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<div class="title">CLElementwiseOperations.cpp</div> </div>
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<a href="_c_l_elementwise_operations_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2018-2019 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">#include &quot;<a class="code" href="_c_l_elementwise_operations_8h.xhtml">arm_compute/runtime/CL/functions/CLElementwiseOperations.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_c_l_tensor_8h.xhtml">arm_compute/core/CL/ICLTensor.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_elementwise_operation_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLElementwiseOperationKernel.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="_toolchain_support_8h.xhtml">support/ToolchainSupport.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="preprocessor">#include &lt;utility&gt;</span></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">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;{</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;{</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="keywordtype">void</span> configure_border_handler(CLFillBorderKernel &amp;border_handler, BorderSize border_size, ICLTensor *input1, ICLTensor *input2, <span class="keyword">const</span> ICLTensor *output)</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;{</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keywordflow">if</span>(output-&gt;info()-&gt;dimension(0) &gt; 1)</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; ICLTensor *broadcasted_info = (input1-&gt;info()-&gt;dimension(0) == 1) ? input1 : input2;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <span class="keywordflow">if</span>(broadcasted_info-&gt;info()-&gt;dimension(0) == 1)</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; {</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; border_handler.configure(broadcasted_info, border_size, <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a4ef59320fbe90fe47d40f1f71e4c5daa">BorderMode::REPLICATE</a>);</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; }</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;}</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;} <span class="comment">// namespace</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;</div><div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_arithmetic_addition.xhtml#a7af75ca77a6e9eb53532e7ab1317bdc3"> 50</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_arithmetic_addition.xhtml#a7af75ca77a6e9eb53532e7ab1317bdc3">CLArithmeticAddition::configure</a>(<a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input1, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input2, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>)</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;{</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keyword">auto</span> k = arm_compute::support::cpp14::make_unique&lt;CLSaturatedArithmeticOperationKernel&gt;();</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; k-&gt;configure(<a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea9eeb52badb613229884838847294b90d">ArithmeticOperation::ADD</a>, input1, input2, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; _kernel = std::move(k);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; configure_border_handler(_border_handler, _kernel-&gt;border_size(), input1, input2, output);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;}</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"><a class="line" href="classarm__compute_1_1_c_l_arithmetic_addition.xhtml#a5e951bf3e414ddcd908245bcf284b08f"> 58</a></span>&#160;<a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_c_l_arithmetic_addition.xhtml#a5e951bf3e414ddcd908245bcf284b08f">CLArithmeticAddition::validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input2, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>)</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;{</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_c_l_saturated_arithmetic_operation_kernel.xhtml#ad8de41bdd36af838b251be792a8d871f">CLSaturatedArithmeticOperationKernel::validate</a>(<a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea9eeb52badb613229884838847294b90d">ArithmeticOperation::ADD</a>, input1, input2, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</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;</div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml#a7af75ca77a6e9eb53532e7ab1317bdc3"> 63</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml#a7af75ca77a6e9eb53532e7ab1317bdc3">CLArithmeticSubtraction::configure</a>(<a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input1, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input2, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>)</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;{</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="keyword">auto</span> k = arm_compute::support::cpp14::make_unique&lt;CLSaturatedArithmeticOperationKernel&gt;();</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; k-&gt;configure(<a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea241dd841abade20fcb27b8a9f494e1eb">ArithmeticOperation::SUB</a>, input1, input2, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; _kernel = std::move(k);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; configure_border_handler(_border_handler, _kernel-&gt;border_size(), input1, input2, output);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;}</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml#a5e951bf3e414ddcd908245bcf284b08f"> 71</a></span>&#160;<a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml#a5e951bf3e414ddcd908245bcf284b08f">CLArithmeticSubtraction::validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input2, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>)</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;{</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_c_l_saturated_arithmetic_operation_kernel.xhtml#ad8de41bdd36af838b251be792a8d871f">CLSaturatedArithmeticOperationKernel::validate</a>(<a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea241dd841abade20fcb27b8a9f494e1eb">ArithmeticOperation::SUB</a>, input1, input2, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;}</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;</div><div class="line"><a name="l00077"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_arithmetic_division.xhtml#aa08e0c678275eb37e8de42be52d76e35"> 77</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_arithmetic_division.xhtml#aa08e0c678275eb37e8de42be52d76e35">CLArithmeticDivision::configure</a>(<a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input1, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input2, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output)</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;{</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keyword">auto</span> k = arm_compute::support::cpp14::make_unique&lt;CLArithmeticOperationKernel&gt;();</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; k-&gt;configure(<a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea29bbf66f7f8529ec47e394fb5a36c646">ArithmeticOperation::DIV</a>, input1, input2, output);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; _kernel = std::move(k);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; configure_border_handler(_border_handler, _kernel-&gt;border_size(), input1, input2, output);</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;</div><div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_arithmetic_division.xhtml#afe71126bef1735fe1613a6da30d2c0c4"> 85</a></span>&#160;<a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_c_l_arithmetic_division.xhtml#afe71126bef1735fe1613a6da30d2c0c4">CLArithmeticDivision::validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input2, <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="l00086"></a><span class="lineno"> 86</span>&#160;{</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_c_l_arithmetic_operation_kernel.xhtml#a52095bfe8f4fc368d3ec84a8dac4d616">CLArithmeticOperationKernel::validate</a>(<a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea29bbf66f7f8529ec47e394fb5a36c646">ArithmeticOperation::DIV</a>, input1, input2, output);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;}</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"><a class="line" href="classarm__compute_1_1_c_l_elementwise_max.xhtml#aa08e0c678275eb37e8de42be52d76e35"> 90</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_elementwise_max.xhtml#aa08e0c678275eb37e8de42be52d76e35">CLElementwiseMax::configure</a>(<a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input1, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input2, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output)</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;{</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keyword">auto</span> k = arm_compute::support::cpp14::make_unique&lt;CLArithmeticOperationKernel&gt;();</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; k-&gt;configure(<a class="code" href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5">ArithmeticOperation::MAX</a>, input1, input2, output);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; _kernel = std::move(k);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; configure_border_handler(_border_handler, _kernel-&gt;border_size(), input1, input2, output);</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="l00098"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_elementwise_max.xhtml#afe71126bef1735fe1613a6da30d2c0c4"> 98</a></span>&#160;<a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_c_l_elementwise_max.xhtml#afe71126bef1735fe1613a6da30d2c0c4">CLElementwiseMax::validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input2, <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="l00099"></a><span class="lineno"> 99</span>&#160;{</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_c_l_arithmetic_operation_kernel.xhtml#a52095bfe8f4fc368d3ec84a8dac4d616">CLArithmeticOperationKernel::validate</a>(<a class="code" href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5">ArithmeticOperation::MAX</a>, input1, input2, output);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;}</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_elementwise_min.xhtml#aa08e0c678275eb37e8de42be52d76e35"> 103</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_elementwise_min.xhtml#aa08e0c678275eb37e8de42be52d76e35">CLElementwiseMin::configure</a>(<a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input1, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input2, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output)</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;{</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <span class="keyword">auto</span> k = arm_compute::support::cpp14::make_unique&lt;CLArithmeticOperationKernel&gt;();</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; k-&gt;configure(<a class="code" href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858ace31e2a082d17e038fcc6e3006166653">ArithmeticOperation::MIN</a>, input1, input2, output);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; _kernel = std::move(k);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; configure_border_handler(_border_handler, _kernel-&gt;border_size(), input1, input2, output);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;}</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_elementwise_min.xhtml#afe71126bef1735fe1613a6da30d2c0c4"> 111</a></span>&#160;<a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_c_l_elementwise_min.xhtml#afe71126bef1735fe1613a6da30d2c0c4">CLElementwiseMin::validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input2, <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="l00112"></a><span class="lineno"> 112</span>&#160;{</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_c_l_arithmetic_operation_kernel.xhtml#a52095bfe8f4fc368d3ec84a8dac4d616">CLArithmeticOperationKernel::validate</a>(<a class="code" href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858ace31e2a082d17e038fcc6e3006166653">ArithmeticOperation::MIN</a>, input1, input2, output);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;}</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;</div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_elementwise_squared_diff.xhtml#aa08e0c678275eb37e8de42be52d76e35"> 116</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_elementwise_squared_diff.xhtml#aa08e0c678275eb37e8de42be52d76e35">CLElementwiseSquaredDiff::configure</a>(<a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input1, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input2, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output)</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;{</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <span class="keyword">auto</span> k = arm_compute::support::cpp14::make_unique&lt;CLArithmeticOperationKernel&gt;();</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; k-&gt;configure(<a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea46ea186b87dc545033d86ba8d6e63916">ArithmeticOperation::SQUARED_DIFF</a>, input1, input2, output);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; _kernel = std::move(k);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; configure_border_handler(_border_handler, _kernel-&gt;border_size(), input1, input2, output);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;}</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160;</div><div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_elementwise_squared_diff.xhtml#afe71126bef1735fe1613a6da30d2c0c4"> 124</a></span>&#160;<a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_c_l_elementwise_squared_diff.xhtml#afe71126bef1735fe1613a6da30d2c0c4">CLElementwiseSquaredDiff::validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input2, <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="l00125"></a><span class="lineno"> 125</span>&#160;{</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_c_l_arithmetic_operation_kernel.xhtml#a52095bfe8f4fc368d3ec84a8dac4d616">CLArithmeticOperationKernel::validate</a>(<a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea46ea186b87dc545033d86ba8d6e63916">ArithmeticOperation::SQUARED_DIFF</a>, input1, input2, output);</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;</div><div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_elementwise_power.xhtml#aa08e0c678275eb37e8de42be52d76e35"> 129</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_elementwise_power.xhtml#aa08e0c678275eb37e8de42be52d76e35">CLElementwisePower::configure</a>(<a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input1, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input2, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output)</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;{</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keyword">auto</span> k = arm_compute::support::cpp14::make_unique&lt;CLArithmeticOperationKernel&gt;();</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; k-&gt;configure(<a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aeac9c9c146c630ca5ef9197c73c032f4a6">ArithmeticOperation::POWER</a>, input1, input2, output);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; _kernel = std::move(k);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; configure_border_handler(_border_handler, _kernel-&gt;border_size(), input1, input2, output);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;}</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;</div><div class="line"><a name="l00137"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_elementwise_power.xhtml#afe71126bef1735fe1613a6da30d2c0c4"> 137</a></span>&#160;<a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_c_l_elementwise_power.xhtml#afe71126bef1735fe1613a6da30d2c0c4">CLElementwisePower::validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input2, <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="l00138"></a><span class="lineno"> 138</span>&#160;{</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_c_l_arithmetic_operation_kernel.xhtml#a52095bfe8f4fc368d3ec84a8dac4d616">CLArithmeticOperationKernel::validate</a>(<a class="code" href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aeac9c9c146c630ca5ef9197c73c032f4a6">ArithmeticOperation::POWER</a>, input1, input2, output);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;}</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="classarm__compute_1_1_c_l_arithmetic_addition_xhtml_a5e951bf3e414ddcd908245bcf284b08f"><div class="ttname"><a href="classarm__compute_1_1_c_l_arithmetic_addition.xhtml#a5e951bf3e414ddcd908245bcf284b08f">arm_compute::CLArithmeticAddition::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLSaturatedArithmeticOpe...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_elementwise_operations_8cpp_source.xhtml#l00058">CLElementwiseOperations.cpp:58</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a23d9f0c01c9e120dfb828ee922b7a8aeac9c9c146c630ca5ef9197c73c032f4a6"><div class="ttname"><a href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aeac9c9c146c630ca5ef9197c73c032f4a6">arm_compute::ArithmeticOperation::POWER</a></div><div class="ttdoc">x ^ y</div></div>
<div class="ttc" id="_toolchain_support_8h_xhtml"><div class="ttname"><a href="_toolchain_support_8h.xhtml">ToolchainSupport.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad986b73e9d5f47a623a9b6d773c25e34"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">arm_compute::test::validation::policy</a></div><div class="ttdeci">policy</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_arithmetic_addition_8cpp_source.xhtml#l00139">ArithmeticAddition.cpp:139</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_elementwise_power_xhtml_afe71126bef1735fe1613a6da30d2c0c4"><div class="ttname"><a href="classarm__compute_1_1_c_l_elementwise_power.xhtml#afe71126bef1735fe1613a6da30d2c0c4">arm_compute::CLElementwisePower::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLArithmeticOperationKer...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_elementwise_operations_8cpp_source.xhtml#l00137">CLElementwiseOperations.cpp:137</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a23d9f0c01c9e120dfb828ee922b7a8aea29bbf66f7f8529ec47e394fb5a36c646"><div class="ttname"><a href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea29bbf66f7f8529ec47e394fb5a36c646">arm_compute::ArithmeticOperation::DIV</a></div><div class="ttdoc">(x / y)</div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_arithmetic_subtraction_xhtml_a5e951bf3e414ddcd908245bcf284b08f"><div class="ttname"><a href="classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml#a5e951bf3e414ddcd908245bcf284b08f">arm_compute::CLArithmeticSubtraction::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLSaturatedArithmeticOpe...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_elementwise_operations_8cpp_source.xhtml#l00071">CLElementwiseOperations.cpp:71</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a23d9f0c01c9e120dfb828ee922b7a8aea9eeb52badb613229884838847294b90d"><div class="ttname"><a href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea9eeb52badb613229884838847294b90d">arm_compute::ArithmeticOperation::ADD</a></div><div class="ttdoc">(x + y)</div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_elementwise_max_xhtml_aa08e0c678275eb37e8de42be52d76e35"><div class="ttname"><a href="classarm__compute_1_1_c_l_elementwise_max.xhtml#aa08e0c678275eb37e8de42be52d76e35">arm_compute::CLElementwiseMax::configure</a></div><div class="ttdeci">void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output)</div><div class="ttdoc">Initialise the kernel's inputs, output and conversion policy.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_elementwise_operations_8cpp_source.xhtml#l00090">CLElementwiseOperations.cpp:90</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_arithmetic_addition_xhtml_a7af75ca77a6e9eb53532e7ab1317bdc3"><div class="ttname"><a href="classarm__compute_1_1_c_l_arithmetic_addition.xhtml#a7af75ca77a6e9eb53532e7ab1317bdc3">arm_compute::CLArithmeticAddition::configure</a></div><div class="ttdeci">void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ConvertPolicy policy)</div><div class="ttdoc">Initialise the kernel's inputs, output and conversion policy.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_elementwise_operations_8cpp_source.xhtml#l00050">CLElementwiseOperations.cpp:50</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_arithmetic_operation_kernel_xhtml_a52095bfe8f4fc368d3ec84a8dac4d616"><div class="ttname"><a href="classarm__compute_1_1_c_l_arithmetic_operation_kernel.xhtml#a52095bfe8f4fc368d3ec84a8dac4d616">arm_compute::CLArithmeticOperationKernel::validate</a></div><div class="ttdeci">static Status validate(ArithmeticOperation op, const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLArithmeticOperationKer...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_elementwise_operation_kernel_8cpp_source.xhtml#l00377">CLElementwiseOperationKernel.cpp:377</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="_error_8h_source.xhtml#l00052">Error.h:52</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_arithmetic_division_xhtml_afe71126bef1735fe1613a6da30d2c0c4"><div class="ttname"><a href="classarm__compute_1_1_c_l_arithmetic_division.xhtml#afe71126bef1735fe1613a6da30d2c0c4">arm_compute::CLArithmeticDivision::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLArithmeticDivision.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_elementwise_operations_8cpp_source.xhtml#l00085">CLElementwiseOperations.cpp:85</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) 2017-2020 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_elementwise_min_xhtml_aa08e0c678275eb37e8de42be52d76e35"><div class="ttname"><a href="classarm__compute_1_1_c_l_elementwise_min.xhtml#aa08e0c678275eb37e8de42be52d76e35">arm_compute::CLElementwiseMin::configure</a></div><div class="ttdeci">void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output)</div><div class="ttdoc">Initialise the kernel's inputs, output and conversion policy.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_elementwise_operations_8cpp_source.xhtml#l00103">CLElementwiseOperations.cpp:103</a></div></div>
<div class="ttc" id="_c_l_elementwise_operations_8h_xhtml"><div class="ttname"><a href="_c_l_elementwise_operations_8h.xhtml">CLElementwiseOperations.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_elementwise_squared_diff_xhtml_aa08e0c678275eb37e8de42be52d76e35"><div class="ttname"><a href="classarm__compute_1_1_c_l_elementwise_squared_diff.xhtml#aa08e0c678275eb37e8de42be52d76e35">arm_compute::CLElementwiseSquaredDiff::configure</a></div><div class="ttdeci">void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output)</div><div class="ttdoc">Initialise the kernel's inputs, output and conversion policy.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_elementwise_operations_8cpp_source.xhtml#l00116">CLElementwiseOperations.cpp:116</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00152">Error.h:152</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_arithmetic_subtraction_xhtml_a7af75ca77a6e9eb53532e7ab1317bdc3"><div class="ttname"><a href="classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml#a7af75ca77a6e9eb53532e7ab1317bdc3">arm_compute::CLArithmeticSubtraction::configure</a></div><div class="ttdeci">void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ConvertPolicy policy)</div><div class="ttdoc">Initialise the kernel's inputs, output and conversion policy.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_elementwise_operations_8cpp_source.xhtml#l00063">CLElementwiseOperations.cpp:63</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_elementwise_max_xhtml_afe71126bef1735fe1613a6da30d2c0c4"><div class="ttname"><a href="classarm__compute_1_1_c_l_elementwise_max.xhtml#afe71126bef1735fe1613a6da30d2c0c4">arm_compute::CLElementwiseMax::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLArithmeticOperationKer...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_elementwise_operations_8cpp_source.xhtml#l00098">CLElementwiseOperations.cpp:98</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_saturated_arithmetic_operation_kernel_xhtml_ad8de41bdd36af838b251be792a8d871f"><div class="ttname"><a href="classarm__compute_1_1_c_l_saturated_arithmetic_operation_kernel.xhtml#ad8de41bdd36af838b251be792a8d871f">arm_compute::CLSaturatedArithmeticOperationKernel::validate</a></div><div class="ttdeci">static Status validate(ArithmeticOperation op, const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ConvertPolicy &amp;policy)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLSaturatedArithmeticOpe...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_elementwise_operation_kernel_8cpp_source.xhtml#l00329">CLElementwiseOperationKernel.cpp:329</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_arithmetic_division_xhtml_aa08e0c678275eb37e8de42be52d76e35"><div class="ttname"><a href="classarm__compute_1_1_c_l_arithmetic_division.xhtml#aa08e0c678275eb37e8de42be52d76e35">arm_compute::CLArithmeticDivision::configure</a></div><div class="ttdeci">void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output)</div><div class="ttdoc">Initialise the kernel's inputs, output.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_elementwise_operations_8cpp_source.xhtml#l00077">CLElementwiseOperations.cpp:77</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_elementwise_min_xhtml_afe71126bef1735fe1613a6da30d2c0c4"><div class="ttname"><a href="classarm__compute_1_1_c_l_elementwise_min.xhtml#afe71126bef1735fe1613a6da30d2c0c4">arm_compute::CLElementwiseMin::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLArithmeticOperationKer...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_elementwise_operations_8cpp_source.xhtml#l00111">CLElementwiseOperations.cpp:111</a></div></div>
<div class="ttc" id="_c_l_elementwise_operation_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_elementwise_operation_kernel_8h.xhtml">CLElementwiseOperationKernel.h</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="_i_c_l_tensor_8h_xhtml"><div class="ttname"><a href="_i_c_l_tensor_8h.xhtml">ICLTensor.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a15a05537a472ee742404821851529327a4ef59320fbe90fe47d40f1f71e4c5daa"><div class="ttname"><a href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a4ef59320fbe90fe47d40f1f71e4c5daa">arm_compute::BorderMode::REPLICATE</a></div><div class="ttdoc">Pixels outside the image are assumed to have the same value as the closest image pixel.</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a23d9f0c01c9e120dfb828ee922b7a8aea46ea186b87dc545033d86ba8d6e63916"><div class="ttname"><a href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea46ea186b87dc545033d86ba8d6e63916">arm_compute::ArithmeticOperation::SQUARED_DIFF</a></div><div class="ttdoc">(x - y)^2</div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_elementwise_squared_diff_xhtml_afe71126bef1735fe1613a6da30d2c0c4"><div class="ttname"><a href="classarm__compute_1_1_c_l_elementwise_squared_diff.xhtml#afe71126bef1735fe1613a6da30d2c0c4">arm_compute::CLElementwiseSquaredDiff::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLArithmeticOperationKer...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_elementwise_operations_8cpp_source.xhtml#l00124">CLElementwiseOperations.cpp:124</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5"><div class="ttname"><a href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5">arm_compute::NonLinearFilterFunction::MAX</a></div><div class="ttdoc">Non linear dilate.</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_adf2ced65e536375a1c96425d9fced858ace31e2a082d17e038fcc6e3006166653"><div class="ttname"><a href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858ace31e2a082d17e038fcc6e3006166653">arm_compute::NonLinearFilterFunction::MIN</a></div><div class="ttdoc">Non linear erode.</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a23d9f0c01c9e120dfb828ee922b7a8aea241dd841abade20fcb27b8a9f494e1eb"><div class="ttname"><a href="namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea241dd841abade20fcb27b8a9f494e1eb">arm_compute::ArithmeticOperation::SUB</a></div><div class="ttdoc">(x - y)</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a82b8ac759c804bc1fb4e2d21e178fb6f"><div class="ttname"><a href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">arm_compute::ConvertPolicy</a></div><div class="ttdeci">ConvertPolicy</div><div class="ttdoc">Policy to handle overflow.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00359">Types.h:359</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_elementwise_power_xhtml_aa08e0c678275eb37e8de42be52d76e35"><div class="ttname"><a href="classarm__compute_1_1_c_l_elementwise_power.xhtml#aa08e0c678275eb37e8de42be52d76e35">arm_compute::CLElementwisePower::configure</a></div><div class="ttdeci">void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output)</div><div class="ttdoc">Initialise the kernel's inputs, output and conversion policy.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_elementwise_operations_8cpp_source.xhtml#l00129">CLElementwiseOperations.cpp:129</a></div></div>
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