arm_compute v18.02

[platform/upstream/armcl.git] / documentation / _alex_net_convolution_layer_dataset_8h_source.xhtml

diff --git a/documentation/_alex_net_convolution_layer_dataset_8h_source.xhtml b/documentation/_alex_net_convolution_layer_dataset_8h_source.xhtml
index ff2080f..7429457 100644 (file)
--- a/documentation/_alex_net_convolution_layer_dataset_8h_source.xhtml
+++ b/documentation/_alex_net_convolution_layer_dataset_8h_source.xhtml
@@ -40,7 +40,7 @@
  <tr style="height: 56px;">
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    <div id="projectname">Compute Library
-   &#160;<span id="projectnumber">18.01</span>
+   &#160;<span id="projectnumber">18.02</span>
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@@ -118,7 +118,7 @@ $(document).ready(function(){initNavTree('_alex_net_convolution_layer_dataset_8h
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 <a href="_alex_net_convolution_layer_dataset_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#ifndef ARM_COMPUTE_TEST_ALEXNET_CONVOLUTION_LAYER_DATASET</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#define ARM_COMPUTE_TEST_ALEXNET_CONVOLUTION_LAYER_DATASET</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_convolution_layer_dataset_8h.xhtml">tests/datasets/ConvolutionLayerDataset.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="preprocessor">#include &quot;<a class="code" href="_type_printer_8h.xhtml">utils/TypePrinter.h</a>&quot;</span></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">   31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></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><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></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="keyword">namespace </span>test</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="keyword">namespace </span>datasets</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"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_winograd_layer_dataset.xhtml">   40</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_winograd_layer_dataset.xhtml">AlexNetWinogradLayerDataset</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml">ConvolutionLayerDataset</a></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="keyword">public</span>:</div><div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_winograd_layer_dataset.xhtml#a8b6407c4ce8013ec3ab310e1fdf51710">   43</a></span>&#160; 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       <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 192<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 192<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 128<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(128<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 128<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>(1, 1, 1, 1));</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;};</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;} <span class="comment">// namespace datasets</span></div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_TEST_ALEXNET_CONVOLUTION_LAYER_DATASET */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_alex_net_winograd_layer_dataset_xhtml_a8b6407c4ce8013ec3ab310e1fdf51710"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_winograd_layer_dataset.xhtml#a8b6407c4ce8013ec3ab310e1fdf51710">arm_compute::test::datasets::AlexNetWinogradLayerDataset::AlexNetWinogradLayerDataset</a></div><div class="ttdeci">AlexNetWinogradLayerDataset()</div><div class="ttdef"><b>Definition:</b> <a href="_alex_net_convolution_layer_dataset_8h_source.xhtml#l00043">AlexNetConvolutionLayerDataset.h:43</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#l00038">TensorShape.h:38</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_1test_1_1datasets_1_1_convolution_layer_dataset_xhtml_a3f1ddb8fe464be68a02cc1b81ee5e3e7"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">arm_compute::test::datasets::ConvolutionLayerDataset::add_config</a></div><div class="ttdeci">void add_config(TensorShape src, TensorShape weights, TensorShape biases, TensorShape dst, PadStrideInfo info)</div><div class="ttdef"><b>Definition:</b> <a href="_convolution_layer_dataset_8h_source.xhtml#l00103">ConvolutionLayerDataset.h:103</a></div></div>
 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_alex_net_convolution_layer_dataset_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_convolution_layer_dataset.xhtml">arm_compute::test::datasets::AlexNetConvolutionLayerDataset</a></div><div class="ttdef"><b>Definition:</b> <a href="_alex_net_convolution_layer_dataset_8h_source.xhtml#l00051">AlexNetConvolutionLayerDataset.h:51</a></div></div>
 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_alex_net_convolution_layer_dataset_xhtml_ac432b94801358a44d8646896fd663172"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_convolution_layer_dataset.xhtml#ac432b94801358a44d8646896fd663172">arm_compute::test::datasets::AlexNetConvolutionLayerDataset::AlexNetConvolutionLayerDataset</a></div><div class="ttdeci">AlexNetConvolutionLayerDataset()</div><div class="ttdef"><b>Definition:</b> <a href="_alex_net_convolution_layer_dataset_8h_source.xhtml#l00054">AlexNetConvolutionLayerDataset.h:54</a></div></div>
@@ -126,7 +126,7 @@ $(document).ready(function(){initNavTree('_alex_net_convolution_layer_dataset_8h
 <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="01__library_8dox_source.xhtml#l00001">01_library.dox:1</a></div></div>
 <div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::Channel::U</a></div><div class="ttdoc">Cb/U channel. </div></div>
 <div class="ttc" id="_type_printer_8h_xhtml"><div class="ttname"><a href="_type_printer_8h.xhtml">TypePrinter.h</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml">arm_compute::PadStrideInfo</a></div><div class="ttdoc">Padding and stride information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00468">Types.h:468</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml">arm_compute::PadStrideInfo</a></div><div class="ttdoc">Padding and stride information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00491">Types.h:491</a></div></div>
 <div class="ttc" id="_convolution_layer_dataset_8h_xhtml"><div class="ttname"><a href="_convolution_layer_dataset_8h.xhtml">ConvolutionLayerDataset.h</a></div></div>
 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_alex_net_direct_convolution_layer_dataset_xhtml_afdcf050b66d2142b068ced09e16d8bb6"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_direct_convolution_layer_dataset.xhtml#afdcf050b66d2142b068ced09e16d8bb6">arm_compute::test::datasets::AlexNetDirectConvolutionLayerDataset::AlexNetDirectConvolutionLayerDataset</a></div><div class="ttdeci">AlexNetDirectConvolutionLayerDataset()</div><div class="ttdef"><b>Definition:</b> <a href="_alex_net_convolution_layer_dataset_8h_source.xhtml#l00067">AlexNetConvolutionLayerDataset.h:67</a></div></div>
 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_alex_net_direct_convolution_layer_dataset_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_direct_convolution_layer_dataset.xhtml">arm_compute::test::datasets::AlexNetDirectConvolutionLayerDataset</a></div><div class="ttdef"><b>Definition:</b> <a href="_alex_net_convolution_layer_dataset_8h_source.xhtml#l00064">AlexNetConvolutionLayerDataset.h:64</a></div></div>
@@ -139,7 +139,7 @@ $(document).ready(function(){initNavTree('_alex_net_convolution_layer_dataset_8h
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     <li class="navelem"><a class="el" href="dir_59425e443f801f1f2fd8bbe4959a3ccf.xhtml">tests</a></li><li class="navelem"><a class="el" href="dir_e13277e8d7d14f3f15e64267bfca6477.xhtml">datasets</a></li><li class="navelem"><a class="el" href="dir_c71057a74ea67172e112f0f837c986c4.xhtml">system_tests</a></li><li class="navelem"><a class="el" href="dir_fe2ff4e257164425054f45a496f66ada.xhtml">alexnet</a></li><li class="navelem"><a class="el" href="_alex_net_convolution_layer_dataset_8h.xhtml">AlexNetConvolutionLayerDataset.h</a></li>
-    <li class="footer">Generated on Wed Jan 24 2018 14:30:41 for Compute Library by
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