arm_compute v17.04

[platform/upstream/armcl.git] / documentation / cl__events_8cpp.xhtml

diff --git a/documentation/cl__events_8cpp.xhtml b/documentation/cl__events_8cpp.xhtml
index 6d65c9c..de19985 100644 (file)
--- a/documentation/cl__events_8cpp.xhtml
+++ b/documentation/cl__events_8cpp.xhtml
@@ -40,7 +40,7 @@
  <tr style="height: 56px;">
   <td style="padding-left: 0.5em;">
    <div id="projectname">ARM Compute Library
-   &#160;<span id="projectnumber">17.03.1</span>
+   &#160;<span id="projectnumber">17.04</span>
    </div>
   </td>
  </tr>
@@ -188,11 +188,11 @@ Functions</h2></td></tr>
   </dd>
 </dl>
 
-<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>
+<p>Definition at line <a class="el" href="cl__events_8cpp_source.xhtml#l00111">111</a> of file <a class="el" href="cl__events_8cpp_source.xhtml">cl_events.cpp</a>.</p>
 
-<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>
-<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>
-<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>
+<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#l00065">test_helpers::run_example()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;{</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    <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="l00114"></a><span class="lineno">  114</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>
+<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>
 </div><!-- fragment -->
 </div>
 </div>
@@ -224,9 +224,9 @@ Functions</h2></td></tr>
 
 <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>
 
-<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>
+<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#l00245">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>
 
-<p>Referenced by <a class="el" href="cl__events_8cpp_source.xhtml#l00110">main()</a>.</p>
+<p>Referenced by <a class="el" href="cl__events_8cpp_source.xhtml#l00111">main()</a>.</p>
 <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>
 <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>
 <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>
@@ -243,7 +243,7 @@ Functions</h2></td></tr>
 <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>
 <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>
 <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>
-<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>
+<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>
 <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>
 <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>
 <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>
@@ -257,7 +257,7 @@ Functions</h2></td></tr>
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-    <li class="footer">Generated on Fri Mar 24 2017 17:23:50 for ARM Compute Library by
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