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 115   <div class="summary">
 116 <a href="#define-members">Macros</a> &#124;
 117 <a href="#func-members">Functions</a> &#124;
 118 <a href="#var-members">Variables</a>  </div>
 119   <div class="headertitle">
 120 <div class="title">cl_convolution.cpp File Reference</div>  </div>
 121 </div><!--header-->
 122 <div class="contents">
 123 <div class="textblock"><code>#include &quot;<a class="el" href="_types_8h_source.xhtml">arm_compute/core/Types.h</a>&quot;</code><br />
 124 <code>#include &quot;<a class="el" href="_c_l_functions_8h_source.xhtml">arm_compute/runtime/CL/CLFunctions.h</a>&quot;</code><br />
 125 <code>#include &quot;<a class="el" href="_c_l_scheduler_8h_source.xhtml">arm_compute/runtime/CL/CLScheduler.h</a>&quot;</code><br />
 126 <code>#include &quot;<a class="el" href="test__helpers_2_utils_8h_source.xhtml">test_helpers/Utils.h</a>&quot;</code><br />
 127 </div>
 128 <p><a href="cl__convolution_8cpp_source.xhtml">Go to the source code of this file.</a></p>
 129 <table class="memberdecls">
 130 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="define-members"></a>
 131 Macros</h2></td></tr>
 132 <tr class="memitem:a9915340d2c3c10c51e07994dde353f01"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="cl__convolution_8cpp.xhtml#a9915340d2c3c10c51e07994dde353f01">ARM_COMPUTE_CL</a>&#160;&#160;&#160;/* So that OpenCL exceptions get caught too */</td></tr>
 133 <tr class="separator:a9915340d2c3c10c51e07994dde353f01"><td class="memSeparator" colspan="2">&#160;</td></tr>
 134 </table><table class="memberdecls">
 135 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
 136 Functions</h2></td></tr>
 137 <tr class="memitem:a63683d6451d68be4415ea2a694b350e7"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="cl__convolution_8cpp.xhtml#a63683d6451d68be4415ea2a694b350e7">main_cl_convolution</a> (int argc, const char **argv)</td></tr>
 138 <tr class="separator:a63683d6451d68be4415ea2a694b350e7"><td class="memSeparator" colspan="2">&#160;</td></tr>
 139 <tr class="memitem:a217dbf8b442f20279ea00b898af96f52"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="cl__convolution_8cpp.xhtml#a217dbf8b442f20279ea00b898af96f52">main</a> (int argc, const char **argv)</td></tr>
 140 <tr class="memdesc:a217dbf8b442f20279ea00b898af96f52"><td class="mdescLeft">&#160;</td><td class="mdescRight">Main program for convolution test.  <a href="#a217dbf8b442f20279ea00b898af96f52">More...</a><br /></td></tr>
 141 <tr class="separator:a217dbf8b442f20279ea00b898af96f52"><td class="memSeparator" colspan="2">&#160;</td></tr>
 142 </table><table class="memberdecls">
 143 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="var-members"></a>
 144 Variables</h2></td></tr>
 145 <tr class="memitem:a741ba5321da40184f8653e0a50ace070"><td class="memItemLeft" align="right" valign="top">const int16_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="cl__convolution_8cpp.xhtml#a741ba5321da40184f8653e0a50ace070">gaussian3x3</a> []</td></tr>
 146 <tr class="memdesc:a741ba5321da40184f8653e0a50ace070"><td class="mdescLeft">&#160;</td><td class="mdescRight">Gaussian 3x3 matrix.  <a href="#a741ba5321da40184f8653e0a50ace070">More...</a><br /></td></tr>
 147 <tr class="separator:a741ba5321da40184f8653e0a50ace070"><td class="memSeparator" colspan="2">&#160;</td></tr>
 148 <tr class="memitem:a565013cf7e49a591bacd548571951f94"><td class="memItemLeft" align="right" valign="top">const int16_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="cl__convolution_8cpp.xhtml#a565013cf7e49a591bacd548571951f94">gaussian5x5</a> []</td></tr>
 149 <tr class="memdesc:a565013cf7e49a591bacd548571951f94"><td class="mdescLeft">&#160;</td><td class="mdescRight">Gaussian 5x5 matrix.  <a href="#a565013cf7e49a591bacd548571951f94">More...</a><br /></td></tr>
 150 <tr class="separator:a565013cf7e49a591bacd548571951f94"><td class="memSeparator" colspan="2">&#160;</td></tr>
 151 </table>
 152 <h2 class="groupheader">Macro Definition Documentation</h2>
 153 <a class="anchor" id="a9915340d2c3c10c51e07994dde353f01"></a>
 154 <div class="memitem">
 155 <div class="memproto">
 156       <table class="memname">
 157         <tr>
 158           <td class="memname">#define ARM_COMPUTE_CL&#160;&#160;&#160;/* So that OpenCL exceptions get caught too */</td>
 159         </tr>
 160       </table>
 161 </div><div class="memdoc">
 162
 163 <p>Definition at line <a class="el" href="cl__convolution_8cpp_source.xhtml#l00024">24</a> of file <a class="el" href="cl__convolution_8cpp_source.xhtml">cl_convolution.cpp</a>.</p>
 164
 165 </div>
 166 </div>
 167 <h2 class="groupheader">Function Documentation</h2>
 168 <a class="anchor" id="a217dbf8b442f20279ea00b898af96f52"></a>
 169 <div class="memitem">
 170 <div class="memproto">
 171       <table class="memname">
 172         <tr>
 173           <td class="memname">int main </td>
 174           <td>(</td>
 175           <td class="paramtype">int&#160;</td>
 176           <td class="paramname"><em>argc</em>, </td>
 177         </tr>
 178         <tr>
 179           <td class="paramkey"></td>
 180           <td></td>
 181           <td class="paramtype">const char **&#160;</td>
 182           <td class="paramname"><em>argv</em>&#160;</td>
 183         </tr>
 184         <tr>
 185           <td></td>
 186           <td>)</td>
 187           <td></td><td></td>
 188         </tr>
 189       </table>
 190 </div><div class="memdoc">
 191
 192 <p>Main program for convolution test. </p>
 193 <dl class="params"><dt>Parameters</dt><dd>
 194   <table class="params">
 195     <tr><td class="paramdir">[in]</td><td class="paramname">argc</td><td>Number of arguments </td></tr>
 196     <tr><td class="paramdir">[in]</td><td class="paramname">argv</td><td>Arguments ( [optional] Path to PPM image to process ) </td></tr>
 197   </table>
 198   </dd>
 199 </dl>
 200
 201 <p>Definition at line <a class="el" href="cl__convolution_8cpp_source.xhtml#l00115">115</a> of file <a class="el" href="cl__convolution_8cpp_source.xhtml">cl_convolution.cpp</a>.</p>
 202
 203 <p>References <a class="el" href="cl__convolution_8cpp_source.xhtml#l00053">main_cl_convolution()</a>, and <a class="el" href="_utils_8cpp_source.xhtml#l00065">test_helpers::run_example()</a>.</p>
 204 <div class="fragment"><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;    <span class="keywordflow">return</span> <a class="code" href="namespacetest__helpers.xhtml#a4c9395db2c8b8d0c336656a7b58fca3e">test_helpers::run_example</a>(argc, argv, <a class="code" href="cl__convolution_8cpp.xhtml#a63683d6451d68be4415ea2a694b350e7">main_cl_convolution</a>);</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;}</div><div class="ttc" id="cl__convolution_8cpp_xhtml_a63683d6451d68be4415ea2a694b350e7"><div class="ttname"><a href="cl__convolution_8cpp.xhtml#a63683d6451d68be4415ea2a694b350e7">main_cl_convolution</a></div><div class="ttdeci">void main_cl_convolution(int argc, const char **argv)</div><div class="ttdef"><b>Definition:</b> <a href="cl__convolution_8cpp_source.xhtml#l00053">cl_convolution.cpp:53</a></div></div>
 205 <div class="ttc" id="namespacetest__helpers_xhtml_a4c9395db2c8b8d0c336656a7b58fca3e"><div class="ttname"><a href="namespacetest__helpers.xhtml#a4c9395db2c8b8d0c336656a7b58fca3e">test_helpers::run_example</a></div><div class="ttdeci">int run_example(int argc, const char **argv, example &amp;func)</div><div class="ttdoc">Run an example and handle the potential exceptions it throws. </div><div class="ttdef"><b>Definition:</b> <a href="_utils_8cpp_source.xhtml#l00065">Utils.cpp:65</a></div></div>
 206 </div><!-- fragment -->
 207 </div>
 208 </div>
 209 <a class="anchor" id="a63683d6451d68be4415ea2a694b350e7"></a>
 210 <div class="memitem">
 211 <div class="memproto">
 212       <table class="memname">
 213         <tr>
 214           <td class="memname">void main_cl_convolution </td>
 215           <td>(</td>
 216           <td class="paramtype">int&#160;</td>
 217           <td class="paramname"><em>argc</em>, </td>
 218         </tr>
 219         <tr>
 220           <td class="paramkey"></td>
 221           <td></td>
 222           <td class="paramtype">const char **&#160;</td>
 223           <td class="paramname"><em>argv</em>&#160;</td>
 224         </tr>
 225         <tr>
 226           <td></td>
 227           <td>)</td>
 228           <td></td><td></td>
 229         </tr>
 230       </table>
 231 </div><div class="memdoc">
 232
 233 <p>Definition at line <a class="el" href="cl__convolution_8cpp_source.xhtml#l00053">53</a> of file <a class="el" href="cl__convolution_8cpp_source.xhtml">cl_convolution.cpp</a>.</p>
 234
 235 <p>References <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">ITensorAllocator::allocate()</a>, <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">CLTensor::allocator()</a>, <a class="el" href="classarm__compute_1_1_c_l_convolution3x3.xhtml#a26e1b4686b1f2d591d62d11585114a82">CLConvolution3x3::configure()</a>, <a class="el" href="classarm__compute_1_1_c_l_convolution_square.xhtml#a26e1b4686b1f2d591d62d11585114a82">CLConvolutionSquare&lt; matrix_size &gt;::configure()</a>, <a class="el" href="_c_l_scheduler_8h_source.xhtml#l00050">CLScheduler::default_init()</a>, <a class="el" href="test__helpers_2_utils_8h_source.xhtml#l00142">PPMLoader::fill_image()</a>, <a class="el" href="cl__convolution_8cpp_source.xhtml#l00035">gaussian3x3</a>, <a class="el" href="cl__convolution_8cpp_source.xhtml#l00044">gaussian5x5</a>, <a class="el" href="classarm__compute_1_1_c_l_scheduler.xhtml#a60f9a6836b628a7171914c4afe43b4a7">CLScheduler::get()</a>, <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">CLTensor::info()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">ITensorAllocator::init()</a>, <a class="el" href="test__helpers_2_utils_8h_source.xhtml#l00125">PPMLoader::init_image()</a>, <a class="el" href="test__helpers_2_utils_8h_source.xhtml#l00114">PPMLoader::is_open()</a>, <a class="el" href="test__helpers_2_utils_8h_source.xhtml#l00094">PPMLoader::open()</a>, <a class="el" href="classarm__compute_1_1_i_c_l_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">ICLSimpleFunction::run()</a>, <a class="el" href="classarm__compute_1_1_c_l_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb">CLConvolutionSquare&lt; matrix_size &gt;::run()</a>, <a class="el" href="test__helpers_2_utils_8h_source.xhtml#l00245">test_helpers::save_to_ppm()</a>, <a class="el" href="_c_l_scheduler_8h_source.xhtml#l00110">CLScheduler::sync()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::U8</a>, and <a class="el" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a0db45d2a4141101bdfe48e3314cfbca3">arm_compute::UNDEFINED</a>.</p>
 236
 237 <p>Referenced by <a class="el" href="cl__convolution_8cpp_source.xhtml#l00115">main()</a>.</p>
 238 <div class="fragment"><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;{</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    <a class="code" href="classtest__helpers_1_1_p_p_m_loader.xhtml">PPMLoader</a> ppm;</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLImage</a>   src, tmp, dst;</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;    CLScheduler::get().default_init();</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    <span class="keywordflow">if</span>(argc &lt; 2)</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    {</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;        <span class="comment">// Print help</span></div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;        std::cout &lt;&lt; <span class="stringliteral">&quot;Usage: ./build/cl_convolution [input_image.ppm]\n\n&quot;</span>;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;        std::cout &lt;&lt; <span class="stringliteral">&quot;No input_image provided, creating a dummy 640x480 image\n&quot;</span>;</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;        <span class="comment">// Create an empty grayscale 640x480 image</span></div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;        src.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">init</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(640, 480, Format::U8));</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    }</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <span class="keywordflow">else</span></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;        ppm.<a class="code" href="classtest__helpers_1_1_p_p_m_loader.xhtml#a36e58f3e64f3851ebac7a9556b4704ed">open</a>(argv[1]);</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;        ppm.<a class="code" href="classtest__helpers_1_1_p_p_m_loader.xhtml#a283b961e6ca7b117b106c8710c7cfe81">init_image</a>(src, Format::U8);</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    }</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    <span class="comment">// Configure the temporary and destination images</span></div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    tmp.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">init</a>(*src.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>());</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    dst.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">init</a>(*src.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>());</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_convolution3x3.xhtml">CLConvolution3x3</a> conv3x3;</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_convolution_square.xhtml">CLConvolution5x5</a> conv5x5;</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">// Apply a Gaussian 3x3 filter to the source image followed by a Gaussian 5x5:</span></div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    conv3x3.<a class="code" href="classarm__compute_1_1_c_l_convolution3x3.xhtml#a26e1b4686b1f2d591d62d11585114a82">configure</a>(&amp;src, &amp;tmp, <a class="code" href="cl__convolution_8cpp.xhtml#a741ba5321da40184f8653e0a50ace070">gaussian3x3</a>, 0 <span class="comment">/* Let arm_compute calculate the scale */</span>, BorderMode::UNDEFINED);</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    conv5x5.<a class="code" href="classarm__compute_1_1_c_l_convolution_square.xhtml#a26e1b4686b1f2d591d62d11585114a82">configure</a>(&amp;tmp, &amp;dst, <a class="code" href="cl__convolution_8cpp.xhtml#a565013cf7e49a591bacd548571951f94">gaussian5x5</a>, 0 <span class="comment">/* Let arm_compute calculate the scale */</span>, BorderMode::UNDEFINED);</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <span class="comment">// Allocate all the images</span></div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    src.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">allocate</a>();</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    tmp.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">allocate</a>();</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    dst.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">allocate</a>();</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    <span class="comment">// Fill the input image with the content of the PPM image if a filename was provided:</span></div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    <span class="keywordflow">if</span>(ppm.<a class="code" href="classtest__helpers_1_1_p_p_m_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">is_open</a>())</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;        ppm.<a class="code" href="classtest__helpers_1_1_p_p_m_loader.xhtml#a1672610b872bef30d0dc2333a0ffc402">fill_image</a>(src);</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;</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    <span class="comment">// Execute the functions:</span></div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    conv3x3.<a class="code" href="classarm__compute_1_1_i_c_l_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">run</a>();</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    conv5x5.<a class="code" href="classarm__compute_1_1_c_l_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>();</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;    <span class="comment">// Make sure all the OpenCL jobs are done executing:</span></div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    CLScheduler::get().sync();</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;    <span class="comment">// Save the result to file:</span></div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    <span class="keywordflow">if</span>(ppm.<a class="code" href="classtest__helpers_1_1_p_p_m_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">is_open</a>())</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    {</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;        <span class="keyword">const</span> std::string output_filename = std::string(argv[1]) + <span class="stringliteral">&quot;_out.ppm&quot;</span>;</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;        <a class="code" href="namespacetest__helpers.xhtml#a5036a1b77bd7223a68954b5078c6545a">save_to_ppm</a>(dst, output_filename); <span class="comment">// save_to_ppm maps and unmaps the image to store as PPM</span></div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    }</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1_c_l_convolution3x3_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution3x3.xhtml">arm_compute::CLConvolution3x3</a></div><div class="ttdoc">Basic function to execute convolution of size 3x3. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_convolution_8h_source.xhtml#l00046">CLConvolution.h:46</a></div></div>
 239 <div class="ttc" id="classtest__helpers_1_1_p_p_m_loader_xhtml_a2f57f54d8c03b615bb31eee091d8a88a"><div class="ttname"><a href="classtest__helpers_1_1_p_p_m_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">test_helpers::PPMLoader::is_open</a></div><div class="ttdeci">bool is_open()</div><div class="ttdoc">Return true if a PPM file is currently open. </div><div class="ttdef"><b>Definition:</b> <a href="test__helpers_2_utils_8h_source.xhtml#l00114">Utils.h:114</a></div></div>
 240 <div class="ttc" id="classarm__compute_1_1_c_l_convolution_square_xhtml_a26e1b4686b1f2d591d62d11585114a82"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_square.xhtml#a26e1b4686b1f2d591d62d11585114a82">arm_compute::CLConvolutionSquare::configure</a></div><div class="ttdeci">void configure(ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value=0)</div><div class="ttdoc">Initialize the function&amp;#39;s source, destination, conv and border_mode. </div></div>
 241 <div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_ad6dc6b773780dd6b1ad17fc82368d9f3"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">arm_compute::CLTensor::allocator</a></div><div class="ttdeci">ITensorAllocator * allocator()</div><div class="ttdoc">Return a pointer to the tensor&amp;#39;s allocator. </div></div>
 242 <div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a97de03c31e0ca04be6960e2e3ffdca95"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">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&amp;#39;s metadata. </div></div>
 243 <div class="ttc" id="classtest__helpers_1_1_p_p_m_loader_xhtml_a1672610b872bef30d0dc2333a0ffc402"><div class="ttname"><a href="classtest__helpers_1_1_p_p_m_loader.xhtml#a1672610b872bef30d0dc2333a0ffc402">test_helpers::PPMLoader::fill_image</a></div><div class="ttdeci">void fill_image(T &amp;image)</div><div class="ttdoc">Fill an image with the content of the currently open PPM file. </div><div class="ttdef"><b>Definition:</b> <a href="test__helpers_2_utils_8h_source.xhtml#l00142">Utils.h:142</a></div></div>
 244 <div class="ttc" id="classarm__compute_1_1_c_l_convolution_square_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::CLConvolutionSquare::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function. </div></div>
 245 <div class="ttc" id="classarm__compute_1_1_i_tensor_allocator_xhtml_aa8a4946cd749d482dd996874d295af85"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">arm_compute::ITensorAllocator::allocate</a></div><div class="ttdeci">virtual void allocate()=0</div><div class="ttdoc">Interface to be implemented by the child class to allocate the tensor. </div></div>
 246 <div class="ttc" id="classtest__helpers_1_1_p_p_m_loader_xhtml_a36e58f3e64f3851ebac7a9556b4704ed"><div class="ttname"><a href="classtest__helpers_1_1_p_p_m_loader.xhtml#a36e58f3e64f3851ebac7a9556b4704ed">test_helpers::PPMLoader::open</a></div><div class="ttdeci">void open(const std::string &amp;ppm_filename)</div><div class="ttdoc">Open a PPM file and reads its metadata (Width, height) </div><div class="ttdef"><b>Definition:</b> <a href="test__helpers_2_utils_8h_source.xhtml#l00094">Utils.h:94</a></div></div>
 247 <div class="ttc" id="cl__convolution_8cpp_xhtml_a565013cf7e49a591bacd548571951f94"><div class="ttname"><a href="cl__convolution_8cpp.xhtml#a565013cf7e49a591bacd548571951f94">gaussian5x5</a></div><div class="ttdeci">const int16_t gaussian5x5[]</div><div class="ttdoc">Gaussian 5x5 matrix. </div><div class="ttdef"><b>Definition:</b> <a href="cl__convolution_8cpp_source.xhtml#l00044">cl_convolution.cpp:44</a></div></div>
 248 <div class="ttc" id="classarm__compute_1_1_c_l_convolution_square_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_square.xhtml">arm_compute::CLConvolutionSquare</a></div><div class="ttdoc">Basic function to execute square convolution.Currently it supports 5x5, 7x7, 9x9. ...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_convolution_8h_source.xhtml#l00069">CLConvolution.h:69</a></div></div>
 249 <div class="ttc" id="cl__convolution_8cpp_xhtml_a741ba5321da40184f8653e0a50ace070"><div class="ttname"><a href="cl__convolution_8cpp.xhtml#a741ba5321da40184f8653e0a50ace070">gaussian3x3</a></div><div class="ttdeci">const int16_t gaussian3x3[]</div><div class="ttdoc">Gaussian 3x3 matrix. </div><div class="ttdef"><b>Definition:</b> <a href="cl__convolution_8cpp_source.xhtml#l00035">cl_convolution.cpp:35</a></div></div>
 250 <div class="ttc" id="classtest__helpers_1_1_p_p_m_loader_xhtml"><div class="ttname"><a href="classtest__helpers_1_1_p_p_m_loader.xhtml">test_helpers::PPMLoader</a></div><div class="ttdoc">Class to load the content of a PPM file into an Image. </div><div class="ttdef"><b>Definition:</b> <a href="test__helpers_2_utils_8h_source.xhtml#l00083">Utils.h:83</a></div></div>
 251 <div class="ttc" id="classtest__helpers_1_1_p_p_m_loader_xhtml_a283b961e6ca7b117b106c8710c7cfe81"><div class="ttname"><a href="classtest__helpers_1_1_p_p_m_loader.xhtml#a283b961e6ca7b117b106c8710c7cfe81">test_helpers::PPMLoader::init_image</a></div><div class="ttdeci">void init_image(T &amp;image, Format format)</div><div class="ttdoc">Initialise an image&amp;#39;s metadata with the dimensions of the PPM file currently open. </div><div class="ttdef"><b>Definition:</b> <a href="test__helpers_2_utils_8h_source.xhtml#l00125">Utils.h:125</a></div></div>
 252 <div class="ttc" id="classarm__compute_1_1_c_l_convolution3x3_xhtml_a26e1b4686b1f2d591d62d11585114a82"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution3x3.xhtml#a26e1b4686b1f2d591d62d11585114a82">arm_compute::CLConvolution3x3::configure</a></div><div class="ttdeci">void configure(ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value=0)</div><div class="ttdoc">Initialize the function&amp;#39;s source, destination, conv and border_mode. </div></div>
 253 <div class="ttc" id="classarm__compute_1_1_i_tensor_allocator_xhtml_aa72161e0e3c0f6b2da20f835de6af680"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">arm_compute::ITensorAllocator::init</a></div><div class="ttdeci">void init(const TensorInfo &amp;input)</div><div class="ttdoc">Initialize a tensor based on the passed TensorInfo. </div></div>
 254 <div class="ttc" id="namespacetest__helpers_xhtml_a5036a1b77bd7223a68954b5078c6545a"><div class="ttname"><a href="namespacetest__helpers.xhtml#a5036a1b77bd7223a68954b5078c6545a">test_helpers::save_to_ppm</a></div><div class="ttdeci">void save_to_ppm(T &amp;tensor, const std::string &amp;ppm_filename)</div><div class="ttdoc">Template helper function to save a tensor image to a PPM file. </div><div class="ttdef"><b>Definition:</b> <a href="test__helpers_2_utils_8h_source.xhtml#l00245">Utils.h:245</a></div></div>
 255 <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&amp;#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00040">TensorInfo.h:40</a></div></div>
 256 <div class="ttc" id="classarm__compute_1_1_i_c_l_simple_function_xhtml_ab5fd6e96c07aaaed2747c7e16ed5951e"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">arm_compute::ICLSimpleFunction::run</a></div><div class="ttdeci">void run() overridefinal</div><div class="ttdoc">Run the kernels contained in the function. </div></div>
 257 <div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml">arm_compute::CLTensor</a></div><div class="ttdoc">Basic implementation of the OpenCL tensor interface. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8h_source.xhtml#l00039">CLTensor.h:39</a></div></div>
 258 </div><!-- fragment -->
 259 </div>
 260 </div>
 261 <h2 class="groupheader">Variable Documentation</h2>
 262 <a class="anchor" id="a741ba5321da40184f8653e0a50ace070"></a>
 263 <div class="memitem">
 264 <div class="memproto">
 265       <table class="memname">
 266         <tr>
 267           <td class="memname">const int16_t gaussian3x3[]</td>
 268         </tr>
 269       </table>
 270 </div><div class="memdoc">
 271 <b>Initial value:</b><div class="fragment"><div class="line">=</div><div class="line">{</div><div class="line">    1, 2, 1,</div><div class="line">    2, 4, 2,</div><div class="line">    1, 2, 1</div><div class="line">}</div></div><!-- fragment -->
 272 <p>Gaussian 3x3 matrix. </p>
 273
 274 <p>Definition at line <a class="el" href="cl__convolution_8cpp_source.xhtml#l00035">35</a> of file <a class="el" href="cl__convolution_8cpp_source.xhtml">cl_convolution.cpp</a>.</p>
 275
 276 <p>Referenced by <a class="el" href="cl__convolution_8cpp_source.xhtml#l00053">main_cl_convolution()</a>.</p>
 277
 278 </div>
 279 </div>
 280 <a class="anchor" id="a565013cf7e49a591bacd548571951f94"></a>
 281 <div class="memitem">
 282 <div class="memproto">
 283       <table class="memname">
 284         <tr>
 285           <td class="memname">const int16_t gaussian5x5[]</td>
 286         </tr>
 287       </table>
 288 </div><div class="memdoc">
 289 <b>Initial value:</b><div class="fragment"><div class="line">=</div><div class="line">{</div><div class="line">    1, 4, 6, 4, 1,</div><div class="line">    4, 16, 24, 16, 4,</div><div class="line">    6, 24, 36, 24, 6,</div><div class="line">    4, 16, 24, 16, 4,</div><div class="line">    1, 4, 6, 4, 1</div><div class="line">}</div></div><!-- fragment -->
 290 <p>Gaussian 5x5 matrix. </p>
 291
 292 <p>Definition at line <a class="el" href="cl__convolution_8cpp_source.xhtml#l00044">44</a> of file <a class="el" href="cl__convolution_8cpp_source.xhtml">cl_convolution.cpp</a>.</p>
 293
 294 <p>Referenced by <a class="el" href="cl__convolution_8cpp_source.xhtml#l00053">main_cl_convolution()</a>.</p>
 295
 296 </div>
 297 </div>
 298 </div><!-- contents -->
 299 </div><!-- doc-content -->
 300 <!-- start footer part -->
 301 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
 302   <ul>
 303     <li class="navelem"><a class="el" href="dir_d28a4824dc47e487b107a5db32ef43c4.xhtml">examples</a></li><li class="navelem"><a class="el" href="cl__convolution_8cpp.xhtml">cl_convolution.cpp</a></li>
 304     <li class="footer">Generated on Wed Apr 12 2017 14:26:05 for ARM Compute Library by
 305     <a href="http://www.doxygen.org/index.html">
 306     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
 307   </ul>
 308 </div>
 309 </body>
 310 </html>