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<div class="title">CLMeanStdDev.cpp</div> </div>
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<a href="_c_l_mean_std_dev_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) 2016-2019 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="_tensor_info_8h.xhtml">arm_compute/core/TensorInfo.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="_c_l_scheduler_8h.xhtml">arm_compute/runtime/CL/CLScheduler.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_mean_std_dev_8h.xhtml">arm_compute/runtime/CL/functions/CLMeanStdDev.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a>;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_mean_std_dev.xhtml#af155271d025ec7128806cb06f2e784a3"> 31</a></span>&#160;<a class="code" href="classarm__compute_1_1_c_l_mean_std_dev.xhtml#af155271d025ec7128806cb06f2e784a3">CLMeanStdDev::CLMeanStdDev</a>(std::shared_ptr&lt;IMemoryManager&gt; memory_manager) <span class="comment">// NOLINT</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; : _memory_group(std::move(memory_manager)),</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; _data_type(),</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; _num_pixels(),</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; _run_stddev(),</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; _reduction_operation_mean(),</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; _reduction_operation_stddev(),</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; _reduction_output_mean(),</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; _reduction_output_stddev(),</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; _mean(nullptr),</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; _stddev(nullptr),</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; _mean_stddev_kernel(),</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; _fill_border_kernel(),</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; _global_sum(),</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; _global_sum_squared()</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;</div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_mean_std_dev.xhtml#aa0c625593b8ab7d8bd1ba442519e5b36"> 49</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_mean_std_dev.xhtml#aa0c625593b8ab7d8bd1ba442519e5b36">CLMeanStdDev::validate</a>(<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <span class="keywordtype">float</span> *mean, <span class="keywordtype">float</span> *stddev)</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; <a class="code" href="_validate_8h.xhtml#ac8fa80a763f5e67ded3fe6385972c08a">ARM_COMPUTE_RETURN_ERROR_ON_TENSOR_NOT_2D</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute.xhtml#af5982a092e9eb743fce2d6392bdd8897">is_data_type_float</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>-&gt;data_type()))</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; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(mean);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(stddev);</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; <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab1806bf0c5a41f674fb9d2dc6af644f5">output_shape</a> = <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 1, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>-&gt;dimension(1) };</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> output_shape_info = <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab1806bf0c5a41f674fb9d2dc6af644f5">output_shape</a>, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_c_l_reduction_operation.xhtml#a3bef4921980b682416b129abc8d4b7c8">CLReductionOperation::validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, &amp;output_shape_info, 0, <a class="code" href="namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba6970bdc2201030b9c03fbdcf3973858a">ReductionOperation::SUM</a>);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; }</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keywordflow">else</span></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"> 63</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#aa7d5b2d0fac7c644ec17a1c129f060f1">CLMeanStdDevKernel::validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, mean, <span class="keyword">nullptr</span>, stddev, <span class="keyword">nullptr</span>);</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;}</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_mean_std_dev.xhtml#aa7a32280401c276aed328658046abc4c"> 67</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_mean_std_dev.xhtml#aa7a32280401c276aed328658046abc4c">CLMeanStdDev::configure</a>(<a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLImage</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <span class="keywordtype">float</span> *mean, <span class="keywordtype">float</span> *stddev)</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;{</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="comment">// In the case of F16/F32 we call reduction operation for calculating CLMeanStdDev</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; _data_type = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>-&gt;info()-&gt;data_type();</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute.xhtml#af5982a092e9eb743fce2d6392bdd8897">is_data_type_float</a>(_data_type))</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; {</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; _num_pixels = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>-&gt;info()-&gt;dimension(0) * <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>-&gt;info()-&gt;dimension(1);</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; _memory_group.<a class="code" href="classarm__compute_1_1_memory_group.xhtml#a6fc0a49304c152c20a0f6df0634fb3cd">manage</a>(&amp;_reduction_output_mean);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; _reduction_operation_mean.<a class="code" href="classarm__compute_1_1_c_l_reduction_operation.xhtml#ad73b14f46ecf51b7a0ab79cd0789e6ad">configure</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, &amp;_reduction_output_mean, 0, <a class="code" href="namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba6970bdc2201030b9c03fbdcf3973858a">ReductionOperation::SUM</a>);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; _reduction_output_mean.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a4083de30daebd6bdee6b35d9c8262108">allocator</a>()-&gt;<a class="code" href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">allocate</a>();</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; _mean = mean;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="keywordflow">if</span>(stddev != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; {</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; _memory_group.<a class="code" href="classarm__compute_1_1_memory_group.xhtml#a6fc0a49304c152c20a0f6df0634fb3cd">manage</a>(&amp;_reduction_output_stddev);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; _reduction_operation_stddev.<a class="code" href="classarm__compute_1_1_c_l_reduction_operation.xhtml#ad73b14f46ecf51b7a0ab79cd0789e6ad">configure</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, &amp;_reduction_output_stddev, 0, <a class="code" href="namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba2ce6e134b828b72fad160fa17c8d1b64">ReductionOperation::SUM_SQUARE</a>);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; _reduction_output_stddev.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a4083de30daebd6bdee6b35d9c8262108">allocator</a>()-&gt;<a class="code" href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">allocate</a>();</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; _stddev = stddev;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; _run_stddev = <span class="keyword">true</span>;</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"> 90</span>&#160; <span class="keywordflow">else</span></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; _global_sum = cl::Buffer(<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().context(), CL_MEM_ALLOC_HOST_PTR | CL_MEM_READ_WRITE, <span class="keyword">sizeof</span>(cl_ulong));</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keywordflow">if</span>(stddev != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; {</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; _global_sum_squared = cl::Buffer(<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().context(), CL_MEM_ALLOC_HOST_PTR | CL_MEM_READ_WRITE, <span class="keyword">sizeof</span>(cl_ulong));</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"> 98</span>&#160;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; _mean_stddev_kernel.<a class="code" href="classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a85a25a050f0ff16c3081048085a7d082">configure</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, mean, &amp;_global_sum, stddev, &amp;_global_sum_squared);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; _fill_border_kernel.<a class="code" href="classarm__compute_1_1_c_l_fill_border_kernel.xhtml#ae1b9fe62ed42f469f1de879c33d75c06">configure</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, _mean_stddev_kernel.<a class="code" href="classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>(), <a class="code" href="namespacearm__compute.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a8d6b5cada83510220f59e00ce86d4d92">BorderMode::CONSTANT</a>, <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a>(static_cast&lt;uint8_t&gt;(0)));</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"> 103</span>&#160;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;<span class="keywordtype">void</span> CLMeanStdDev::run_float()</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160;{</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <a class="code" href="classarm__compute_1_1_memory_group_resource_scope.xhtml">MemoryGroupResourceScope</a> scope_mg(_memory_group);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <span class="comment">// Perform reduction on x-axis</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; _reduction_operation_mean.<a class="code" href="classarm__compute_1_1_c_l_reduction_operation.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>();</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="keywordflow">if</span>(_run_stddev)</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; _reduction_operation_stddev.<a class="code" href="classarm__compute_1_1_c_l_reduction_operation.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>();</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; _reduction_output_stddev.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">map</a>(<span class="keyword">true</span>);</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"> 116</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; _reduction_output_mean.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">map</a>(<span class="keyword">true</span>);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="keyword">auto</span> mean = static_cast&lt;T&gt;(0);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="comment">// Calculate final result for mean</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; _reduction_output_mean.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97">dimension</a>(1); ++i)</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"> 124</span>&#160; mean += *reinterpret_cast&lt;T *&gt;(_reduction_output_mean.<a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c">buffer</a>() + _reduction_output_mean.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a7888888b7f18215ae83fd3660d38eccb">offset_element_in_bytes</a>(<a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a>(0, i)));</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;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; mean /= _num_pixels;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; *_mean = mean;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <span class="keywordflow">if</span>(_run_stddev)</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; {</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keyword">auto</span> stddev = static_cast&lt;T&gt;(0);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <span class="comment">// Calculate final result for stddev</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; _reduction_output_stddev.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97">dimension</a>(1); ++i)</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; stddev += *reinterpret_cast&lt;T *&gt;(_reduction_output_stddev.<a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c">buffer</a>() + _reduction_output_stddev.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a7888888b7f18215ae83fd3660d38eccb">offset_element_in_bytes</a>(<a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a>(0, i)));</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; }</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; *_stddev = std::sqrt((stddev / _num_pixels) - (mean * mean));</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; _reduction_output_stddev.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">unmap</a>();</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; _reduction_output_mean.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">unmap</a>();</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160;}</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;<span class="keywordtype">void</span> CLMeanStdDev::run_int()</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;{</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_fill_border_kernel);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_mean_stddev_kernel);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;}</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;</div><div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_mean_std_dev.xhtml#ad1717410afd0be936c6213a63c8005fb"> 151</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_mean_std_dev.xhtml#ad1717410afd0be936c6213a63c8005fb">CLMeanStdDev::run</a>()</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;{</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; <span class="keywordflow">switch</span>(_data_type)</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; {</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>:</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; run_float&lt;half&gt;();</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; run_float&lt;float&gt;();</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>:</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; run_int();</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <span class="keywordflow">default</span>:</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<span class="stringliteral">&quot;Not supported&quot;</span>);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; }</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1_pixel_value_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pixel_value.xhtml">arm_compute::PixelValue</a></div><div class="ttdoc">Class describing the value of a pixel for any image format.</div><div class="ttdef"><b>Definition:</b> <a href="_pixel_value_8h_source.xhtml#l00034">PixelValue.h:34</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_ad45f0c01a0713dfb6bd7232c7f396fc4"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00041">CLTensor.cpp:41</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_mean_std_dev_xhtml_aa0c625593b8ab7d8bd1ba442519e5b36"><div class="ttname"><a href="classarm__compute_1_1_c_l_mean_std_dev.xhtml#aa0c625593b8ab7d8bd1ba442519e5b36">arm_compute::CLMeanStdDev::validate</a></div><div class="ttdeci">static Status validate(ITensorInfo *input, float *mean, float *stddev=nullptr)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLMeanStdDev.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_mean_std_dev_8cpp_source.xhtml#l00049">CLMeanStdDev.cpp:49</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_a9b58d0eb9a2af8e6d7908695e1557d6c"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">arm_compute::CLScheduler::get</a></div><div class="ttdeci">static CLScheduler &amp; get()</div><div class="ttdoc">Access the scheduler singleton.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00099">CLScheduler.cpp:99</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a5827eb9cb394e74af87f74bd354fb45ba2ce6e134b828b72fad160fa17c8d1b64"><div class="ttname"><a href="namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba2ce6e134b828b72fad160fa17c8d1b64">arm_compute::ReductionOperation::SUM_SQUARE</a></div><div class="ttdoc">Sum of squares.</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a></div><div class="ttdoc">1 channel, 1 U8 per channel</div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a8813441b655b97c00139c6a5a6390e97"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97">arm_compute::TensorInfo::dimension</a></div><div class="ttdeci">size_t dimension(size_t index) const override</div><div class="ttdoc">Return the size of the requested dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00232">TensorInfo.h:232</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_mean_std_dev_kernel_xhtml_a85a25a050f0ff16c3081048085a7d082"><div class="ttname"><a href="classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a85a25a050f0ff16c3081048085a7d082">arm_compute::CLMeanStdDevKernel::configure</a></div><div class="ttdeci">void configure(const ICLImage *input, float *mean, cl::Buffer *global_sum, float *stddev=nullptr, cl::Buffer *global_sum_squared=nullptr)</div><div class="ttdoc">Initialise the kernel's input and outputs.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_mean_std_dev_kernel_8cpp_source.xhtml#l00066">CLMeanStdDevKernel.cpp:66</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel</div></div>
<div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00466">Error.h:466</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_tensor_xhtml_a4083de30daebd6bdee6b35d9c8262108"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a4083de30daebd6bdee6b35d9c8262108">arm_compute::CLTensor::allocator</a></div><div class="ttdeci">CLTensorAllocator * allocator()</div><div class="ttdoc">Return a pointer to the tensor's allocator.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00061">CLTensor.cpp:61</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="_tensor_info_8h_xhtml"><div class="ttname"><a href="_tensor_info_8h.xhtml">TensorInfo.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_fill_border_kernel_xhtml_ae1b9fe62ed42f469f1de879c33d75c06"><div class="ttname"><a href="classarm__compute_1_1_c_l_fill_border_kernel.xhtml#ae1b9fe62ed42f469f1de879c33d75c06">arm_compute::CLFillBorderKernel::configure</a></div><div class="ttdeci">void configure(ICLTensor *tensor, BorderSize border_size, BorderMode border_mode, const PixelValue &amp;constant_border_value=PixelValue())</div><div class="ttdoc">Initialise the kernel's input, output and border mode.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_fill_border_kernel_8cpp_source.xhtml#l00062">CLFillBorderKernel.cpp:62</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="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 F16 per channel</div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a14c53d2d17be6fa8a2c9861527c7b002"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">arm_compute::CLTensor::map</a></div><div class="ttdeci">void map(bool blocking=true)</div><div class="ttdoc">Enqueue a map operation of the allocated buffer.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00066">CLTensor.cpp:66</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a8fcf2ddd9a1d58b1b280f5c0aed71845"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">arm_compute::test::validation::input</a></div><div class="ttdeci">auto input</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">LSTMLayerQuantized.cpp:487</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_l_tensor_xhtml_a24954cca5108a24706441fd99a7fb04c"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c">arm_compute::ICLTensor::buffer</a></div><div class="ttdeci">uint8_t * buffer() const override</div><div class="ttdoc">Interface to be implemented by the child class to return a pointer to CPU memory.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_tensor_8cpp_source.xhtml#l00053">ICLTensor.cpp:53</a></div></div>
<div class="ttc" id="classarm__compute_1_1_memory_group_xhtml_a6fc0a49304c152c20a0f6df0634fb3cd"><div class="ttname"><a href="classarm__compute_1_1_memory_group.xhtml#a6fc0a49304c152c20a0f6df0634fb3cd">arm_compute::MemoryGroup::manage</a></div><div class="ttdeci">void manage(IMemoryManageable *obj) override</div><div class="ttdoc">Sets a object to be managed by the given memory group.</div><div class="ttdef"><b>Definition:</b> <a href="_memory_group_8h_source.xhtml#l00079">MemoryGroup.h:79</a></div></div>
<div class="ttc" id="_c_l_scheduler_8h_xhtml"><div class="ttname"><a href="_c_l_scheduler_8h.xhtml">CLScheduler.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a5827eb9cb394e74af87f74bd354fb45ba6970bdc2201030b9c03fbdcf3973858a"><div class="ttname"><a href="namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba6970bdc2201030b9c03fbdcf3973858a">arm_compute::ReductionOperation::SUM</a></div><div class="ttdoc">Sum.</div></div>
<div class="ttc" id="_validate_8h_xhtml_ac8fa80a763f5e67ded3fe6385972c08a"><div class="ttname"><a href="_validate_8h.xhtml#ac8fa80a763f5e67ded3fe6385972c08a">ARM_COMPUTE_RETURN_ERROR_ON_TENSOR_NOT_2D</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_TENSOR_NOT_2D(t)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00858">Validate.h:858</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_mean_std_dev_xhtml_af155271d025ec7128806cb06f2e784a3"><div class="ttname"><a href="classarm__compute_1_1_c_l_mean_std_dev.xhtml#af155271d025ec7128806cb06f2e784a3">arm_compute::CLMeanStdDev::CLMeanStdDev</a></div><div class="ttdeci">CLMeanStdDev(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)</div><div class="ttdoc">Default Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_mean_std_dev_8cpp_source.xhtml#l00031">CLMeanStdDev.cpp:31</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_mean_std_dev_kernel_xhtml_aa7d5b2d0fac7c644ec17a1c129f060f1"><div class="ttname"><a href="classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#aa7d5b2d0fac7c644ec17a1c129f060f1">arm_compute::CLMeanStdDevKernel::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, float *mean, cl::Buffer *global_sum, float *stddev=nullptr, cl::Buffer *global_sum_squared=nullptr)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLMeanStdDevKernel.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_mean_std_dev_kernel_8cpp_source.xhtml#l00053">CLMeanStdDevKernel.cpp:53</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_reduction_operation_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_c_l_reduction_operation.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::CLReductionOperation::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_reduction_operation_8cpp_source.xhtml#l00354">CLReductionOperation.cpp:354</a></div></div>
<div class="ttc" id="classarm__compute_1_1_coordinates_xhtml"><div class="ttname"><a href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a></div><div class="ttdoc">Coordinates of an item.</div><div class="ttdef"><b>Definition:</b> <a href="_coordinates_8h_source.xhtml#l00037">Coordinates.h:37</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_mean_std_dev_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_c_l_mean_std_dev.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::CLMeanStdDev::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_mean_std_dev_8cpp_source.xhtml#l00151">CLMeanStdDev.cpp:151</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_reduction_operation_xhtml_a3bef4921980b682416b129abc8d4b7c8"><div class="ttname"><a href="classarm__compute_1_1_c_l_reduction_operation.xhtml#a3bef4921980b682416b129abc8d4b7c8">arm_compute::CLReductionOperation::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *output, unsigned int axis, ReductionOperation op, bool keep_dims=true)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLReductionOperation.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_reduction_operation_8cpp_source.xhtml#l00047">CLReductionOperation.cpp:47</a></div></div>
<div class="ttc" id="_c_l_mean_std_dev_8h_xhtml"><div class="ttname"><a href="_c_l_mean_std_dev_8h.xhtml">CLMeanStdDev.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_ae1a643e517f50bf0392fb6516dd7cf67"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">arm_compute::CLScheduler::enqueue</a></div><div class="ttdeci">void enqueue(ICLKernel &amp;kernel, bool flush=true)</div><div class="ttdoc">Schedule the execution of the passed kernel if possible.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00154">CLScheduler.cpp:154</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_mean_std_dev_xhtml_aa7a32280401c276aed328658046abc4c"><div class="ttname"><a href="classarm__compute_1_1_c_l_mean_std_dev.xhtml#aa7a32280401c276aed328658046abc4c">arm_compute::CLMeanStdDev::configure</a></div><div class="ttdeci">void configure(ICLImage *input, float *mean, float *stddev=nullptr)</div><div class="ttdoc">Initialise the kernel's inputs and outputs.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_mean_std_dev_8cpp_source.xhtml#l00067">CLMeanStdDev.cpp:67</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_allocator_xhtml_a6e509c2a177b0b29e9e2369535094dee"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">arm_compute::CLTensorAllocator::allocate</a></div><div class="ttdeci">void allocate() override</div><div class="ttdoc">Allocate size specified by TensorInfo of OpenCL memory.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_allocator_8cpp_source.xhtml#l00127">CLTensorAllocator.cpp:127</a></div></div>
<div class="ttc" id="classarm__compute_1_1_memory_group_resource_scope_xhtml"><div class="ttname"><a href="classarm__compute_1_1_memory_group_resource_scope.xhtml">arm_compute::MemoryGroupResourceScope</a></div><div class="ttdoc">Memory group resources scope handling class.</div><div class="ttdef"><b>Definition:</b> <a href="_i_memory_group_8h_source.xhtml#l00082">IMemoryGroup.h:82</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="namespacearm__compute_xhtml_a14d24d90ab4ba2956e92e27890ba4c91a8d6b5cada83510220f59e00ce86d4d92"><div class="ttname"><a href="namespacearm__compute.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a8d6b5cada83510220f59e00ce86d4d92">arm_compute::PaddingMode::CONSTANT</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a7888888b7f18215ae83fd3660d38eccb"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a7888888b7f18215ae83fd3660d38eccb">arm_compute::TensorInfo::offset_element_in_bytes</a></div><div class="ttdeci">int32_t offset_element_in_bytes(const Coordinates &amp;pos) const override</div><div class="ttdoc">The offset in bytes from the beginning of the memory allocation to access the element at position (x,...</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_tensor_info_8cpp_source.xhtml#l00394">TensorInfo.cpp:394</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ab1806bf0c5a41f674fb9d2dc6af644f5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ab1806bf0c5a41f674fb9d2dc6af644f5">arm_compute::test::validation::output_shape</a></div><div class="ttdeci">output_shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">ConvolutionLayer.cpp:182</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_mean_std_dev_kernel_xhtml_a423f9a45a52983b4de5e2b347f4369c7"><div class="ttname"><a href="classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">arm_compute::CLMeanStdDevKernel::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 class="ttdef"><b>Definition:</b> <a href="_c_l_mean_std_dev_kernel_8cpp_source.xhtml#l00048">CLMeanStdDevKernel.cpp:48</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00045">TensorInfo.h:45</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_reduction_operation_xhtml_ad73b14f46ecf51b7a0ab79cd0789e6ad"><div class="ttname"><a href="classarm__compute_1_1_c_l_reduction_operation.xhtml#ad73b14f46ecf51b7a0ab79cd0789e6ad">arm_compute::CLReductionOperation::configure</a></div><div class="ttdeci">void configure(ICLTensor *input, ICLTensor *output, unsigned int axis, ReductionOperation op, bool keep_dims=true)</div><div class="ttdoc">Set the input and output tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_reduction_operation_8cpp_source.xhtml#l00192">CLReductionOperation.cpp:192</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a1ffeb3b5abb3d61f62b58a391816201c"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">arm_compute::CLTensor::unmap</a></div><div class="ttdeci">void unmap()</div><div class="ttdoc">Enqueue an unmap operation of the allocated and mapped buffer.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00071">CLTensor.cpp:71</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_af5982a092e9eb743fce2d6392bdd8897"><div class="ttname"><a href="namespacearm__compute.xhtml#af5982a092e9eb743fce2d6392bdd8897">arm_compute::is_data_type_float</a></div><div class="ttdeci">bool is_data_type_float(DataType dt)</div><div class="ttdoc">Check if a given data type is of floating point type.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l01097">Utils.h:1097</a></div></div>
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