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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__convolution_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:a63683d6451d68be4415ea2a694b350e7"><td class="memItemLeft" align="right" valign="top">void </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> |
| <tr class="separator:a63683d6451d68be4415ea2a694b350e7"><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__convolution_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> |
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| Variables</h2></td></tr> |
| <tr class="memitem:a741ba5321da40184f8653e0a50ace070"><td class="memItemLeft" align="right" valign="top">const int16_t </td><td class="memItemRight" valign="bottom"><a class="el" href="cl__convolution_8cpp.xhtml#a741ba5321da40184f8653e0a50ace070">gaussian3x3</a> []</td></tr> |
| <tr class="memdesc:a741ba5321da40184f8653e0a50ace070"><td class="mdescLeft"> </td><td class="mdescRight">Gaussian 3x3 matrix. <a href="#a741ba5321da40184f8653e0a50ace070">More...</a><br/></td></tr> |
| <tr class="separator:a741ba5321da40184f8653e0a50ace070"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a565013cf7e49a591bacd548571951f94"><td class="memItemLeft" align="right" valign="top">const int16_t </td><td class="memItemRight" valign="bottom"><a class="el" href="cl__convolution_8cpp.xhtml#a565013cf7e49a591bacd548571951f94">gaussian5x5</a> []</td></tr> |
| <tr class="memdesc:a565013cf7e49a591bacd548571951f94"><td class="mdescLeft"> </td><td class="mdescRight">Gaussian 5x5 matrix. <a href="#a565013cf7e49a591bacd548571951f94">More...</a><br/></td></tr> |
| <tr class="separator:a565013cf7e49a591bacd548571951f94"><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__convolution_8cpp_source.xhtml#l00118">118</a> of file <a class="el" href="cl__convolution_8cpp_source.xhtml">cl_convolution.cpp</a>.</p> |
| |
| <p>References <a class="el" href="cl__convolution_8cpp_source.xhtml#l00056">main_cl_convolution()</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="l00119"></a><span class="lineno"> 119</span> {</div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</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__convolution_8cpp.xhtml#a63683d6451d68be4415ea2a694b350e7">main_cl_convolution</a>);</div> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</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__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#l00056">cl_convolution.cpp:56</a></div></div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a class="anchor" id="a63683d6451d68be4415ea2a694b350e7"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void main_cl_convolution </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>Definition at line <a class="el" href="cl__convolution_8cpp_source.xhtml#l00056">56</a> of file <a class="el" href="cl__convolution_8cpp_source.xhtml">cl_convolution.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_convolution3x3.xhtml#a26e1b4686b1f2d591d62d11585114a82">CLConvolution3x3::configure()</a>, <a class="el" href="classarm__compute_1_1_c_l_convolution_square.xhtml#a26e1b4686b1f2d591d62d11585114a82">CLConvolutionSquare< matrix_size >::configure()</a>, <a class="el" href="_c_l_scheduler_8h_source.xhtml#l00061">CLScheduler::default_init()</a>, <a class="el" href="utils_2_utils_8h_source.xhtml#l00187">PPMLoader::fill_image()</a>, <a class="el" href="cl__convolution_8cpp_source.xhtml#l00038">gaussian3x3</a>, <a class="el" href="cl__convolution_8cpp_source.xhtml#l00047">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="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="utils_2_utils_8h_source.xhtml#l00139">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< matrix_size >::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_l_scheduler_8h_source.xhtml#l00148">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> |
| |
| <p>Referenced by <a class="el" href="cl__convolution_8cpp_source.xhtml#l00118">main()</a>.</p> |
| <div class="fragment"><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>  <a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml">PPMLoader</a> ppm;</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLImage</a> src, tmp, dst;</div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  CLScheduler::get().default_init();</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">if</span>(argc < 2)</div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  {</div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// Print help</span></div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  std::cout << <span class="stringliteral">"Usage: ./build/cl_convolution [input_image.ppm]\n\n"</span>;</div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  std::cout << <span class="stringliteral">"No input_image provided, creating a dummy 640x480 image\n"</span>;</div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="comment">// Create an empty grayscale 640x480 image</span></div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</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="l00070"></a><span class="lineno"> 70</span>  }</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  {</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</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="l00074"></a><span class="lineno"> 74</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="l00075"></a><span class="lineno"> 75</span>  }</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="comment">// Configure the temporary and destination images</span></div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  tmp.<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>(*src.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>());</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</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>(*src.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>());</div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="classarm__compute_1_1_c_l_convolution3x3.xhtml">CLConvolution3x3</a> conv3x3;</div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="classarm__compute_1_1_c_l_convolution_square.xhtml">CLConvolution5x5</a> conv5x5;</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>  <span class="comment">// Apply a Gaussian 3x3 filter to the source image followed by a Gaussian 5x5:</span></div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  conv3x3.<a class="code" href="classarm__compute_1_1_c_l_convolution3x3.xhtml#a26e1b4686b1f2d591d62d11585114a82">configure</a>(&src, &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="l00086"></a><span class="lineno"> 86</span>  conv5x5.<a class="code" href="classarm__compute_1_1_c_l_convolution_square.xhtml#a26e1b4686b1f2d591d62d11585114a82">configure</a>(&tmp, &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="l00087"></a><span class="lineno"> 87</span> </div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="comment">// Allocate all the images</span></div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</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="l00090"></a><span class="lineno"> 90</span>  tmp.<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="l00091"></a><span class="lineno"> 91</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="l00092"></a><span class="lineno"> 92</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="l00093"></a><span class="lineno"> 93</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="l00094"></a><span class="lineno"> 94</span>  {</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</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="l00096"></a><span class="lineno"> 96</span>  }</div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// Execute the functions:</span></div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  conv3x3.<a class="code" href="classarm__compute_1_1_i_c_l_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">run</a>();</div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  conv5x5.<a class="code" href="classarm__compute_1_1_c_l_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>();</div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="comment">// Make sure all the OpenCL jobs are done executing:</span></div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  CLScheduler::get().sync();</div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="comment">// Save the result to file:</span></div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</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="l00107"></a><span class="lineno"> 107</span>  {</div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</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="l00109"></a><span class="lineno"> 109</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="l00110"></a><span class="lineno"> 110</span>  }</div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</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_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#l00049">CLConvolution.h:49</a></div></div> |
| <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's source, destination, conv 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_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_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> |
| <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="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#l00047">cl_convolution.cpp:47</a></div></div> |
| <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#l00072">CLConvolution.h:72</a></div></div> |
| <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#l00038">cl_convolution.cpp:38</a></div></div> |
| <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's source, destination, conv and border_mode. </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="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> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <h2 class="groupheader">Variable Documentation</h2> |
| <a class="anchor" id="a741ba5321da40184f8653e0a50ace070"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">const int16_t gaussian3x3[]</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| <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 --> |
| <p>Gaussian 3x3 matrix. </p> |
| |
| <p>Definition at line <a class="el" href="cl__convolution_8cpp_source.xhtml#l00038">38</a> of file <a class="el" href="cl__convolution_8cpp_source.xhtml">cl_convolution.cpp</a>.</p> |
| |
| <p>Referenced by <a class="el" href="cl__convolution_8cpp_source.xhtml#l00056">main_cl_convolution()</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a565013cf7e49a591bacd548571951f94"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">const int16_t gaussian5x5[]</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| <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 --> |
| <p>Gaussian 5x5 matrix. </p> |
| |
| <p>Definition at line <a class="el" href="cl__convolution_8cpp_source.xhtml#l00047">47</a> of file <a class="el" href="cl__convolution_8cpp_source.xhtml">cl_convolution.cpp</a>.</p> |
| |
| <p>Referenced by <a class="el" href="cl__convolution_8cpp_source.xhtml#l00056">main_cl_convolution()</a>.</p> |
| |
| </div> |
| </div> |
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| <li class="navelem"><a class="el" href="dir_1253bad92dedae5edd993ead924afb7b.xhtml">examples</a></li><li class="navelem"><a class="el" href="cl__convolution_8cpp.xhtml">cl_convolution.cpp</a></li> |
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