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116<a href="#define-members">Macros</a> &#124;
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119<div class="title">cl_events.cpp File Reference</div> </div>
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121<div class="contents">
122<div class="textblock"><code>#include &quot;<a class="el" href="_types_8h_source.xhtml">arm_compute/core/Types.h</a>&quot;</code><br />
123<code>#include &quot;<a class="el" href="_c_l_functions_8h_source.xhtml">arm_compute/runtime/CL/CLFunctions.h</a>&quot;</code><br />
124<code>#include &quot;<a class="el" href="_c_l_scheduler_8h_source.xhtml">arm_compute/runtime/CL/CLScheduler.h</a>&quot;</code><br />
125<code>#include &quot;<a class="el" href="test__helpers_2_utils_8h_source.xhtml">test_helpers/Utils.h</a>&quot;</code><br />
126</div>
127<p><a href="cl__events_8cpp_source.xhtml">Go to the source code of this file.</a></p>
128<table class="memberdecls">
129<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="define-members"></a>
130Macros</h2></td></tr>
131<tr class="memitem:a9915340d2c3c10c51e07994dde353f01"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="cl__events_8cpp.xhtml#a9915340d2c3c10c51e07994dde353f01">ARM_COMPUTE_CL</a>&#160;&#160;&#160;/* So that OpenCL exceptions get caught too */</td></tr>
132<tr class="separator:a9915340d2c3c10c51e07994dde353f01"><td class="memSeparator" colspan="2">&#160;</td></tr>
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135Functions</h2></td></tr>
136<tr class="memitem:a5eb01b416cc3221d024edaf6eddee305"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="cl__events_8cpp.xhtml#a5eb01b416cc3221d024edaf6eddee305">main_cl_events</a> (int argc, const char **argv)</td></tr>
137<tr class="separator:a5eb01b416cc3221d024edaf6eddee305"><td class="memSeparator" colspan="2">&#160;</td></tr>
138<tr class="memitem:a217dbf8b442f20279ea00b898af96f52"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="cl__events_8cpp.xhtml#a217dbf8b442f20279ea00b898af96f52">main</a> (int argc, const char **argv)</td></tr>
139<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>
140<tr class="separator:a217dbf8b442f20279ea00b898af96f52"><td class="memSeparator" colspan="2">&#160;</td></tr>
141</table>
142<h2 class="groupheader">Macro Definition Documentation</h2>
143<a class="anchor" id="a9915340d2c3c10c51e07994dde353f01"></a>
144<div class="memitem">
145<div class="memproto">
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147 <tr>
148 <td class="memname">#define ARM_COMPUTE_CL&#160;&#160;&#160;/* So that OpenCL exceptions get caught too */</td>
149 </tr>
150 </table>
151</div><div class="memdoc">
152
153<p>Definition at line <a class="el" href="cl__events_8cpp_source.xhtml#l00024">24</a> of file <a class="el" href="cl__events_8cpp_source.xhtml">cl_events.cpp</a>.</p>
154
155</div>
156</div>
157<h2 class="groupheader">Function Documentation</h2>
158<a class="anchor" id="a217dbf8b442f20279ea00b898af96f52"></a>
159<div class="memitem">
160<div class="memproto">
161 <table class="memname">
162 <tr>
163 <td class="memname">int main </td>
164 <td>(</td>
165 <td class="paramtype">int&#160;</td>
166 <td class="paramname"><em>argc</em>, </td>
167 </tr>
168 <tr>
169 <td class="paramkey"></td>
170 <td></td>
171 <td class="paramtype">const char **&#160;</td>
172 <td class="paramname"><em>argv</em>&#160;</td>
173 </tr>
174 <tr>
175 <td></td>
176 <td>)</td>
177 <td></td><td></td>
178 </tr>
179 </table>
180</div><div class="memdoc">
181
182<p>Main program for convolution test. </p>
183<dl class="params"><dt>Parameters</dt><dd>
184 <table class="params">
185 <tr><td class="paramdir">[in]</td><td class="paramname">argc</td><td>Number of arguments </td></tr>
186 <tr><td class="paramdir">[in]</td><td class="paramname">argv</td><td>Arguments ( [optional] Path to PPM image to process ) </td></tr>
187 </table>
188 </dd>
189</dl>
190
191<p>Definition at line <a class="el" href="cl__events_8cpp_source.xhtml#l00110">110</a> of file <a class="el" href="cl__events_8cpp_source.xhtml">cl_events.cpp</a>.</p>
192
193<p>References <a class="el" href="cl__events_8cpp_source.xhtml#l00033">main_cl_events()</a>, and <a class="el" href="_utils_8cpp_source.xhtml#l00064">test_helpers::run_example()</a>.</p>
194<div class="fragment"><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160;{</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</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__events_8cpp.xhtml#a5eb01b416cc3221d024edaf6eddee305">main_cl_events</a>);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160;}</div><div class="ttc" id="cl__events_8cpp_xhtml_a5eb01b416cc3221d024edaf6eddee305"><div class="ttname"><a href="cl__events_8cpp.xhtml#a5eb01b416cc3221d024edaf6eddee305">main_cl_events</a></div><div class="ttdeci">void main_cl_events(int argc, const char **argv)</div><div class="ttdef"><b>Definition:</b> <a href="cl__events_8cpp_source.xhtml#l00033">cl_events.cpp:33</a></div></div>
195<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#l00064">Utils.cpp:64</a></div></div>
196</div><!-- fragment -->
197</div>
198</div>
199<a class="anchor" id="a5eb01b416cc3221d024edaf6eddee305"></a>
200<div class="memitem">
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202 <table class="memname">
203 <tr>
204 <td class="memname">void main_cl_events </td>
205 <td>(</td>
206 <td class="paramtype">int&#160;</td>
207 <td class="paramname"><em>argc</em>, </td>
208 </tr>
209 <tr>
210 <td class="paramkey"></td>
211 <td></td>
212 <td class="paramtype">const char **&#160;</td>
213 <td class="paramname"><em>argv</em>&#160;</td>
214 </tr>
215 <tr>
216 <td></td>
217 <td>)</td>
218 <td></td><td></td>
219 </tr>
220 </table>
221</div><div class="memdoc">
222<p>[OpenCL events]</p>
223<p>[OpenCL events] </p>
224
225<p>Definition at line <a class="el" href="cl__events_8cpp_source.xhtml#l00033">33</a> of file <a class="el" href="cl__events_8cpp_source.xhtml">cl_events.cpp</a>.</p>
226
227<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_scale.xhtml#aaab8edc0df1785727fd195b8ecf07e22">CLScale::configure()</a>, <a class="el" href="classarm__compute_1_1_c_l_median3x3.xhtml#a2a829a721f585b9028e9712e71698e69">CLMedian3x3::configure()</a>, <a class="el" href="classarm__compute_1_1_c_l_gaussian5x5.xhtml#a2a829a721f585b9028e9712e71698e69">CLGaussian5x5::configure()</a>, <a class="el" href="_c_l_scheduler_8h_source.xhtml#l00050">CLScheduler::default_init()</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00190">TensorInfo::dimension()</a>, <a class="el" href="_c_l_scheduler_8h_source.xhtml#l00119">CLScheduler::enqueue_sync_event()</a>, <a class="el" href="test__helpers_2_utils_8h_source.xhtml#l00142">PPMLoader::fill_image()</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="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9a7f5ccbc3d30c2cd3fd04d567946cbde2">arm_compute::NEAREST_NEIGHBOR</a>, <a class="el" href="test__helpers_2_utils_8h_source.xhtml#l00094">PPMLoader::open()</a>, <a class="el" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a4ef59320fbe90fe47d40f1f71e4c5daa">arm_compute::REPLICATE</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_gaussian5x5.xhtml#ad1717410afd0be936c6213a63c8005fb">CLGaussian5x5::run()</a>, <a class="el" href="test__helpers_2_utils_8h_source.xhtml#l00241">test_helpers::save_to_ppm()</a>, <a class="el" href="_c_l_scheduler_8h_source.xhtml#l00110">CLScheduler::sync()</a>, and <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::U8</a>.</p>
228
229<p>Referenced by <a class="el" href="cl__events_8cpp_source.xhtml#l00110">main()</a>.</p>
230<div class="fragment"><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;{</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <a class="code" href="classtest__helpers_1_1_p_p_m_loader.xhtml">PPMLoader</a> ppm;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLImage</a> src, tmp_scale_median, tmp_median_gauss, dst;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; constexpr <span class="keywordtype">int</span> scale_factor = 2;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; CLScheduler::get().default_init();</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <span class="keywordflow">if</span>(argc &lt; 2)</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; <span class="comment">// Print help</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot;Usage: ./build/cl_events [input_image.ppm]\n\n&quot;</span>;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</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="l00047"></a><span class="lineno"> 47</span>&#160; <span class="comment">// Create an empty grayscale 640x480 image</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</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="l00049"></a><span class="lineno"> 49</span>&#160; }</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; {</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; 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="l00053"></a><span class="lineno"> 53</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="l00054"></a><span class="lineno"> 54</span>&#160; }</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="comment">// Declare and configure the functions to create the following pipeline: scale -&gt; median -&gt; gauss</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_scale.xhtml">CLScale</a> scale;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_median3x3.xhtml">CLMedian3x3</a> median;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_gaussian5x5.xhtml">CLGaussian5x5</a> gauss;</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; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> dst_info(src.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a6c223d48dcc4afd27b6f3932182622b6">dimension</a>(0) / scale_factor, src.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a6c223d48dcc4afd27b6f3932182622b6">dimension</a>(1) / scale_factor, Format::U8);</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="comment">// Configure the temporary and destination images</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</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>(dst_info);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; tmp_scale_median.<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>(dst_info);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; tmp_median_gauss.<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>(dst_info);</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="comment">//Configure the functions:</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; scale.<a class="code" href="classarm__compute_1_1_c_l_scale.xhtml#aaab8edc0df1785727fd195b8ecf07e22">configure</a>(&amp;src, &amp;tmp_scale_median, InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::REPLICATE);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; median.<a class="code" href="classarm__compute_1_1_c_l_median3x3.xhtml#a2a829a721f585b9028e9712e71698e69">configure</a>(&amp;tmp_scale_median, &amp;tmp_median_gauss, BorderMode::REPLICATE);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; gauss.<a class="code" href="classarm__compute_1_1_c_l_gaussian5x5.xhtml#a2a829a721f585b9028e9712e71698e69">configure</a>(&amp;tmp_median_gauss, &amp;dst, BorderMode::REPLICATE);</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; <span class="comment">// Allocate all the images</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</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="l00075"></a><span class="lineno"> 75</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="l00076"></a><span class="lineno"> 76</span>&#160; tmp_scale_median.<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="l00077"></a><span class="lineno"> 77</span>&#160; tmp_median_gauss.<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="l00078"></a><span class="lineno"> 78</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="l00079"></a><span class="lineno"> 79</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="l00080"></a><span class="lineno"> 80</span>&#160; {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</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="l00082"></a><span class="lineno"> 82</span>&#160; }</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; <span class="comment">// Enqueue and flush the scale OpenCL kernel:</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; scale.<a class="code" href="classarm__compute_1_1_i_c_l_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">run</a>();</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="comment">// Create a synchronisation event between scale and median:</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; cl::Event scale_event = CLScheduler::get().enqueue_sync_event();</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="comment">// Enqueue and flush the median OpenCL kernel:</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; median.<a class="code" href="classarm__compute_1_1_i_c_l_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">run</a>();</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="comment">// Enqueue and flush the Gaussian OpenCL kernel:</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; gauss.<a class="code" href="classarm__compute_1_1_c_l_gaussian5x5.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>();</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; <span class="comment">//Make sure all the OpenCL jobs are done executing:</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; scale_event.wait(); <span class="comment">// Block until Scale is done executing (Median3x3 and Gaussian5x5 might still be running)</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; CLScheduler::get().sync(); <span class="comment">// Block until Gaussian5x5 is done executing</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="comment">// Save the result to file:</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</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="l00099"></a><span class="lineno"> 99</span>&#160; {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</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="l00101"></a><span class="lineno"> 101</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="l00102"></a><span class="lineno"> 102</span>&#160; }</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1_c_l_median3x3_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_median3x3.xhtml">arm_compute::CLMedian3x3</a></div><div class="ttdoc">Basic function to execute median filter. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_median3x3_8h_source.xhtml#l00042">CLMedian3x3.h:42</a></div></div>
231<div class="ttc" id="classarm__compute_1_1_c_l_gaussian5x5_xhtml_a2a829a721f585b9028e9712e71698e69"><div class="ttname"><a href="classarm__compute_1_1_c_l_gaussian5x5.xhtml#a2a829a721f585b9028e9712e71698e69">arm_compute::CLGaussian5x5::configure</a></div><div class="ttdeci">void configure(ICLTensor *input, ICLTensor *output, BorderMode border_mode, uint8_t constant_border_value=0)</div><div class="ttdoc">Initialise the function&amp;#39;s source, destinations and border mode. </div></div>
232<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>
233<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>
234<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>
235<div class="ttc" id="classarm__compute_1_1_c_l_gaussian5x5_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_c_l_gaussian5x5.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::CLGaussian5x5::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function. </div></div>
236<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>
237<div class="ttc" id="classarm__compute_1_1_c_l_scale_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_scale.xhtml">arm_compute::CLScale</a></div><div class="ttdoc">Basic function to run CLScaleKernel. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scale_8h_source.xhtml#l00037">CLScale.h:37</a></div></div>
238<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a6c223d48dcc4afd27b6f3932182622b6"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a6c223d48dcc4afd27b6f3932182622b6">arm_compute::TensorInfo::dimension</a></div><div class="ttdeci">size_t dimension(size_t index) const </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#l00190">TensorInfo.h:190</a></div></div>
239<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>
240<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>
241<div class="ttc" id="classarm__compute_1_1_c_l_median3x3_xhtml_a2a829a721f585b9028e9712e71698e69"><div class="ttname"><a href="classarm__compute_1_1_c_l_median3x3.xhtml#a2a829a721f585b9028e9712e71698e69">arm_compute::CLMedian3x3::configure</a></div><div class="ttdeci">void configure(ICLTensor *input, ICLTensor *output, BorderMode border_mode, uint8_t constant_border_value=0)</div><div class="ttdoc">Initialise the function&amp;#39;s source, destinations and border mode. </div></div>
242<div class="ttc" id="classarm__compute_1_1_c_l_gaussian5x5_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_gaussian5x5.xhtml">arm_compute::CLGaussian5x5</a></div><div class="ttdoc">Basic function to execute gaussian filter 5x5. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_gaussian5x5_8h_source.xhtml#l00046">CLGaussian5x5.h:46</a></div></div>
243<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>
244<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>
245<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>
246<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#l00241">Utils.h:241</a></div></div>
247<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>
248<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>
249<div class="ttc" id="classarm__compute_1_1_c_l_scale_xhtml_aaab8edc0df1785727fd195b8ecf07e22"><div class="ttname"><a href="classarm__compute_1_1_c_l_scale.xhtml#aaab8edc0df1785727fd195b8ecf07e22">arm_compute::CLScale::configure</a></div><div class="ttdeci">void configure(ICLTensor *input, ICLTensor *output, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value=0)</div><div class="ttdoc">Initialize the function&amp;#39;s source, destination, interpolation type and border_mode. </div></div>
250<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>
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259 <li class="navelem"><a class="el" href="dir_d28a4824dc47e487b107a5db32ef43c4.xhtml">examples</a></li><li class="navelem"><a class="el" href="cl__events_8cpp.xhtml">cl_events.cpp</a></li>
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