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<div class="title">NELaplacianReconstruct.cpp</div> </div>
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<a href="_n_e_laplacian_reconstruct_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="_n_e_laplacian_reconstruct_8h.xhtml">arm_compute/runtime/NEON/functions/NELaplacianReconstruct.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="_error_8h.xhtml">arm_compute/core/Error.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="_i_pyramid_8h.xhtml">arm_compute/core/IPyramid.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_tensor_8h.xhtml">arm_compute/core/ITensor.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</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="l00030"></a><span class="lineno"> 30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_validate_8h.xhtml">arm_compute/core/Validate.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</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="l00032"></a><span class="lineno"> 32</span>&#160;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="preprocessor">#include &lt;cstddef&gt;</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a>;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#a1490de9008819d066ff78159afb03fe0"> 37</a></span>&#160;<a class="code" href="classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#a1490de9008819d066ff78159afb03fe0">NELaplacianReconstruct::NELaplacianReconstruct</a>() <span class="comment">// NOLINT</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; : _tmp_pyr(),</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; _addf(),</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; _scalef(),</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; _depthf()</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;{</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;</div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#ae29fe7b87d0a15745423fa3e3301adae"> 45</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#ae29fe7b87d0a15745423fa3e3301adae">NELaplacianReconstruct::configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_pyramid.xhtml">IPyramid</a> *pyramid, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a>, uint8_t constant_border_value)</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; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<span class="keyword">nullptr</span> == pyramid);</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input == output);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <a class="code" href="_validate_8h.xhtml#aadf5c9cff86327b96d88d04649d9715e">ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>(input, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>);</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <a class="code" href="_validate_8h.xhtml#aadf5c9cff86327b96d88d04649d9715e">ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>(output, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">num_dimensions</a>() != pyramid-&gt;<a class="code" href="classarm__compute_1_1_i_pyramid.xhtml#a11ab83492962adab883cb1d0fbdd7af6">get_pyramid_level</a>(0)-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">num_dimensions</a>());</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">num_dimensions</a>() != pyramid-&gt;<a class="code" href="classarm__compute_1_1_i_pyramid.xhtml#a11ab83492962adab883cb1d0fbdd7af6">get_pyramid_level</a>(0)-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">num_dimensions</a>());</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(0) != pyramid-&gt;<a class="code" href="classarm__compute_1_1_i_pyramid.xhtml#a11ab83492962adab883cb1d0fbdd7af6">get_pyramid_level</a>(0)-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(0));</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1) != pyramid-&gt;<a class="code" href="classarm__compute_1_1_i_pyramid.xhtml#a11ab83492962adab883cb1d0fbdd7af6">get_pyramid_level</a>(0)-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1));</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(0) != pyramid-&gt;<a class="code" href="classarm__compute_1_1_i_pyramid.xhtml#a11ab83492962adab883cb1d0fbdd7af6">get_pyramid_level</a>(pyramid-&gt;<a class="code" href="classarm__compute_1_1_i_pyramid.xhtml#a7114241d28b1d2ebb7b9dba9f1ab0c8b">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">num_levels</a>() - 1)-&gt;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>()-&gt;dimension(0));</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1) != pyramid-&gt;<a class="code" href="classarm__compute_1_1_i_pyramid.xhtml#a11ab83492962adab883cb1d0fbdd7af6">get_pyramid_level</a>(pyramid-&gt;<a class="code" href="classarm__compute_1_1_i_pyramid.xhtml#a7114241d28b1d2ebb7b9dba9f1ab0c8b">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">num_levels</a>() - 1)-&gt;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>()-&gt;dimension(1));</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_levels = pyramid-&gt;<a class="code" href="classarm__compute_1_1_i_pyramid.xhtml#a7114241d28b1d2ebb7b9dba9f1ab0c8b">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">num_levels</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="comment">// Create and initialize the tmp pyramid: I(n-2) = upsample( input + Laplace(n-1) )</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml">PyramidInfo</a> pyramid_info;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; pyramid_info.<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a741486bedb7b0966b1d4e6e7c6cccf60">init</a>(num_levels, 0.5f, output-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>(), <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::Format::S16</a>);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; _tmp_pyr.<a class="code" href="classarm__compute_1_1_pyramid.xhtml#ae4e11cca76492d63009564d1ea466dff">init</a>(pyramid_info);</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; <span class="comment">// Allocate add and scale functions. Level 0 does not need to be scaled.</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; _addf.resize(num_levels);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; _scalef.resize(num_levels - 1);</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; <span class="keyword">const</span> <span class="keywordtype">size_t</span> last_level = num_levels - 1;</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; _addf[last_level].configure(input, pyramid-&gt;<a class="code" href="classarm__compute_1_1_i_pyramid.xhtml#a11ab83492962adab883cb1d0fbdd7af6">get_pyramid_level</a>(last_level), _tmp_pyr.<a class="code" href="classarm__compute_1_1_pyramid.xhtml#a62c986dcfc8a16c2fbdc8bf33c77a7b3">get_pyramid_level</a>(last_level), <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6fa4729d95f983955f0d93a30179deb2b86">ConvertPolicy::SATURATE</a>);</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; <span class="comment">// Scale levels n-1 to 1, and add levels n-2 to 0</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> l = 0; l &lt; last_level; ++l)</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"> 77</span>&#160; _scalef[l].configure(_tmp_pyr.<a class="code" href="classarm__compute_1_1_pyramid.xhtml#a62c986dcfc8a16c2fbdc8bf33c77a7b3">get_pyramid_level</a>(l + 1), _tmp_pyr.<a class="code" href="classarm__compute_1_1_pyramid.xhtml#a62c986dcfc8a16c2fbdc8bf33c77a7b3">get_pyramid_level</a>(l), <a class="code" href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9a7f5ccbc3d30c2cd3fd04d567946cbde2">arm_compute::InterpolationPolicy::NEAREST_NEIGHBOR</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a>, constant_border_value);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; _addf[l].configure(_tmp_pyr.<a class="code" href="classarm__compute_1_1_pyramid.xhtml#a62c986dcfc8a16c2fbdc8bf33c77a7b3">get_pyramid_level</a>(l), pyramid-&gt;<a class="code" href="classarm__compute_1_1_i_pyramid.xhtml#a11ab83492962adab883cb1d0fbdd7af6">get_pyramid_level</a>(l), _tmp_pyr.<a class="code" href="classarm__compute_1_1_pyramid.xhtml#a62c986dcfc8a16c2fbdc8bf33c77a7b3">get_pyramid_level</a>(l), <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6fa4729d95f983955f0d93a30179deb2b86">ConvertPolicy::SATURATE</a>);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; }</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="comment">// Convert level 0 from S16 to U8</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; _depthf.<a class="code" href="classarm__compute_1_1_n_e_depth_convert_layer.xhtml#a6c194a42a8dd821d34a6166b5f61a7f6">configure</a>(_tmp_pyr.<a class="code" href="classarm__compute_1_1_pyramid.xhtml#a62c986dcfc8a16c2fbdc8bf33c77a7b3">get_pyramid_level</a>(0), output, <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6fa4729d95f983955f0d93a30179deb2b86">ConvertPolicy::SATURATE</a>, 0);</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; _tmp_pyr.<a class="code" href="classarm__compute_1_1_pyramid.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">allocate</a>();</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;}</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"><a class="line" href="classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#ad1717410afd0be936c6213a63c8005fb"> 87</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#ad1717410afd0be936c6213a63c8005fb">NELaplacianReconstruct::run</a>()</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; <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(_addf.empty(), <span class="stringliteral">&quot;Unconfigured function&quot;</span>);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> last_level = _tmp_pyr.<a class="code" href="classarm__compute_1_1_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">num_levels</a>() - 1;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; _addf[last_level].run();</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="comment">// Run l = [last_level - 1, 0]</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> l = last_level; l-- &gt; 0;)</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; _scalef[l].run();</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; _addf[l].run();</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; }</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; _depthf.<a class="code" href="classarm__compute_1_1_i_n_e_simple_function_no_border.xhtml#a92fe532c342ae2b07956a65520c05362">run</a>();</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;}</div><div class="ttc" id="namespacearm__compute_xhtml_a15a05537a472ee742404821851529327"><div class="ttname"><a href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">arm_compute::BorderMode</a></div><div class="ttdeci">BorderMode</div><div class="ttdoc">Methods available to handle borders.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00251">Types.h:251</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a1f4e725b8e1ea36b30e09dc08ae6961d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">arm_compute::ITensorInfo::num_dimensions</a></div><div class="ttdeci">virtual size_t num_dimensions() const =0</div><div class="ttdoc">The number of dimensions of the tensor (rank)</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="classarm__compute_1_1_i_pyramid_xhtml_a7114241d28b1d2ebb7b9dba9f1ab0c8b"><div class="ttname"><a href="classarm__compute_1_1_i_pyramid.xhtml#a7114241d28b1d2ebb7b9dba9f1ab0c8b">arm_compute::IPyramid::info</a></div><div class="ttdeci">virtual const PyramidInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the Pyramid's metadata.</div></div>
<div class="ttc" id="classarm__compute_1_1_i_n_e_simple_function_no_border_xhtml_a92fe532c342ae2b07956a65520c05362"><div class="ttname"><a href="classarm__compute_1_1_i_n_e_simple_function_no_border.xhtml#a92fe532c342ae2b07956a65520c05362">arm_compute::INESimpleFunctionNoBorder::run</a></div><div class="ttdeci">void run() override final</div><div class="ttdoc">Run the kernels contained in the function.</div><div class="ttdef"><b>Definition:</b> <a href="_i_n_e_simple_function_no_border_8cpp_source.xhtml#l00035">INESimpleFunctionNoBorder.cpp:35</a></div></div>
<div class="ttc" id="_i_tensor_8h_xhtml"><div class="ttname"><a href="_i_tensor_8h.xhtml">ITensor.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a178f0d3d87f959e00a743328d95359d2"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">arm_compute::ITensorInfo::dimension</a></div><div class="ttdeci">virtual size_t dimension(size_t index) const =0</div><div class="ttdoc">Return the size of the requested dimension.</div></div>
<div class="ttc" id="classarm__compute_1_1_pyramid_xhtml_a62c986dcfc8a16c2fbdc8bf33c77a7b3"><div class="ttname"><a href="classarm__compute_1_1_pyramid.xhtml#a62c986dcfc8a16c2fbdc8bf33c77a7b3">arm_compute::Pyramid::get_pyramid_level</a></div><div class="ttdeci">Tensor * get_pyramid_level(size_t index) const override</div><div class="ttdoc">Retrieves a level of the pyramid as a ITensor pointer.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_8cpp_source.xhtml#l00113">Pyramid.cpp:113</a></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_pyramid_info_xhtml_a741486bedb7b0966b1d4e6e7c6cccf60"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#a741486bedb7b0966b1d4e6e7c6cccf60">arm_compute::PyramidInfo::init</a></div><div class="ttdeci">void init(size_t num_levels, float scale, size_t width, size_t height, Format format)</div><div class="ttdoc">Initialize pyramid's metadata for 2D tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_info_8cpp_source.xhtml#l00050">PyramidInfo.cpp:50</a></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#l00337">Error.h:337</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a966a9c417ce5e94dca08d9b5e745c0c9a7f5ccbc3d30c2cd3fd04d567946cbde2"><div class="ttname"><a href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9a7f5ccbc3d30c2cd3fd04d567946cbde2">arm_compute::InterpolationPolicy::NEAREST_NEIGHBOR</a></div><div class="ttdoc">Output values are defined to match the source pixel whose center is nearest to the sample position.</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_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div>
<div class="ttc" id="_n_e_laplacian_reconstruct_8h_xhtml"><div class="ttname"><a href="_n_e_laplacian_reconstruct_8h.xhtml">NELaplacianReconstruct.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2018 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a5471e46933e7a9c4709972d91fc4ea65"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">arm_compute::test::validation::border_mode</a></div><div class="ttdeci">border_mode</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_8cpp_source.xhtml#l00118">Convolution.cpp:118</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_pyramid_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_pyramid.xhtml">arm_compute::IPyramid</a></div><div class="ttdoc">Interface for pyramid data-object.</div><div class="ttdef"><b>Definition:</b> <a href="_i_pyramid_8h_source.xhtml#l00036">IPyramid.h:36</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_pyramid_xhtml_a11ab83492962adab883cb1d0fbdd7af6"><div class="ttname"><a href="classarm__compute_1_1_i_pyramid.xhtml#a11ab83492962adab883cb1d0fbdd7af6">arm_compute::IPyramid::get_pyramid_level</a></div><div class="ttdeci">virtual ITensor * get_pyramid_level(size_t index) const =0</div><div class="ttdoc">Retrieves a level of the pyramid as a ITensor pointer.</div></div>
<div class="ttc" id="_i_pyramid_8h_xhtml"><div class="ttname"><a href="_i_pyramid_8h.xhtml">IPyramid.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7c66505457d00ece3aa4b34cab80757d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">arm_compute::ITensorInfo::tensor_shape</a></div><div class="ttdeci">virtual const TensorShape &amp; tensor_shape() const =0</div><div class="ttdoc">Size for each dimension of the tensor.</div></div>
<div class="ttc" id="classarm__compute_1_1_pyramid_xhtml_ae4e11cca76492d63009564d1ea466dff"><div class="ttname"><a href="classarm__compute_1_1_pyramid.xhtml#ae4e11cca76492d63009564d1ea466dff">arm_compute::Pyramid::init</a></div><div class="ttdeci">void init(const PyramidInfo &amp;info)</div><div class="ttdoc">Initialize pyramid data-object using the given Pyramid's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_8cpp_source.xhtml#l00036">Pyramid.cpp:36</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_laplacian_reconstruct_xhtml_ae29fe7b87d0a15745423fa3e3301adae"><div class="ttname"><a href="classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#ae29fe7b87d0a15745423fa3e3301adae">arm_compute::NELaplacianReconstruct::configure</a></div><div class="ttdeci">void configure(const IPyramid *pyramid, ITensor *input, ITensor *output, BorderMode border_mode, uint8_t constant_border_value)</div><div class="ttdoc">Initialise the function's source, destinations and border mode.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_laplacian_reconstruct_8cpp_source.xhtml#l00045">NELaplacianReconstruct.cpp:45</a></div></div>
<div class="ttc" id="_error_8h_xhtml"><div class="ttname"><a href="_error_8h.xhtml">Error.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pyramid_xhtml_acaefe811b78a2fdc4a0dba0c4029c3ef"><div class="ttname"><a href="classarm__compute_1_1_pyramid.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">arm_compute::Pyramid::allocate</a></div><div class="ttdeci">void allocate()</div><div class="ttdoc">Allocate the planes in the pyramid.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_8cpp_source.xhtml#l00100">Pyramid.cpp:100</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pyramid_xhtml_a7e9f724340af5b795b21a00d35eeb28e"><div class="ttname"><a href="classarm__compute_1_1_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">arm_compute::Pyramid::info</a></div><div class="ttdeci">const PyramidInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the Pyramid's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_8cpp_source.xhtml#l00108">Pyramid.cpp:108</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::Format::S16</a></div><div class="ttdoc">1 channel, 1 S16 per channel</div></div>
<div class="ttc" id="_validate_8h_xhtml_aadf5c9cff86327b96d88d04649d9715e"><div class="ttname"><a href="_validate_8h.xhtml#aadf5c9cff86327b96d88d04649d9715e">ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c,...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00789">Validate.h:789</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pyramid_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml">arm_compute::PyramidInfo</a></div><div class="ttdoc">Store the Pyramid's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_info_8h_source.xhtml#l00035">PyramidInfo.h:35</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_depth_convert_layer_xhtml_a6c194a42a8dd821d34a6166b5f61a7f6"><div class="ttname"><a href="classarm__compute_1_1_n_e_depth_convert_layer.xhtml#a6c194a42a8dd821d34a6166b5f61a7f6">arm_compute::NEDepthConvertLayer::configure</a></div><div class="ttdeci">void configure(const ITensor *input, ITensor *output, ConvertPolicy policy, uint32_t shift=0)</div><div class="ttdoc">Initialize the function's source, destination.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_depth_convert_layer_8cpp_source.xhtml#l00033">NEDepthConvertLayer.cpp:33</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pyramid_info_xhtml_aa2fea6640d2bd5de24d0e0c2433faab6"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">arm_compute::PyramidInfo::num_levels</a></div><div class="ttdeci">size_t num_levels() const</div><div class="ttdoc">Return the number of the pyramid levels.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_info_8cpp_source.xhtml#l00077">PyramidInfo.cpp:77</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_laplacian_reconstruct_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::NELaplacianReconstruct::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="_n_e_laplacian_reconstruct_8cpp_source.xhtml#l00087">NELaplacianReconstruct.cpp:87</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a82b8ac759c804bc1fb4e2d21e178fb6fa4729d95f983955f0d93a30179deb2b86"><div class="ttname"><a href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6fa4729d95f983955f0d93a30179deb2b86">arm_compute::ConvertPolicy::SATURATE</a></div><div class="ttdoc">Saturate.</div></div>
<div class="ttc" id="_validate_8h_xhtml"><div class="ttname"><a href="_validate_8h.xhtml">Validate.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_laplacian_reconstruct_xhtml_a1490de9008819d066ff78159afb03fe0"><div class="ttname"><a href="classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#a1490de9008819d066ff78159afb03fe0">arm_compute::NELaplacianReconstruct::NELaplacianReconstruct</a></div><div class="ttdeci">NELaplacianReconstruct()</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_laplacian_reconstruct_8cpp_source.xhtml#l00037">NELaplacianReconstruct.cpp:37</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond,...)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00328">Error.h:328</a></div></div>
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