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<div class="title">neon_convolution.cpp</div> </div>
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<div class="contents">
-<a href="neon__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, 2018 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"> 24</span> <span class="preprocessor">#include "<a class="code" href="_n_e_functions_8h.xhtml">arm_compute/runtime/NEON/NEFunctions.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</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="l00027"></a><span class="lineno"> 27</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="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a>;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">using namespace </span>utils;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="neon__convolution_8cpp.xhtml#a741ba5321da40184f8653e0a50ace070"> 34</a></span> <span class="keyword">const</span> int16_t <a class="code" href="neon__convolution_8cpp.xhtml#a741ba5321da40184f8653e0a50ace070">gaussian3x3</a>[] =</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  1, 2, 1,</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  2, 4, 2,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  1, 2, 1</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> };</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="neon__convolution_8cpp.xhtml#a565013cf7e49a591bacd548571951f94"> 43</a></span> <span class="keyword">const</span> int16_t <a class="code" href="neon__convolution_8cpp.xhtml#a565013cf7e49a591bacd548571951f94">gaussian5x5</a>[] =</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>  1, 4, 6, 4, 1,</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  4, 16, 24, 16, 4,</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  6, 24, 36, 24, 6,</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  4, 16, 24, 16, 4,</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  1, 4, 6, 4, 1</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> };</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> <span class="keyword">class </span>NEONConvolutionExample : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1utils_1_1_example.xhtml">Example</a></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordtype">void</span> do_setup(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)<span class="keyword"> override</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="keyword"> </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> </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/neon_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">// Initialize just the dimensions and format of your buffers:</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>.allocator()->init(<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>  <span class="comment">// Initialize just the dimensions and format of your buffers:</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  ppm.<a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a69f2a0e263d4f77d1e166de9cd2746f7">init_image</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">Format::U8</a>);</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> </div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="comment">// Initialize just the dimensions and format of the temporary and destination images:</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  tmp.allocator()->init(*<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>.info());</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.<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="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>.info());</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</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="l00080"></a><span class="lineno"> 80</span>  <span class="comment">// The function will automatically update the padding information inside input and output to match its requirements</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  conv3x3.configure(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, &tmp, <a class="code" href="neon__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="l00082"></a><span class="lineno"> 82</span>  conv5x5.configure(&tmp, &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, <a class="code" href="neon__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="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="comment">// Now that the padding requirements are known we can allocate the images:</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>.allocator()->allocate();</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  tmp.allocator()->allocate();</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.<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> </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>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  output_filename = std::string(argv[1]) + <span class="stringliteral">"_out.ppm"</span>;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  }</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>  <span class="keywordtype">void</span> do_run()<span class="keyword"> override</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="comment">//Execute the functions:</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  conv3x3.run();</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  conv5x5.run();</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="keywordtype">void</span> do_teardown()<span class="keyword"> override</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="keyword"> </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>(!output_filename.empty())</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>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a301d0b7bfd70f73fc1924f4281938d08">save_to_ppm</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, output_filename); <span class="comment">// save_to_ppm maps and unmaps the image to store as PPM</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</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="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>{}, tmp{}, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>{};</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution3x3.xhtml">NEConvolution3x3</a> conv3x3{};</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution_square.xhtml">NEConvolution5x5</a> conv5x5{};</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  std::string output_filename{};</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> };</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="neon__convolution_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627"> 124</a></span> <span class="keywordtype">int</span> <a class="code" href="neon__convolution_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627">main</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> {</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">return</span> utils::run_example<NEONConvolutionExample>(argc, argv);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</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#l00312">Utils.h:312</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#l00655">Utils.h:655</a></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>
+<a href="neon__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, 2018 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"> 24</span> <span class="preprocessor">#include "<a class="code" href="_n_e_functions_8h.xhtml">arm_compute/runtime/NEON/NEFunctions.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</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="l00027"></a><span class="lineno"> 27</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="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a>;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">using namespace </span>utils;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="neon__convolution_8cpp.xhtml#a741ba5321da40184f8653e0a50ace070"> 34</a></span> <span class="keyword">const</span> int16_t <a class="code" href="neon__convolution_8cpp.xhtml#a741ba5321da40184f8653e0a50ace070">gaussian3x3</a>[] =</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  1, 2, 1,</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  2, 4, 2,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  1, 2, 1</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> };</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="neon__convolution_8cpp.xhtml#a565013cf7e49a591bacd548571951f94"> 43</a></span> <span class="keyword">const</span> int16_t <a class="code" href="neon__convolution_8cpp.xhtml#a565013cf7e49a591bacd548571951f94">gaussian5x5</a>[] =</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>  1, 4, 6, 4, 1,</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  4, 16, 24, 16, 4,</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  6, 24, 36, 24, 6,</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  4, 16, 24, 16, 4,</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  1, 4, 6, 4, 1</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> };</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> <span class="keyword">class </span>NEONConvolutionExample : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1utils_1_1_example.xhtml">Example</a></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordtype">void</span> do_setup(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)<span class="keyword"> override</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="keyword"> </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> </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/neon_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">// Initialize just the dimensions and format of your buffers:</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>.allocator()->init(<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>  <span class="comment">// Initialize just the dimensions and format of your buffers:</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  ppm.<a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a69f2a0e263d4f77d1e166de9cd2746f7">init_image</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">Format::U8</a>);</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> </div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="comment">// Initialize just the dimensions and format of the temporary and destination images:</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  tmp.allocator()->init(*<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>.info());</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a256b18d4e6fdbbff14937b4b9089bdd3">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">init</a>(*<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>.info());</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</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="l00080"></a><span class="lineno"> 80</span>  <span class="comment">// The function will automatically update the padding information inside input and output to match its requirements</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  conv3x3.configure(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, &tmp, <a class="code" href="neon__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="l00082"></a><span class="lineno"> 82</span>  conv5x5.configure(&tmp, &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, <a class="code" href="neon__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="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="comment">// Now that the padding requirements are known we can allocate the images:</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>.allocator()->allocate();</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  tmp.allocator()->allocate();</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a256b18d4e6fdbbff14937b4b9089bdd3">allocator</a>()-><a class="code" href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">allocate</a>();</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </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>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  output_filename = std::string(argv[1]) + <span class="stringliteral">"_out.ppm"</span>;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  }</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>  <span class="keywordtype">void</span> do_run()<span class="keyword"> override</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="comment">//Execute the functions:</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  conv3x3.run();</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  conv5x5.run();</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="keywordtype">void</span> do_teardown()<span class="keyword"> override</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="keyword"> </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>(!output_filename.empty())</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>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a301d0b7bfd70f73fc1924f4281938d08">save_to_ppm</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, output_filename); <span class="comment">// save_to_ppm maps and unmaps the image to store as PPM</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</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="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>{}, tmp{}, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>{};</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution3x3.xhtml">NEConvolution3x3</a> conv3x3{};</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution_square.xhtml">NEConvolution5x5</a> conv5x5{};</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  std::string output_filename{};</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> };</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="neon__convolution_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627"> 124</a></span> <span class="keywordtype">int</span> <a class="code" href="neon__convolution_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627">main</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> {</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">return</span> utils::run_example<NEONConvolutionExample>(argc, argv);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> }</div><div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a256b18d4e6fdbbff14937b4b9089bdd3"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a256b18d4e6fdbbff14937b4b9089bdd3">arm_compute::CLTensor::allocator</a></div><div class="ttdeci">CLTensorAllocator * allocator()</div><div class="ttdoc">Return a pointer to the tensor&#39;s allocator. </div></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#l00318">Utils.h:318</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#l00682">Utils.h:682</a></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">1 channel, 1 U8 per channel </div></div>
<div class="ttc" id="_n_e_functions_8h_xhtml"><div class="ttname"><a href="_n_e_functions_8h.xhtml">NEFunctions.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</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#l00264">Utils.h:264</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#l00270">Utils.h:270</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_square_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_square.xhtml">arm_compute::NEConvolutionSquare</a></div><div class="ttdoc">Basic function to execute convolution of size 5x5, 7x7, 9x9. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_8h_source.xhtml#l00072">NEConvolution.h:72</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution3x3_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution3x3.xhtml">arm_compute::NEConvolution3x3</a></div><div class="ttdoc">Basic function to execute convolution of size 3x3. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_8h_source.xhtml#l00049">NEConvolution.h:49</a></div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_example_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_example.xhtml">arm_compute::utils::Example</a></div><div class="ttdoc">Abstract Example class. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00062">Utils.h:62</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#l00284">Utils.h:284</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#l00290">Utils.h:290</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00137">Convolution.cpp:137</a></div></div>
<div class="ttc" id="neon__convolution_8cpp_xhtml_a565013cf7e49a591bacd548571951f94"><div class="ttname"><a href="neon__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="neon__convolution_8cpp_source.xhtml#l00043">neon_convolution.cpp:43</a></div></div>
-<div class="ttc" id="struct_image_xhtml"><div class="ttname"><a href="struct_image.xhtml">Image</a></div><div class="ttdoc">Structure to hold Image information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00140">helpers.h:140</a></div></div>
+<div class="ttc" id="struct_image_xhtml"><div class="ttname"><a href="struct_image.xhtml">Image</a></div><div class="ttdoc">Structure to hold Image information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00142">helpers.h:142</a></div></div>
<div class="ttc" id="neon__convolution_8cpp_xhtml_a3c04138a5bfe5d72780bb7e82a18e627"><div class="ttname"><a href="neon__convolution_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627">main</a></div><div class="ttdeci">int main(int argc, char **argv)</div><div class="ttdoc">Main program for convolution test. </div><div class="ttdef"><b>Definition:</b> <a href="neon__convolution_8cpp_source.xhtml#l00124">neon_convolution.cpp:124</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_tensor_allocator_xhtml_a6e509c2a177b0b29e9e2369535094dee"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">arm_compute::CLTensorAllocator::allocate</a></div><div class="ttdeci">void allocate() override</div><div class="ttdoc">Allocate size specified by TensorInfo of OpenCL memory. </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#l00044">TensorInfo.h:44</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&#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00045">TensorInfo.h:45</a></div></div>
<div class="ttc" id="neon__convolution_8cpp_xhtml_a741ba5321da40184f8653e0a50ace070"><div class="ttname"><a href="neon__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="neon__convolution_8cpp_source.xhtml#l00034">neon_convolution.cpp:34</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#l00295">Utils.h:295</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#l00301">Utils.h:301</a></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="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure & src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</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#l00253">Utils.h:253</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#l00259">Utils.h:259</a></div></div>
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<li class="navelem"><a class="el" href="dir_d28a4824dc47e487b107a5db32ef43c4.xhtml">examples</a></li><li class="navelem"><a class="el" href="neon__convolution_8cpp.xhtml">neon_convolution.cpp</a></li>
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<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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