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| <div class="textblock"><code>#include "<a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">arm_compute/core/Types.h</a>"</code><br/> |
| <code>#include "<a class="el" href="_c_l_functions_8h_source.xhtml">arm_compute/runtime/CL/CLFunctions.h</a>"</code><br/> |
| <code>#include "<a class="el" href="_c_l_scheduler_8h_source.xhtml">arm_compute/runtime/CL/CLScheduler.h</a>"</code><br/> |
| <code>#include "<a class="el" href="utils_2_utils_8h_source.xhtml">utils/Utils.h</a>"</code><br/> |
| </div> |
| <p><a href="cl__events_8cpp_source.xhtml">Go to the source code of this file.</a></p> |
| <table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> |
| Functions</h2></td></tr> |
| <tr class="memitem:a5eb01b416cc3221d024edaf6eddee305"><td class="memItemLeft" align="right" valign="top">void </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> |
| <tr class="separator:a5eb01b416cc3221d024edaf6eddee305"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a217dbf8b442f20279ea00b898af96f52"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="cl__events_8cpp.xhtml#a217dbf8b442f20279ea00b898af96f52">main</a> (int argc, const char **argv)</td></tr> |
| <tr class="memdesc:a217dbf8b442f20279ea00b898af96f52"><td class="mdescLeft"> </td><td class="mdescRight">Main program for convolution test. <a href="#a217dbf8b442f20279ea00b898af96f52">More...</a><br/></td></tr> |
| <tr class="separator:a217dbf8b442f20279ea00b898af96f52"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <h2 class="groupheader">Function Documentation</h2> |
| <a class="anchor" id="a217dbf8b442f20279ea00b898af96f52"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">int main </td> |
| <td>(</td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>argc</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const char ** </td> |
| <td class="paramname"><em>argv</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Main program for convolution test. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">argc</td><td>Number of arguments </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">argv</td><td>Arguments ( [optional] Path to PPM image to process ) </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p>Definition at line <a class="el" href="cl__events_8cpp_source.xhtml#l00114">114</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#l00036">main_cl_events()</a>, and <a class="el" href="utils_2_utils_8cpp_source.xhtml#l00069">arm_compute::utils::run_example()</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> {</div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4c9395db2c8b8d0c336656a7b58fca3e">utils::run_example</a>(argc, argv, <a class="code" href="cl__events_8cpp.xhtml#a5eb01b416cc3221d024edaf6eddee305">main_cl_events</a>);</div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span> }</div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a4c9395db2c8b8d0c336656a7b58fca3e"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a4c9395db2c8b8d0c336656a7b58fca3e">arm_compute::utils::run_example</a></div><div class="ttdeci">int run_example(int argc, const char **argv, example &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_2_utils_8cpp_source.xhtml#l00069">Utils.cpp:69</a></div></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#l00036">cl_events.cpp:36</a></div></div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a class="anchor" id="a5eb01b416cc3221d024edaf6eddee305"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void main_cl_events </td> |
| <td>(</td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>argc</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const char ** </td> |
| <td class="paramname"><em>argv</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| <p>[OpenCL events]</p> |
| <p>[OpenCL events] </p> |
| |
| <p>Definition at line <a class="el" href="cl__events_8cpp_source.xhtml#l00036">36</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#a678879757617483da15b34c7b9d58279">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#l00061">CLScheduler::default_init()</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00210">TensorInfo::dimension()</a>, <a class="el" href="_c_l_scheduler_8h_source.xhtml#l00157">CLScheduler::enqueue_sync_event()</a>, <a class="el" href="utils_2_utils_8h_source.xhtml#l00187">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="utils_2_utils_8h_source.xhtml#l00170">PPMLoader::init_image()</a>, <a class="el" href="utils_2_utils_8h_source.xhtml#l00159">PPMLoader::is_open()</a>, <a class="el" href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9a7f5ccbc3d30c2cd3fd04d567946cbde2">arm_compute::NEAREST_NEIGHBOR</a>, <a class="el" href="utils_2_utils_8h_source.xhtml#l00139">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="utils_2_utils_8h_source.xhtml#l00281">arm_compute::utils::save_to_ppm()</a>, <a class="el" href="_c_p_p_2_scale_8cpp_source.xhtml#l00039">arm_compute::test::validation::reference::scale()</a>, <a class="el" href="_c_l_scheduler_8h_source.xhtml#l00148">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#l00114">main()</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml">PPMLoader</a> ppm;</div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <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="l00041"></a><span class="lineno"> 41</span>  constexpr <span class="keywordtype">int</span> scale_factor = 2;</div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  CLScheduler::get().default_init();</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">if</span>(argc < 2)</div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="comment">// Print help</span></div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  std::cout << <span class="stringliteral">"Usage: ./build/cl_events [input_image.ppm]\n\n"</span>;</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  std::cout << <span class="stringliteral">"No input_image provided, creating a dummy 640x480 image\n"</span>;</div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="comment">// Create an empty grayscale 640x480 image</span></div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  src.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-><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="l00052"></a><span class="lineno"> 52</span>  }</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  {</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  ppm.<a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a36e58f3e64f3851ebac7a9556b4704ed">open</a>(argv[1]);</div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  ppm.<a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a69f2a0e263d4f77d1e166de9cd2746f7">init_image</a>(src, Format::U8);</div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  }</div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">// Declare and configure the functions to create the following pipeline: scale -> median -> gauss</span></div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="classarm__compute_1_1_c_l_scale.xhtml">CLScale</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2c08fc82f2e4b9733cd0dacd6eabe579">scale</a>;</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="classarm__compute_1_1_c_l_median3x3.xhtml">CLMedian3x3</a> median;</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="classarm__compute_1_1_c_l_gaussian5x5.xhtml">CLGaussian5x5</a> gauss;</div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <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>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97">dimension</a>(0) / scale_factor, src.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97">dimension</a>(1) / scale_factor, Format::U8);</div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="comment">// Configure the temporary and destination images</span></div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  dst.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">init</a>(dst_info);</div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  tmp_scale_median.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">init</a>(dst_info);</div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  tmp_median_gauss.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">init</a>(dst_info);</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="comment">//Configure the functions:</span></div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  scale.<a class="code" href="classarm__compute_1_1_c_l_scale.xhtml#a678879757617483da15b34c7b9d58279">configure</a>(&src, &tmp_scale_median, InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::REPLICATE);</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  median.<a class="code" href="classarm__compute_1_1_c_l_median3x3.xhtml#a2a829a721f585b9028e9712e71698e69">configure</a>(&tmp_scale_median, &tmp_median_gauss, BorderMode::REPLICATE);</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  gauss.<a class="code" href="classarm__compute_1_1_c_l_gaussian5x5.xhtml#a2a829a721f585b9028e9712e71698e69">configure</a>(&tmp_median_gauss, &dst, BorderMode::REPLICATE);</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="comment">// Allocate all the images</span></div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  src.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-><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>  dst.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">allocate</a>();</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  tmp_scale_median.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">allocate</a>();</div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  tmp_median_gauss.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">allocate</a>();</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <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="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">if</span>(ppm.<a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">is_open</a>())</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  {</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  ppm.<a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a1672610b872bef30d0dc2333a0ffc402">fill_image</a>(src);</div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  }</div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="comment">// Enqueue and flush the scale OpenCL kernel:</span></div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  scale.<a class="code" href="classarm__compute_1_1_i_c_l_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">run</a>();</div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="comment">// Create a synchronisation event between scale and median:</span></div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  cl::Event scale_event = CLScheduler::get().enqueue_sync_event();</div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="comment">// Enqueue and flush the median OpenCL kernel:</span></div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  median.<a class="code" href="classarm__compute_1_1_i_c_l_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">run</a>();</div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="comment">// Enqueue and flush the Gaussian OpenCL kernel:</span></div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  gauss.<a class="code" href="classarm__compute_1_1_c_l_gaussian5x5.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>();</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">//Make sure all the OpenCL jobs are done executing:</span></div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  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="l00098"></a><span class="lineno"> 98</span>  CLScheduler::get().sync(); <span class="comment">// Block until Gaussian5x5 is done executing</span></div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="comment">// Save the result to file:</span></div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">if</span>(ppm.<a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">is_open</a>())</div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  {</div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keyword">const</span> std::string output_filename = std::string(argv[1]) + <span class="stringliteral">"_out.ppm"</span>;</div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a301d0b7bfd70f73fc1924f4281938d08">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="l00105"></a><span class="lineno"> 105</span>  }</div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span> }</div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_a1672610b872bef30d0dc2333a0ffc402"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a1672610b872bef30d0dc2333a0ffc402">arm_compute::utils::PPMLoader::fill_image</a></div><div class="ttdeci">void fill_image(T &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="utils_2_utils_8h_source.xhtml#l00187">Utils.h:187</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a301d0b7bfd70f73fc1924f4281938d08"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a301d0b7bfd70f73fc1924f4281938d08">arm_compute::utils::save_to_ppm</a></div><div class="ttdeci">void save_to_ppm(T &tensor, const std::string &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="utils_2_utils_8h_source.xhtml#l00281">Utils.h:281</a></div></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's source, destinations and border mode. </div></div> |
| <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's allocator. </div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a8813441b655b97c00139c6a5a6390e97"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97">arm_compute::TensorInfo::dimension</a></div><div class="ttdeci">size_t dimension(size_t index) const override</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#l00210">TensorInfo.h:210</a></div></div> |
| <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's metadata. </div></div> |
| <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> |
| <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> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_a36e58f3e64f3851ebac7a9556b4704ed"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a36e58f3e64f3851ebac7a9556b4704ed">arm_compute::utils::PPMLoader::open</a></div><div class="ttdeci">void open(const std::string &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="utils_2_utils_8h_source.xhtml#l00139">Utils.h:139</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_a2f57f54d8c03b615bb31eee091d8a88a"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">arm_compute::utils::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="utils_2_utils_8h_source.xhtml#l00159">Utils.h:159</a></div></div> |
| <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> |
| <div class="ttc" id="classarm__compute_1_1_c_l_scale_xhtml_a678879757617483da15b34c7b9d58279"><div class="ttname"><a href="classarm__compute_1_1_c_l_scale.xhtml#a678879757617483da15b34c7b9d58279">arm_compute::CLScale::configure</a></div><div class="ttdeci">void configure(ICLTensor *input, ICLTensor *output, InterpolationPolicy policy, BorderMode border_mode, PixelValue constant_border_value=PixelValue())</div><div class="ttdoc">Initialize the function's source, destination, interpolation type and border_mode. </div></div> |
| <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's source, destinations and border mode. </div></div> |
| <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#l00049">CLGaussian5x5.h:49</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 &input)</div><div class="ttdoc">Initialize a tensor based on the passed TensorInfo. </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's metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00042">TensorInfo.h:42</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a2c08fc82f2e4b9733cd0dacd6eabe579"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2c08fc82f2e4b9733cd0dacd6eabe579">arm_compute::test::validation::reference::scale</a></div><div class="ttdeci">SimpleTensor< T > scale(const SimpleTensor< T > &in, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, T constant_border_value)</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_scale_8cpp_source.xhtml#l00039">Scale.cpp:39</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_a69f2a0e263d4f77d1e166de9cd2746f7"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a69f2a0e263d4f77d1e166de9cd2746f7">arm_compute::utils::PPMLoader::init_image</a></div><div class="ttdeci">void init_image(T &image, arm_compute::Format format)</div><div class="ttdoc">Initialise an image's metadata with the dimensions of the PPM file currently open. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00170">Utils.h:170</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_1utils_1_1_p_p_m_loader_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml">arm_compute::utils::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="utils_2_utils_8h_source.xhtml#l00128">Utils.h:128</a></div></div> |
| <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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