arm_compute v17.04

[platform/upstream/armcl.git] / documentation / cl__convolution_8cpp.xhtml

diff --git a/documentation/cl__convolution_8cpp.xhtml b/documentation/cl__convolution_8cpp.xhtml
index 54e5f7d..3ee8704 100644 (file)
--- a/documentation/cl__convolution_8cpp.xhtml
+++ b/documentation/cl__convolution_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>
@@ -198,11 +198,11 @@ Variables</h2></td></tr>
   </dd>
 </dl>
 
-<p>Definition at line <a class="el" href="cl__convolution_8cpp_source.xhtml#l00114">114</a> of file <a class="el" href="cl__convolution_8cpp_source.xhtml">cl_convolution.cpp</a>.</p>
+<p>Definition at line <a class="el" href="cl__convolution_8cpp_source.xhtml#l00115">115</a> of file <a class="el" href="cl__convolution_8cpp_source.xhtml">cl_convolution.cpp</a>.</p>
 
-<p>References <a class="el" href="cl__convolution_8cpp_source.xhtml#l00053">main_cl_convolution()</a>, and <a class="el" href="_utils_8cpp_source.xhtml#l00064">test_helpers::run_example()</a>.</p>
-<div class="fragment"><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;{</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacetest__helpers.xhtml#a4c9395db2c8b8d0c336656a7b58fca3e">test_helpers::run_example</a>(argc, argv, <a class="code" href="cl__convolution_8cpp.xhtml#a63683d6451d68be4415ea2a694b350e7">main_cl_convolution</a>);</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;}</div><div class="ttc" id="cl__convolution_8cpp_xhtml_a63683d6451d68be4415ea2a694b350e7"><div class="ttname"><a href="cl__convolution_8cpp.xhtml#a63683d6451d68be4415ea2a694b350e7">main_cl_convolution</a></div><div class="ttdeci">void main_cl_convolution(int argc, const char **argv)</div><div class="ttdef"><b>Definition:</b> <a href="cl__convolution_8cpp_source.xhtml#l00053">cl_convolution.cpp:53</a></div></div>
-<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__convolution_8cpp_source.xhtml#l00053">main_cl_convolution()</a>, and <a class="el" href="_utils_8cpp_source.xhtml#l00065">test_helpers::run_example()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;{</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacetest__helpers.xhtml#a4c9395db2c8b8d0c336656a7b58fca3e">test_helpers::run_example</a>(argc, argv, <a class="code" href="cl__convolution_8cpp.xhtml#a63683d6451d68be4415ea2a694b350e7">main_cl_convolution</a>);</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;}</div><div class="ttc" id="cl__convolution_8cpp_xhtml_a63683d6451d68be4415ea2a694b350e7"><div class="ttname"><a href="cl__convolution_8cpp.xhtml#a63683d6451d68be4415ea2a694b350e7">main_cl_convolution</a></div><div class="ttdeci">void main_cl_convolution(int argc, const char **argv)</div><div class="ttdef"><b>Definition:</b> <a href="cl__convolution_8cpp_source.xhtml#l00053">cl_convolution.cpp:53</a></div></div>
+<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>
@@ -232,9 +232,9 @@ Variables</h2></td></tr>
 
 <p>Definition at line <a class="el" href="cl__convolution_8cpp_source.xhtml#l00053">53</a> of file <a class="el" href="cl__convolution_8cpp_source.xhtml">cl_convolution.cpp</a>.</p>
 
-<p>References <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">ITensorAllocator::allocate()</a>, <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">CLTensor::allocator()</a>, <a class="el" href="classarm__compute_1_1_c_l_convolution3x3.xhtml#a26e1b4686b1f2d591d62d11585114a82">CLConvolution3x3::configure()</a>, <a class="el" href="classarm__compute_1_1_c_l_convolution_square.xhtml#a26e1b4686b1f2d591d62d11585114a82">CLConvolutionSquare&lt; matrix_size &gt;::configure()</a>, <a class="el" href="_c_l_scheduler_8h_source.xhtml#l00050">CLScheduler::default_init()</a>, <a class="el" href="test__helpers_2_utils_8h_source.xhtml#l00142">PPMLoader::fill_image()</a>, <a class="el" href="cl__convolution_8cpp_source.xhtml#l00035">gaussian3x3</a>, <a class="el" href="cl__convolution_8cpp_source.xhtml#l00044">gaussian5x5</a>, <a class="el" href="classarm__compute_1_1_c_l_scheduler.xhtml#a60f9a6836b628a7171914c4afe43b4a7">CLScheduler::get()</a>, <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">CLTensor::info()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">ITensorAllocator::init()</a>, <a class="el" href="test__helpers_2_utils_8h_source.xhtml#l00125">PPMLoader::init_image()</a>, <a class="el" href="test__helpers_2_utils_8h_source.xhtml#l00114">PPMLoader::is_open()</a>, <a class="el" href="test__helpers_2_utils_8h_source.xhtml#l00094">PPMLoader::open()</a>, <a class="el" href="classarm__compute_1_1_i_c_l_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">ICLSimpleFunction::run()</a>, <a class="el" href="classarm__compute_1_1_c_l_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb">CLConvolutionSquare&lt; matrix_size &gt;::run()</a>, <a class="el" href="test__helpers_2_utils_8h_source.xhtml#l00241">test_helpers::save_to_ppm()</a>, <a class="el" href="_c_l_scheduler_8h_source.xhtml#l00110">CLScheduler::sync()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::U8</a>, and <a class="el" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a0db45d2a4141101bdfe48e3314cfbca3">arm_compute::UNDEFINED</a>.</p>
+<p>References <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">ITensorAllocator::allocate()</a>, <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">CLTensor::allocator()</a>, <a class="el" href="classarm__compute_1_1_c_l_convolution3x3.xhtml#a26e1b4686b1f2d591d62d11585114a82">CLConvolution3x3::configure()</a>, <a class="el" href="classarm__compute_1_1_c_l_convolution_square.xhtml#a26e1b4686b1f2d591d62d11585114a82">CLConvolutionSquare&lt; matrix_size &gt;::configure()</a>, <a class="el" href="_c_l_scheduler_8h_source.xhtml#l00050">CLScheduler::default_init()</a>, <a class="el" href="test__helpers_2_utils_8h_source.xhtml#l00142">PPMLoader::fill_image()</a>, <a class="el" href="cl__convolution_8cpp_source.xhtml#l00035">gaussian3x3</a>, <a class="el" href="cl__convolution_8cpp_source.xhtml#l00044">gaussian5x5</a>, <a class="el" href="classarm__compute_1_1_c_l_scheduler.xhtml#a60f9a6836b628a7171914c4afe43b4a7">CLScheduler::get()</a>, <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">CLTensor::info()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">ITensorAllocator::init()</a>, <a class="el" href="test__helpers_2_utils_8h_source.xhtml#l00125">PPMLoader::init_image()</a>, <a class="el" href="test__helpers_2_utils_8h_source.xhtml#l00114">PPMLoader::is_open()</a>, <a class="el" href="test__helpers_2_utils_8h_source.xhtml#l00094">PPMLoader::open()</a>, <a class="el" href="classarm__compute_1_1_i_c_l_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">ICLSimpleFunction::run()</a>, <a class="el" href="classarm__compute_1_1_c_l_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb">CLConvolutionSquare&lt; matrix_size &gt;::run()</a>, <a class="el" href="test__helpers_2_utils_8h_source.xhtml#l00245">test_helpers::save_to_ppm()</a>, <a class="el" href="_c_l_scheduler_8h_source.xhtml#l00110">CLScheduler::sync()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::U8</a>, and <a class="el" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a0db45d2a4141101bdfe48e3314cfbca3">arm_compute::UNDEFINED</a>.</p>
 
-<p>Referenced by <a class="el" href="cl__convolution_8cpp_source.xhtml#l00114">main()</a>.</p>
+<p>Referenced by <a class="el" href="cl__convolution_8cpp_source.xhtml#l00115">main()</a>.</p>
 <div class="fragment"><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;{</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    <a class="code" href="classtest__helpers_1_1_p_p_m_loader.xhtml">PPMLoader</a> ppm;</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLImage</a>   src, tmp, dst;</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    CLScheduler::get().default_init();</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    <span class="keywordflow">if</span>(argc &lt; 2)</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    {</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;        <span class="comment">// Print help</span></div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;        std::cout &lt;&lt; <span class="stringliteral">&quot;Usage: ./build/cl_convolution [input_image.ppm]\n\n&quot;</span>;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;        std::cout &lt;&lt; <span class="stringliteral">&quot;No input_image provided, creating a dummy 640x480 image\n&quot;</span>;</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;        <span class="comment">// Create an empty grayscale 640x480 image</span></div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;        src.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">init</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(640, 480, Format::U8));</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    }</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <span class="keywordflow">else</span></div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    {</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;        ppm.<a class="code" href="classtest__helpers_1_1_p_p_m_loader.xhtml#a36e58f3e64f3851ebac7a9556b4704ed">open</a>(argv[1]);</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;        ppm.<a class="code" href="classtest__helpers_1_1_p_p_m_loader.xhtml#a283b961e6ca7b117b106c8710c7cfe81">init_image</a>(src, Format::U8);</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    }</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    <span class="comment">// Configure the temporary and destination images</span></div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    tmp.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">init</a>(*src.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>());</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    dst.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">init</a>(*src.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>());</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_convolution3x3.xhtml">CLConvolution3x3</a> conv3x3;</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_convolution_square.xhtml">CLConvolution5x5</a> conv5x5;</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    <span class="comment">// Apply a Gaussian 3x3 filter to the source image followed by a Gaussian 5x5:</span></div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    conv3x3.<a class="code" href="classarm__compute_1_1_c_l_convolution3x3.xhtml#a26e1b4686b1f2d591d62d11585114a82">configure</a>(&amp;src, &amp;tmp, <a class="code" href="cl__convolution_8cpp.xhtml#a741ba5321da40184f8653e0a50ace070">gaussian3x3</a>, 0 <span class="comment">/* Let arm_compute calculate the scale */</span>, BorderMode::UNDEFINED);</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    conv5x5.<a class="code" href="classarm__compute_1_1_c_l_convolution_square.xhtml#a26e1b4686b1f2d591d62d11585114a82">configure</a>(&amp;tmp, &amp;dst, <a class="code" href="cl__convolution_8cpp.xhtml#a565013cf7e49a591bacd548571951f94">gaussian5x5</a>, 0 <span class="comment">/* Let arm_compute calculate the scale */</span>, BorderMode::UNDEFINED);</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <span class="comment">// Allocate all the images</span></div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    src.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">allocate</a>();</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    tmp.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">allocate</a>();</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    dst.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">allocate</a>();</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    <span class="comment">// Fill the input image with the content of the PPM image if a filename was provided:</span></div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    <span class="keywordflow">if</span>(ppm.<a class="code" href="classtest__helpers_1_1_p_p_m_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">is_open</a>())</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    {</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;        ppm.<a class="code" href="classtest__helpers_1_1_p_p_m_loader.xhtml#a1672610b872bef30d0dc2333a0ffc402">fill_image</a>(src);</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    }</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    <span class="comment">// Execute the functions:</span></div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    conv3x3.<a class="code" href="classarm__compute_1_1_i_c_l_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">run</a>();</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    conv5x5.<a class="code" href="classarm__compute_1_1_c_l_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>();</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    <span class="comment">// Make sure all the OpenCL jobs are done executing:</span></div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    CLScheduler::get().sync();</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    <span class="comment">// Save the result to file:</span></div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    <span class="keywordflow">if</span>(ppm.<a class="code" href="classtest__helpers_1_1_p_p_m_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">is_open</a>())</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    {</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;        <span class="keyword">const</span> std::string output_filename = std::string(argv[1]) + <span class="stringliteral">&quot;_out.ppm&quot;</span>;</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;        <a class="code" href="namespacetest__helpers.xhtml#a5036a1b77bd7223a68954b5078c6545a">save_to_ppm</a>(dst, output_filename); <span class="comment">// save_to_ppm maps and unmaps the image to store as PPM</span></div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    }</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1_c_l_convolution3x3_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution3x3.xhtml">arm_compute::CLConvolution3x3</a></div><div class="ttdoc">Basic function to execute convolution of size 3x3. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_convolution_8h_source.xhtml#l00046">CLConvolution.h:46</a></div></div>
 <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>
 <div class="ttc" id="classarm__compute_1_1_c_l_convolution_square_xhtml_a26e1b4686b1f2d591d62d11585114a82"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_square.xhtml#a26e1b4686b1f2d591d62d11585114a82">arm_compute::CLConvolutionSquare::configure</a></div><div class="ttdeci">void configure(ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value=0)</div><div class="ttdoc">Initialize the function&amp;#39;s source, destination, conv and border_mode. </div></div>
@@ -251,7 +251,7 @@ Variables</h2></td></tr>
 <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_c_l_convolution3x3_xhtml_a26e1b4686b1f2d591d62d11585114a82"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution3x3.xhtml#a26e1b4686b1f2d591d62d11585114a82">arm_compute::CLConvolution3x3::configure</a></div><div class="ttdeci">void configure(ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value=0)</div><div class="ttdoc">Initialize the function&amp;#39;s source, destination, conv and border_mode. </div></div>
 <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_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>
@@ -301,7 +301,7 @@ Variables</h2></td></tr>
 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
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     <li class="navelem"><a class="el" href="dir_d28a4824dc47e487b107a5db32ef43c4.xhtml">examples</a></li><li class="navelem"><a class="el" href="cl__convolution_8cpp.xhtml">cl_convolution.cpp</a></li>
-    <li class="footer">Generated on Fri Mar 24 2017 17:23:50 for ARM Compute Library by
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     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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