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| <a href="cl__convolution_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2016, 2017 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"><a class="line" href="cl__convolution_8cpp.xhtml#a9915340d2c3c10c51e07994dde353f01"> 24</a></span> <span class="preprocessor">#define ARM_COMPUTE_CL </span><span class="comment">/* So that OpenCL exceptions get caught too */</span><span class="preprocessor"></span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>"</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="_c_l_functions_8h.xhtml">arm_compute/runtime/CL/CLFunctions.h</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_c_l_scheduler_8h.xhtml">arm_compute/runtime/CL/CLScheduler.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="utils_2_utils_8h.xhtml">utils/Utils.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a>;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">using namespace </span>utils;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="cl__convolution_8cpp.xhtml#a741ba5321da40184f8653e0a50ace070"> 35</a></span> <span class="keyword">const</span> int16_t <a class="code" href="cl__convolution_8cpp.xhtml#a741ba5321da40184f8653e0a50ace070">gaussian3x3</a>[] =</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  1, 2, 1,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  2, 4, 2,</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  1, 2, 1</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> };</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="cl__convolution_8cpp.xhtml#a565013cf7e49a591bacd548571951f94"> 44</a></span> <span class="keyword">const</span> int16_t <a class="code" href="cl__convolution_8cpp.xhtml#a565013cf7e49a591bacd548571951f94">gaussian5x5</a>[] =</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  1, 4, 6, 4, 1,</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  4, 16, 24, 16, 4,</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  6, 24, 36, 24, 6,</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  4, 16, 24, 16, 4,</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  1, 4, 6, 4, 1</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> };</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"><a class="line" href="cl__convolution_8cpp.xhtml#a63683d6451d68be4415ea2a694b350e7"> 53</a></span> <span class="keywordtype">void</span> <a class="code" href="cl__convolution_8cpp.xhtml#a63683d6451d68be4415ea2a694b350e7">main_cl_convolution</a>(<span class="keywordtype">int</span> argc, <span class="keyword">const</span> <span class="keywordtype">char</span> **argv)</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>  <a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml">PPMLoader</a> ppm;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <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> </div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a60f9a6836b628a7171914c4afe43b4a7">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a19bb5002a62b62e050e89c975f7b9fdf">default_init</a>();</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">if</span>(argc < 2)</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  {</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="comment">// Print help</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  std::cout << <span class="stringliteral">"Usage: ./build/cl_convolution [input_image.ppm]\n\n"</span>;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  std::cout << <span class="stringliteral">"No input_image provided, creating a dummy 640x480 image\n"</span>;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// Create an empty grayscale 640x480 image</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</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, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">Format::U8</a>));</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  }</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  {</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</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="l00071"></a><span class="lineno"> 71</span>  ppm.<a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a69f2a0e263d4f77d1e166de9cd2746f7">init_image</a>(src, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">Format::U8</a>);</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> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="comment">// Configure the temporary and destination images</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</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="l00076"></a><span class="lineno"> 76</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="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <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>  <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> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</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="l00082"></a><span class="lineno"> 82</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>, <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a0db45d2a4141101bdfe48e3314cfbca3">BorderMode::UNDEFINED</a>);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</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>, <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a0db45d2a4141101bdfe48e3314cfbca3">BorderMode::UNDEFINED</a>);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="comment">// Allocate all the images</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</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="l00087"></a><span class="lineno"> 87</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="l00088"></a><span class="lineno"> 88</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="l00089"></a><span class="lineno"> 89</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="l00090"></a><span class="lineno"> 90</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="l00091"></a><span class="lineno"> 91</span>  {</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</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="l00093"></a><span class="lineno"> 93</span>  }</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>  <span class="comment">// Execute the functions:</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</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="l00097"></a><span class="lineno"> 97</span>  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> </div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <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>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a60f9a6836b628a7171914c4afe43b4a7">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ad55f80ed3cd8b6c4f247763b747016af">sync</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">// Save the result to file:</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</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="l00104"></a><span class="lineno"> 104</span>  {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</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="l00106"></a><span class="lineno"> 106</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="l00107"></a><span class="lineno"> 107</span>  }</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> }</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="cl__convolution_8cpp.xhtml#a217dbf8b442f20279ea00b898af96f52"> 115</a></span> <span class="keywordtype">int</span> <a class="code" href="cl__convolution_8cpp.xhtml#a217dbf8b442f20279ea00b898af96f52">main</a>(<span class="keywordtype">int</span> argc, <span class="keyword">const</span> <span class="keywordtype">char</span> **argv)</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> {</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</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="l00118"></a><span class="lineno"> 118</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#l00142">Utils.h:142</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#l00245">Utils.h:245</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#l00046">CLConvolution.h:46</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&#39;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&#39;s allocator. </div></div> |
| <div class="ttc" id="utils_2_utils_8h_xhtml"><div class="ttname"><a href="utils_2_utils_8h.xhtml">Utils.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a></div><div class="ttdoc">Unknown image format. </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&#39;s metadata. </div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdef"><b>Definition:</b> <a href="01__library_8dox_source.xhtml#l00001">01_library.dox:1</a></div></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="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_1_c_l_scheduler_xhtml_a19bb5002a62b62e050e89c975f7b9fdf"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#a19bb5002a62b62e050e89c975f7b9fdf">arm_compute::CLScheduler::default_init</a></div><div class="ttdeci">void default_init()</div><div class="ttdoc">Initialises the context and command queue used by the scheduler to default values and sets a default ...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8h_source.xhtml#l00054">CLScheduler.h:54</a></div></div> |
| <div class="ttc" id="_c_l_scheduler_8h_xhtml"><div class="ttname"><a href="_c_l_scheduler_8h.xhtml">CLScheduler.h</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#l00094">Utils.h:94</a></div></div> |
| <div class="ttc" id="cl__convolution_8cpp_xhtml_a217dbf8b442f20279ea00b898af96f52"><div class="ttname"><a href="cl__convolution_8cpp.xhtml#a217dbf8b442f20279ea00b898af96f52">main</a></div><div class="ttdeci">int main(int argc, const char **argv)</div><div class="ttdoc">Main program for convolution test. </div><div class="ttdef"><b>Definition:</b> <a href="cl__convolution_8cpp_source.xhtml#l00115">cl_convolution.cpp:115</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_a60f9a6836b628a7171914c4afe43b4a7"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#a60f9a6836b628a7171914c4afe43b4a7">arm_compute::CLScheduler::get</a></div><div class="ttdeci">static CLScheduler & get()</div><div class="ttdoc">Access the scheduler singleton. </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#l00114">Utils.h:114</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_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="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#l00044">cl_convolution.cpp:44</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_ad55f80ed3cd8b6c4f247763b747016af"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#ad55f80ed3cd8b6c4f247763b747016af">arm_compute::CLScheduler::sync</a></div><div class="ttdeci">void sync()</div><div class="ttdoc">Blocks until all commands in the associated command queue have finished. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8h_source.xhtml#l00135">CLScheduler.h:135</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#l00069">CLConvolution.h:69</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#l00035">cl_convolution.cpp:35</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&#39;s source, destination, conv and border_mode. </div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a15a05537a472ee742404821851529327a0db45d2a4141101bdfe48e3314cfbca3"><div class="ttname"><a href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a0db45d2a4141101bdfe48e3314cfbca3">arm_compute::BorderMode::UNDEFINED</a></div><div class="ttdoc">Borders are left undefined. </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&#39;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&#39;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#l00125">Utils.h:125</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="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div> |
| <div class="ttc" id="_c_l_functions_8h_xhtml"><div class="ttname"><a href="_c_l_functions_8h.xhtml">CLFunctions.h</a></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#l00083">Utils.h:83</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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