>:</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_input;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_max;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_output;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_sum;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _grid_size;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _serial_vector_size;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _parallel_vector_size;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> };</div><div class="line"><a name="l00163"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml"> 163</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml">CLLogits1DNormKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml">ICLKernel</a></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> {</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a65a94de36a0b70e490bcdee287ff6c4d">CLLogits1DNormKernel</a>();</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <a class="code" href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a65a94de36a0b70e490bcdee287ff6c4d">CLLogits1DNormKernel</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml">CLLogits1DNormKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <a class="code" href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml">CLLogits1DNormKernel</a> &<a class="code" href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a6ca0b2c3d501bc8062121facf4443980">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml">CLLogits1DNormKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <a class="code" href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a65a94de36a0b70e490bcdee287ff6c4d">CLLogits1DNormKernel</a>(<a class="code" href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml">CLLogits1DNormKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml">CLLogits1DNormKernel</a> &<a class="code" href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a6ca0b2c3d501bc8062121facf4443980">operator=</a>(<a class="code" href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml">CLLogits1DNormKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a9bca697c45946b4c488e500103836794">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <span class="keywordtype">float</span> beta = 1.0f);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</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_c_l_logits1_d_norm_kernel.xhtml#a4695d31f9e67a1344f00f52158f02330">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> *<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>, <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="l00193"></a><span class="lineno"> 193</span> </div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">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#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, cl::CommandQueue &queue) <span class="keyword">override</span>;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_input;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_sum;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_output;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> };</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> <span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_CLSOFTMAXLAYERKERNEL_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml">arm_compute::CLLogits1DMaxShiftExpSumKernel</a></div><div class="ttdoc">Interface for max, shifting, exponentiating and summing the logits.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_softmax_layer_kernel_8h_source.xhtml#l00100">CLSoftmaxLayerKernel.h:100</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_kernel_xhtml_ad34a46f53686c12a5c5e717cc9617fb6"><div class="ttname"><a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">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 class="ttdef"><b>Definition:</b> <a href="_i_kernel_8cpp_source.xhtml#l00028">IKernel.cpp:28</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel_xhtml_ae0144c1a57ad4a0bc1ab1e41e6214431"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#ae0144c1a57ad4a0bc1ab1e41e6214431">arm_compute::CLLogits1DShiftExpSumKernel::CLLogits1DShiftExpSumKernel</a></div><div class="ttdeci">CLLogits1DShiftExpSumKernel()</div><div class="ttdoc">Default constructor.</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#l00065">reduction_operation.cl:65</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel_xhtml_ad265f3317602210f39f9bfc76df0f214"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#ad265f3317602210f39f9bfc76df0f214">arm_compute::CLLogits1DMaxShiftExpSumKernel::CLLogits1DMaxShiftExpSumKernel</a></div><div class="ttdeci">CLLogits1DMaxShiftExpSumKernel()</div><div class="ttdoc">Default constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_softmax_layer_kernel_8cpp_source.xhtml#l00215">CLSoftmaxLayerKernel.cpp:215</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_norm_kernel_xhtml_a9bca697c45946b4c488e500103836794"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a9bca697c45946b4c488e500103836794">arm_compute::CLLogits1DNormKernel::configure</a></div><div class="ttdeci">void configure(const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, float beta=1.0f)</div><div class="ttdoc">Set the input and output tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_softmax_layer_kernel_8cpp_source.xhtml#l00337">CLSoftmaxLayerKernel.cpp:337</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'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_c_l_logits1_d_norm_kernel_xhtml_a65a94de36a0b70e490bcdee287ff6c4d"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a65a94de36a0b70e490bcdee287ff6c4d">arm_compute::CLLogits1DNormKernel::CLLogits1DNormKernel</a></div><div class="ttdeci">CLLogits1DNormKernel()</div><div class="ttdoc">Default constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_softmax_layer_kernel_8cpp_source.xhtml#l00332">CLSoftmaxLayerKernel.cpp:332</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_norm_kernel_xhtml_a6ca0b2c3d501bc8062121facf4443980"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a6ca0b2c3d501bc8062121facf4443980">arm_compute::CLLogits1DNormKernel::operator=</a></div><div class="ttdeci">CLLogits1DNormKernel & operator=(const CLLogits1DNormKernel &)=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_c_l_logits1_d_max_shift_exp_sum_kernel_xhtml_afd28bfde2ba6f90c161eb1f2678cb6f9"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#afd28bfde2ba6f90c161eb1f2678cb6f9">arm_compute::CLLogits1DMaxShiftExpSumKernel::operator=</a></div><div class="ttdeci">CLLogits1DMaxShiftExpSumKernel & operator=(const CLLogits1DMaxShiftExpSumKernel &)=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_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="_error_8h_source.xhtml#l00052">Error.h:52</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml">arm_compute::ICLKernel</a></div><div class="ttdoc">Common interface for all the OpenCL kernels.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00043">ICLKernel.h:43</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2018 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel_xhtml_a493987e85723a8000eb26d1f00e2ad0e"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">arm_compute::CLLogits1DShiftExpSumKernel::run</a></div><div class="ttdeci">void run(const Window &window, cl::CommandQueue &queue) override</div><div class="ttdoc">Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel_xhtml_aa907109679201f35839ab17cbb8cb84a"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#aa907109679201f35839ab17cbb8cb84a">arm_compute::CLLogits1DShiftExpSumKernel::configure</a></div><div class="ttdeci">void configure(const ICLTensor *input, const ICLTensor *max, ICLTensor *output, ICLTensor *sum, float beta=1.0f)</div><div class="ttdoc">Set the input and output tensors.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel_xhtml_a6768c8d3a565c30cd874d894b218317c"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#a6768c8d3a565c30cd874d894b218317c">arm_compute::CLLogits1DShiftExpSumKernel::operator=</a></div><div class="ttdeci">CLLogits1DShiftExpSumKernel & operator=(const CLLogits1DShiftExpSumKernel &)=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_c_l_logits1_d_max_kernel_xhtml_a5192c53832168a12f3997ea01101aa06"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_max_kernel.xhtml#a5192c53832168a12f3997ea01101aa06">arm_compute::CLLogits1DMaxKernel::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *output)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLLogits1DMaxKernel.</div></div> |
| <div class="ttc" id="_i_c_l_simple3_d_kernel_8h_xhtml"><div class="ttname"><a href="_i_c_l_simple3_d_kernel_8h.xhtml">ICLSimple3DKernel.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_norm_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml">arm_compute::CLLogits1DNormKernel</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="_c_l_softmax_layer_kernel_8h_source.xhtml#l00163">CLSoftmaxLayerKernel.h:163</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_c_l_simple3_d_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_simple3_d_kernel.xhtml">arm_compute::ICLSimple3DKernel</a></div><div class="ttdoc">Interface for simple OpenCL kernels having 1 tensor input and 1 tensor output.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_simple3_d_kernel_8h_source.xhtml#l00036">ICLSimple3DKernel.h:36</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml">arm_compute::CLLogits1DShiftExpSumKernel</a></div><div class="ttdoc">Interface for shifting, exponentiating and summing the logits.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_softmax_layer_kernel_8h_source.xhtml#l00056">CLSoftmaxLayerKernel.h:56</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel_xhtml_a493987e85723a8000eb26d1f00e2ad0e"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">arm_compute::CLLogits1DMaxShiftExpSumKernel::run</a></div><div class="ttdeci">void run(const Window &window, cl::CommandQueue &queue) override</div><div class="ttdoc">Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_softmax_layer_kernel_8cpp_source.xhtml#l00300">CLSoftmaxLayerKernel.cpp:300</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_max_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_max_kernel.xhtml">arm_compute::CLLogits1DMaxKernel</a></div><div class="ttdoc">Interface for the identifying the max value of 1D Logits.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_softmax_layer_kernel_8h_source.xhtml#l00036">CLSoftmaxLayerKernel.h:36</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_tensor.xhtml">arm_compute::ICLTensor</a></div><div class="ttdoc">Interface for OpenCL tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_tensor_8h_source.xhtml#l00042">ICLTensor.h:42</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel_xhtml_a78a33824fc1fd7c44535530ebd917eb4"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a78a33824fc1fd7c44535530ebd917eb4">arm_compute::CLLogits1DMaxShiftExpSumKernel::is_parallel_reduction</a></div><div class="ttdeci">static ParallelReductionInfo is_parallel_reduction(size_t size)</div><div class="ttdoc">Checks if the given size is eligible for parallel reduction.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_softmax_layer_kernel_8cpp_source.xhtml#l00293">CLSoftmaxLayerKernel.cpp:293</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel_xhtml_a62885f3bde4b458c02316bfc3f339fbc"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a62885f3bde4b458c02316bfc3f339fbc">arm_compute::CLLogits1DMaxShiftExpSumKernel::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLLogits1DMaxShiftExpSum...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_softmax_layer_kernel_8cpp_source.xhtml#l00285">CLSoftmaxLayerKernel.cpp:285</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel_xhtml_a6474b575b0139e3e1973acc9179556b8"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a6474b575b0139e3e1973acc9179556b8">arm_compute::CLLogits1DMaxShiftExpSumKernel::ParallelReductionInfo</a></div><div class="ttdeci">std::tuple< bool, unsigned int > ParallelReductionInfo</div><div class="ttdoc">Info for whether a parallel reduction will be run and the vector size of the execution.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_softmax_layer_kernel_8h_source.xhtml#l00104">CLSoftmaxLayerKernel.h:104</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel_xhtml_ac168c44d948adca330a511f2c5c5664e"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#ac168c44d948adca330a511f2c5c5664e">arm_compute::CLLogits1DMaxShiftExpSumKernel::configure</a></div><div class="ttdeci">void configure(const ICLTensor *input, ICLTensor *max, ICLTensor *output, ICLTensor *sum, float beta=1.0f)</div><div class="ttdoc">Set the input and output tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_softmax_layer_kernel_8cpp_source.xhtml#l00220">CLSoftmaxLayerKernel.cpp:220</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_norm_kernel_xhtml_a493987e85723a8000eb26d1f00e2ad0e"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">arm_compute::CLLogits1DNormKernel::run</a></div><div class="ttdeci">void run(const Window &window, cl::CommandQueue &queue) override</div><div class="ttdoc">Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_softmax_layer_kernel_8cpp_source.xhtml#l00382">CLSoftmaxLayerKernel.cpp:382</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_max_kernel_xhtml_a074e10cfb217e657b9e81adeca2abc68"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_max_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68">arm_compute::CLLogits1DMaxKernel::configure</a></div><div class="ttdeci">void configure(const ICLTensor *input, ICLTensor *output)</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> |
| <div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_norm_kernel_xhtml_a4695d31f9e67a1344f00f52158f02330"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a4695d31f9e67a1344f00f52158f02330">arm_compute::CLLogits1DNormKernel::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *sum, const ITensorInfo *output)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLLogits1DNormKernel.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_softmax_layer_kernel_8cpp_source.xhtml#l00374">CLSoftmaxLayerKernel.cpp:374</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel_xhtml_aa1f93168c2675d291b43b63574c2c381"><div class="ttname"><a href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#aa1f93168c2675d291b43b63574c2c381">arm_compute::CLLogits1DShiftExpSumKernel::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLLogits1DShiftExpSumKer...</div></div> |
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