arm_compute v19.11
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+<a href="graph__depthwiseconvolution_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) 2019 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="_graph_8h.xhtml">arm_compute/graph.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="_toolchain_support_8h.xhtml">support/ToolchainSupport.h</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> </div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_accessor_8h.xhtml">tests/NEON/Accessor.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_validation_8h.xhtml">tests/validation/Validation.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_depthwise_convolution_layer_8h.xhtml">tests/validation/reference/DepthwiseConvolutionLayer.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_permute_8h.xhtml">tests/validation/reference/Permute.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="_common_graph_options_8h.xhtml">utils/CommonGraphOptions.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="_graph_utils_8h.xhtml">utils/GraphUtils.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</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="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="_validate_example_8h.xhtml">ValidateExample.h</a>"</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include "<a class="code" href="graph__validate__utils_8h.xhtml">graph_validate_utils.h</a>"</span></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> <span class="preprocessor">#include <utility></span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1utils.xhtml">arm_compute::utils</a>;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1graph_1_1frontend.xhtml">arm_compute::graph::frontend</a>;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1graph__utils.xhtml">arm_compute::graph_utils</a>;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1graph.xhtml">arm_compute::graph</a>;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a>;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1test.xhtml">arm_compute::test</a>;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml">arm_compute::test::validation</a>;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> {<span class="comment"></span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment">/** Depthwise Convolution command line options used to configure the graph examples</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> *</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> * (Similar to common options)</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> * The options in this object get populated when "parse()" is called on the parser used to construct it.</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> * The expected workflow is:</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> *</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> * CommandLineParser parser;</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"> * CommonOptions options( parser );</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"> * parser.parse(argc, argv);</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment"> */</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="keyword">class </span>DepthConvolutionOptions final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1utils_1_1_common_graph_validate_options.xhtml">CommonGraphValidateOptions</a></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> {</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">explicit</span> DepthConvolutionOptions(<a class="code" href="classarm__compute_1_1utils_1_1_command_line_parser.xhtml">CommandLineParser</a> &<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>) noexcept</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  : <a class="code" href="classarm__compute_1_1utils_1_1_common_graph_validate_options.xhtml">CommonGraphValidateOptions</a>(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>),</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  width(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"width"</span>, 9)),</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  height(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"height"</span>, 9)),</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  channels(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"channels"</span>, 1)),</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  batch(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"batch"</span>, 1)),</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  weights_width(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"weights_width"</span>, 3)),</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  weights_height(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"weights_height"</span>, 3)),</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  padding_top(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"padding_top"</span>, 0)),</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  padding_left(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"padding_left"</span>, 0)),</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  padding_bottom(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"padding_bottom"</span>, 0)),</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  padding_right(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"padding_right"</span>, 0)),</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  stride_x(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"stride_x"</span>, 1)),</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  stride_y(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"stride_y"</span>, 1)),</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  padding_mode(),</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  conv_mode(),</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  depth_multiplier(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"depth_multiplier"</span>, 1)),</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a>(),</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<float></a>>(<span class="stringliteral">"scale"</span>, 1.0f)),</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"offset"</span>, 0)),</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  weights_scale(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<float></a>>(<span class="stringliteral">"weights_scale"</span>, 1.0f)),</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  weights_offset(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"weights_offset"</span>, 0)),</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  output_scale(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<float></a>>(<span class="stringliteral">"output_scale"</span>, 1.0f)),</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  output_offset(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"output_offset"</span>, 0)),</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  input_range_low(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<uint64_t></a>>(<span class="stringliteral">"input_range_low"</span>)),</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  input_range_high(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<uint64_t></a>>(<span class="stringliteral">"input_range_high"</span>)),</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  weights_range_low(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<uint64_t></a>>(<span class="stringliteral">"weights_range_low"</span>)),</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  weights_range_high(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<uint64_t></a>>(<span class="stringliteral">"weights_range_high"</span>)),</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  input_npy(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<std::string></a>>(<span class="stringliteral">"input_image"</span>)),</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  output_npy(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<std::string></a>>(<span class="stringliteral">"reference_image"</span>)),</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  weights_npy(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<std::string></a>>(<span class="stringliteral">"weights_npy"</span>)),</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  bias_npy(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<std::string></a>>(<span class="stringliteral">"bias_image"</span>))</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  {</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keyword">const</span> std::set<ConvolutionPaddingMode> available_padding_modes</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a52b975f9f11b484d21969f9a8fefb29da3ac705f2acd51a4613f9188c05c91d0d">ConvolutionPaddingMode::Valid</a>,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a52b975f9f11b484d21969f9a8fefb29dac90a13d8ec8fe53c6bb33fe10af6f2fe">ConvolutionPaddingMode::Same</a></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  };</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keyword">const</span> std::set<arm_compute::graph::DepthwiseConvolutionMethod> supported_convolution_methods</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  {</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa7a1920d61156abc05a60135aefe8bc67">arm_compute::graph::DepthwiseConvolutionMethod::Default</a>,</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa87dc825930f866018839a6374a5e68d2">arm_compute::graph::DepthwiseConvolutionMethod::GEMV</a>,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa3bb7b7f3f021a006e65111fc1d226938">arm_compute::graph::DepthwiseConvolutionMethod::Optimized3x3</a>,</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>  <span class="keyword">const</span> std::set<DataLayout> supported_data_layouts</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  {</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  };</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  padding_mode = <a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_enum_option.xhtml">EnumOption<ConvolutionPaddingMode></a>>(<span class="stringliteral">"padding_mode"</span>, available_padding_modes, <a class="code" href="namespacearm__compute_1_1utils.xhtml#a52b975f9f11b484d21969f9a8fefb29da3ac705f2acd51a4613f9188c05c91d0d">ConvolutionPaddingMode::Valid</a>);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  conv_mode = <a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_enum_option.xhtml">EnumOption<arm_compute::graph::DepthwiseConvolutionMethod></a>>(<span class="stringliteral">"convolution_method"</span>, supported_convolution_methods,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa7a1920d61156abc05a60135aefe8bc67">arm_compute::graph::DepthwiseConvolutionMethod::Default</a>);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a> = <a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_enum_option.xhtml">EnumOption<DataLayout></a>>(<span class="stringliteral">"layout"</span>, supported_data_layouts, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  padding_mode-><a class="code" href="classarm__compute_1_1utils_1_1_option.xhtml#a48a2672f362eeed9a3e93403f4d3de37">set_help</a>(<span class="stringliteral">"Set padding mode"</span>);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  width->set_help(<span class="stringliteral">"Set Input dimension width"</span>);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  height->set_help(<span class="stringliteral">"Set Input dimension height"</span>);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  channels->set_help(<span class="stringliteral">"Set Input dimension channels"</span>);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  batch->set_help(<span class="stringliteral">"Set Input dimension batch"</span>);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  weights_width->set_help(<span class="stringliteral">"Set weights_dimensions width"</span>);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  weights_height->set_help(<span class="stringliteral">"Set weights_dimensions height"</span>);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  padding_top->set_help(<span class="stringliteral">"Set padding top"</span>);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  padding_bottom->set_help(<span class="stringliteral">"Set padding bottom"</span>);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  padding_left->set_help(<span class="stringliteral">"Set padding left"</span>);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  padding_right->set_help(<span class="stringliteral">"Set padding right"</span>);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  stride_x->set_help(<span class="stringliteral">"Set padding stride x"</span>);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  stride_y->set_help(<span class="stringliteral">"Set padding stride y"</span>);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  conv_mode-><a class="code" href="classarm__compute_1_1utils_1_1_option.xhtml#a48a2672f362eeed9a3e93403f4d3de37">set_help</a>(<span class="stringliteral">"Set convolution method"</span>);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a>->set_help(<span class="stringliteral">"Data layout to use"</span>);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>->set_help(<span class="stringliteral">"Quantization scale from QASYMM8"</span>);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>->set_help(<span class="stringliteral">"Quantization offset from QASYMM8"</span>);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  output_scale->set_help(<span class="stringliteral">"Quantization scale from QASYMM8"</span>);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  output_offset->set_help(<span class="stringliteral">"Quantization offset from QASYMM8"</span>);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  input_npy->set_help(<span class="stringliteral">"Use input .npy instead"</span>);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  output_npy->set_help(<span class="stringliteral">"Use .npy as a reference"</span>);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  input_range_low->set_help(<span class="stringliteral">"Lower bound for input randomization range"</span>);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  input_range_high->set_help(<span class="stringliteral">"Lower bound for input randomization range"</span>);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  weights_scale->set_help(<span class="stringliteral">"Quantization scale from QASYMM8"</span>);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  weights_offset->set_help(<span class="stringliteral">"Quantization offset from QASYMM8"</span>);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  weights_range_low->set_help(<span class="stringliteral">"Lower bound for input randomization range"</span>);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  weights_range_high->set_help(<span class="stringliteral">"Lower bound for input randomization range"</span>);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  depth_multiplier->set_help(<span class="stringliteral">"Depth multiplier"</span>);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  }</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> <span class="comment"></span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="comment"> /** Fill out the supplied parameters with user supplied parameters</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> <span class="comment"> *</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> <span class="comment"> * @param[out] os Output stream.</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> <span class="comment"> * @param[in] common_params Example parameters to output</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <span class="comment"> *</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="comment"> * @return None.</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="comment"> */</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordtype">void</span> consume_parameters(<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml">ExampleParams</a> &common_params)</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a2474a5474cbff19523a51eb1de01cda4">width</a> = width->value();</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#ad12fc34ce789bce6c8a05d8a17138534">height</a> = height->value();</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#accc3b8fde7c3ba545f41521e46f42e4c">fm</a> = channels->value();</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#ad1793c1a8dd3db1a8c4e2d76eadf0036">batch</a> = batch->value();</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a> = <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>->value(), <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>->value());</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#aef1c0b2053bee947f72e999db335c84c">npy</a> = input_npy->value();</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a6e1311c23c64b1a05475e5de91d75429">range_low</a> = input_range_low->value();</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#af0b9179895ca471157ea7edb8f07ef18">range_high</a> = input_range_high->value();</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a2474a5474cbff19523a51eb1de01cda4">width</a> = weights_width->value();</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#ad12fc34ce789bce6c8a05d8a17138534">height</a> = weights_height->value();</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#aef1c0b2053bee947f72e999db335c84c">npy</a> = weights_npy->value();</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a6e1311c23c64b1a05475e5de91d75429">range_low</a> = weights_range_low->value();</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#af0b9179895ca471157ea7edb8f07ef18">range_high</a> = weights_range_high->value();</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a> = <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(weights_scale->value(), weights_offset->value());</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a2cf08508c0b5892468831a326739d95b">bias</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#aef1c0b2053bee947f72e999db335c84c">npy</a> = bias_npy->value();</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#ab6692d047db2f0c872e4dfc55f958533">output</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a> = <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(output_scale->value(), output_offset->value());</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#ab6692d047db2f0c872e4dfc55f958533">output</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#aef1c0b2053bee947f72e999db335c84c">npy</a> = output_npy->value();</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a6bc5bc347677882d4004e81b43d2ba1b">convolution</a>.<a class="code" href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#af95e133b6f176c39dda5a19abfeb052d">padding_mode</a> = padding_mode->value();</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a6bc5bc347677882d4004e81b43d2ba1b">convolution</a>.<a class="code" href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#aa6c55f2c9300c3ba619d7270b63fde74">padding_top</a> = padding_top->value();</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a6bc5bc347677882d4004e81b43d2ba1b">convolution</a>.<a class="code" href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#aa6d771cbcf870679140f742c5703d617">padding_bottom</a> = padding_bottom->value();</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a6bc5bc347677882d4004e81b43d2ba1b">convolution</a>.<a class="code" href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#af50219e3555b6a249b4f52ac5d61ba21">padding_left</a> = padding_left->value();</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a6bc5bc347677882d4004e81b43d2ba1b">convolution</a>.<a class="code" href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#a674e7b3c7f8aaf704f352704a5899a8e">padding_right</a> = padding_right->value();</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a6bc5bc347677882d4004e81b43d2ba1b">convolution</a>.<a class="code" href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#af2246dc6ff43e8b91817f211801be9d5">padding_stride_x</a> = stride_x->value();</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a6bc5bc347677882d4004e81b43d2ba1b">convolution</a>.<a class="code" href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#a2268d3b0d31e3e74d6e4cb7d7e9fae0e">padding_stride_y</a> = stride_y->value();</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a6bc5bc347677882d4004e81b43d2ba1b">convolution</a>.<a class="code" href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#ab65969d39b883173d7d0801893d51bc7">depth_multiplier</a> = depth_multiplier->value();</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> </div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a901f5f80dfec4ef700c14947ca8397c9">data_type</a> = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>->value();</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#aa56f0562febf49bc0e29a4257551191b">data_layout</a> = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a>->value();</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#acf9c4d06fdffc57621c91a2755f678ab">depth_convolution_method</a> = conv_mode-><a class="code" href="classarm__compute_1_1utils_1_1_enum_option.xhtml#ab5d906b55180c260032ce43d6c5d4d06">value</a>();</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  }</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordtype">void</span> print_parameters(::std::ostream &os, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml">ExampleParams</a> &common_params)<span class="keyword"> override</span></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  os << <span class="stringliteral">"Threads : "</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#ae5f124b6706064b8b8a507d1b8967ab8">common_params</a>.<a class="code" href="structarm__compute_1_1utils_1_1_framework_params.xhtml#a4f987a98d3e1221916748962e45399fe">threads</a> << std::endl;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  os << <span class="stringliteral">"Target : "</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#ae5f124b6706064b8b8a507d1b8967ab8">common_params</a>.<a class="code" href="structarm__compute_1_1utils_1_1_framework_params.xhtml#a29d9bc83bfba2fba21af47e575569dde">target</a> << std::endl;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  os << <span class="stringliteral">"Data type : "</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a901f5f80dfec4ef700c14947ca8397c9">data_type</a> << std::endl;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  os << <span class="stringliteral">"Input dimensions(X,Y, Channels, Batch) : ("</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a2474a5474cbff19523a51eb1de01cda4">width</a> << <span class="stringliteral">","</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#ad12fc34ce789bce6c8a05d8a17138534">height</a> << <span class="stringliteral">","</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#accc3b8fde7c3ba545f41521e46f42e4c">fm</a> << <span class="stringliteral">","</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#ad1793c1a8dd3db1a8c4e2d76eadf0036">batch</a> << <span class="stringliteral">")"</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  << std::endl;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  os << <span class="stringliteral">"Weight dimensions(X,Y, Channels(same as input)) : ("</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a2474a5474cbff19523a51eb1de01cda4">width</a> << <span class="stringliteral">","</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#ad12fc34ce789bce6c8a05d8a17138534">height</a> << <span class="stringliteral">","</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#accc3b8fde7c3ba545f41521e46f42e4c">fm</a> << <span class="stringliteral">","</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  << <span class="stringliteral">")"</span> << std::endl;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  os << <span class="stringliteral">"Padding(top, bottom, left, right) (stride x, stride y) : ("</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a6bc5bc347677882d4004e81b43d2ba1b">convolution</a>.<a class="code" href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#aa6c55f2c9300c3ba619d7270b63fde74">padding_top</a> << <span class="stringliteral">","</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a6bc5bc347677882d4004e81b43d2ba1b">convolution</a>.<a class="code" href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#aa6d771cbcf870679140f742c5703d617">padding_bottom</a> << <span class="stringliteral">","</span> <<</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a6bc5bc347677882d4004e81b43d2ba1b">convolution</a>.<a class="code" href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#af50219e3555b6a249b4f52ac5d61ba21">padding_left</a> << <span class="stringliteral">","</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a6bc5bc347677882d4004e81b43d2ba1b">convolution</a>.<a class="code" href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#a674e7b3c7f8aaf704f352704a5899a8e">padding_right</a> << <span class="stringliteral">") ("</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a6bc5bc347677882d4004e81b43d2ba1b">convolution</a>.<a class="code" href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#af2246dc6ff43e8b91817f211801be9d5">padding_stride_x</a> << <span class="stringliteral">","</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a6bc5bc347677882d4004e81b43d2ba1b">convolution</a>.<a class="code" href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#a2268d3b0d31e3e74d6e4cb7d7e9fae0e">padding_stride_y</a> <<</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="stringliteral">")"</span> << std::endl;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  os << <span class="stringliteral">"Padding Mode: "</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a6bc5bc347677882d4004e81b43d2ba1b">convolution</a>.<a class="code" href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#af95e133b6f176c39dda5a19abfeb052d">padding_mode</a> << std::endl;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  os << <span class="stringliteral">"Convolution Method: "</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#acf9c4d06fdffc57621c91a2755f678ab">depth_convolution_method</a> << std::endl;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  os << <span class="stringliteral">"Depth multiplier: "</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a6bc5bc347677882d4004e81b43d2ba1b">convolution</a>.<a class="code" href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#ab65969d39b883173d7d0801893d51bc7">depth_multiplier</a>;</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  }</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> <span class="comment"></span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  DepthConvolutionOptions(<span class="keyword">const</span> DepthConvolutionOptions &) = <span class="keyword">delete</span>;<span class="comment"></span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  DepthConvolutionOptions &operator=(<span class="keyword">const</span> DepthConvolutionOptions &) = <span class="keyword">delete</span>;<span class="comment"></span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> <span class="comment"> /** Allow instances of this class to be moved */</span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  DepthConvolutionOptions(DepthConvolutionOptions &&) noexcept(true) = <a class="code" href="namespace_gemm_tuner.xhtml#affb1327b18bf08a379d19eef89cf1ed1">default</a>;<span class="comment"></span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> <span class="comment"> /** Allow instances of this class to be moved */</span></div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  DepthConvolutionOptions &operator=(DepthConvolutionOptions &&) noexcept(true) = <a class="code" href="namespace_gemm_tuner.xhtml#affb1327b18bf08a379d19eef89cf1ed1">default</a>;<span class="comment"></span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> <span class="comment"> /** Default destructor */</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  ~DepthConvolutionOptions() override = <a class="code" href="namespace_gemm_tuner.xhtml#affb1327b18bf08a379d19eef89cf1ed1">default</a>;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> private:</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *width; <span class="comment">/**< Input width */</span></div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *height; <span class="comment">/**< Input height */</span></div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *channels; <span class="comment">/**< Input channels */</span></div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *batch; <span class="comment">/**< Input batch */</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *weights_width; <span class="comment">/**< weights width */</span></div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *weights_height; <span class="comment">/**< weights height */</span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *padding_top; <span class="comment">/**< Padding top */</span></div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *padding_left; <span class="comment">/**< Padding left */</span></div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *padding_bottom; <span class="comment">/**< Padding bottom */</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *padding_right; <span class="comment">/**< Padding right */</span></div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *stride_x; <span class="comment">/**< Padding stride x */</span></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *stride_y; <span class="comment">/**< Padding stride y */</span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <a class="code" href="classarm__compute_1_1utils_1_1_enum_option.xhtml">EnumOption</a><<a class="code" href="namespacearm__compute_1_1utils.xhtml#a52b975f9f11b484d21969f9a8fefb29d">ConvolutionPaddingMode</a>> *padding_mode; <span class="comment">/**< Padding mode */</span></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <a class="code" href="classarm__compute_1_1utils_1_1_enum_option.xhtml">EnumOption</a><<a class="code" href="namespacearm__compute.xhtml">arm_compute</a>::graph::<a class="code" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">DepthwiseConvolutionMethod</a>> *conv_mode; <span class="comment">/**< Convolution method */</span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *depth_multiplier; <span class="comment">/**< Depth multiplier */</span></div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <a class="code" href="classarm__compute_1_1utils_1_1_enum_option.xhtml">EnumOption</a><<a class="code" href="namespacearm__compute.xhtml">arm_compute</a>::<a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a>; <span class="comment">/**< Graph data layout */</span></div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">float</span>> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>; <span class="comment">/**< Input Quantization scale from QASYMM8 */</span></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>; <span class="comment">/**< Input Quantization offset from QASYMM8 */</span></div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">float</span>> *weights_scale; <span class="comment">/**< Weights Quantization scale from QASYMM8 */</span></div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *weights_offset; <span class="comment">/**< Weights Quantization offset from QASYMM8 */</span></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">float</span>> *output_scale; <span class="comment">/**< Output Quantization scale from QASYMM8 */</span></div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *output_offset; <span class="comment">/**< Output Quantization offset from QASYMM8 */</span></div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><uint64_t> *input_range_low; <span class="comment">/**< Lower bound for input randomization range */</span></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><uint64_t> *input_range_high; <span class="comment">/**< Upper bound for input randomization range */</span></div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><uint64_t> *weights_range_low; <span class="comment">/**< Lower bound for weights randomization range */</span></div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><uint64_t> *weights_range_high; <span class="comment">/**< Upper bound for weights randomization range */</span></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> </div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><std::<span class="keywordtype">string</span>> *input_npy; <span class="comment">/**< Use input .npy image */</span></div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><std::<span class="keywordtype">string</span>> *output_npy; <span class="comment">/**< Use output .npy image to verify*/</span></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><std::<span class="keywordtype">string</span>> *weights_npy; <span class="comment">/**< Use weights .npy image */</span></div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><std::<span class="keywordtype">string</span>> *bias_npy; <span class="comment">/**< Use bias .npy image */</span></div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> };</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> <span class="comment"></span></div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span> <span class="comment">/** DepthwiseConvolutionLayer Graph example validation accessor class */</span></div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> template <typename D></div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> class DepthConvolutionVerifyAccessor final : public <a class="code" href="classarm__compute_1_1utils_1_1_verify_accessor.xhtml">VerifyAccessor</a><D></div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> {</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keyword">using</span> BaseClassType = <a class="code" href="classarm__compute_1_1utils_1_1_verify_accessor.xhtml">VerifyAccessor<D></a>;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keyword">using</span> BaseClassType::BaseClassType;</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keyword">using</span> BaseClassType::_params;</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keyword">using</span> TBias = <span class="keyword">typename</span> <a class="code" href="namespace_gemm_tuner.xhtml#a7aead736a07eaf25623ad7bfa1f0ee2d">std::conditional<std::is_same<typename std::decay<D>::type</a>, uint8_t>::value, int32_t, D><a class="code" href="namespace_gemm_tuner.xhtml#a7aead736a07eaf25623ad7bfa1f0ee2d">::type</a>;</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> </div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<D></a> reference(<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<D></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<D></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<TBias></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab1806bf0c5a41f674fb9d2dc6af644f5">output_shape</a>)<span class="keyword"> override</span></div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="comment">// Calculate padding information</span></div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> padding_info = <a class="code" href="namespacearm__compute_1_1utils.xhtml#ab74bfb3856ceeda7e8fe2536bdf77ef0">calculate_convolution_padding</a>(_params);</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> </div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="comment">//Calculate reference</span></div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">return</span> reference::depthwise_convolution<D>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab1806bf0c5a41f674fb9d2dc6af644f5">output_shape</a>, padding_info,</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  _params.convolution.depth_multiplier,</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(1U, 1U),</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  _params.output.quant_info);</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  }</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> </div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordtype">float</span> relative_tolerance()<span class="keyword"> override</span></div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keyword">const</span> std::map<arm_compute::graph::Target, const std::map<DataType, float>> relative_tolerance</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  {</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  {</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35da5bc574a47246f122016869b32a6aa6f0">arm_compute::graph::Target::CL</a>,</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, 0.01f },</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, 0.01f },</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  { <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, 0.0f }</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  }</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  },</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  {</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35dacaf162e9233294cadf62d2a71a14ca09">arm_compute::graph::Target::NEON</a>,</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, 0.01f },</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, 0.01f },</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  { <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, 1.0f }</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  }</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  }</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  };</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> </div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">return</span> relative_tolerance.at(_params.common_params.target).at(_params.data_type);</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  }</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span> </div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keywordtype">float</span> absolute_tolerance()<span class="keyword"> override</span></div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keyword">const</span> std::map<Target, const std::map<DataType, float>> absolute_tolerance</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  {</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  {</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  Target::CL,</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, 0.0f },</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, 0.0000f },</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  { <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, 0.0f }</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  }</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  },</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  {</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  Target::NEON,</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, 0.2f },</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, 0.002f },</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  { <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, 0.0f }</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  }</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  }</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  };</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordflow">return</span> absolute_tolerance.at(_params.common_params.target).at(_params.data_type);</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  }</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> </div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keywordtype">float</span> tolerance_number()<span class="keyword"> override</span></div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keyword">const</span> std::map<Target, const std::map<DataType, float>> absolute_tolerance</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  {</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  {</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  Target::CL,</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, 0.05f },</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, 0.00f },</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  { <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, 0.0f }</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  }</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  },</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  {</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  Target::NEON,</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, 0.05f },</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, 0.0f },</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  { <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, 0.0f }</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  }</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  }</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  };</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> </div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">return</span> absolute_tolerance.at(_params.common_params.target).at(_params.data_type);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  }</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span> };</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span> </div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> } <span class="comment">// namespace</span></div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> </div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span> <span class="keyword">class </span>GraphDepthwiseConvolutionValidateExample final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1utils_1_1_graph_validate_example.xhtml">GraphValidateExample</a><DepthwiseConvolutionLayer, DepthConvolutionOptions, DepthConvolutionVerifyAccessor></div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> {</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1utils_1_1_graph_validate_example.xhtml#a07594d6d567cdd219788762307f60941">GraphValidateExample::graph</a>;</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> </div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  GraphDepthwiseConvolutionValidateExample()</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  : <a class="code" href="classarm__compute_1_1utils_1_1_graph_validate_example.xhtml">GraphValidateExample</a>(<span class="stringliteral">"DepthWiseConvolution Graph example"</span>)</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  {</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  }</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> </div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_depthwise_convolution_layer.xhtml">DepthwiseConvolutionLayer</a> GraphFunctionLayer(<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml">ExampleParams</a> &params)<span class="keyword"> override</span></div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> lower = <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a>(params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a6e1311c23c64b1a05475e5de91d75429">range_low</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a901f5f80dfec4ef700c14947ca8397c9">data_type</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a>);</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> upper = <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a>(params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#af0b9179895ca471157ea7edb8f07ef18">range_high</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a901f5f80dfec4ef700c14947ca8397c9">data_type</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a>);</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span> </div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> weights_lower = <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a>(params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a6e1311c23c64b1a05475e5de91d75429">range_low</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a901f5f80dfec4ef700c14947ca8397c9">data_type</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a>);</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> weights_upper = <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a>(params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#af0b9179895ca471157ea7edb8f07ef18">range_high</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a901f5f80dfec4ef700c14947ca8397c9">data_type</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a>);</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> </div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="comment">// Calculate padding information</span></div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> padding_info = <a class="code" href="namespacearm__compute_1_1utils.xhtml#ab74bfb3856ceeda7e8fe2536bdf77ef0">calculate_convolution_padding</a>(params);</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> </div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_depthwise_convolution_layer.xhtml">DepthwiseConvolutionLayer</a>(params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a2474a5474cbff19523a51eb1de01cda4">width</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#ad12fc34ce789bce6c8a05d8a17138534">height</a>,</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#ac71977d367133149be76363b0915c3af">get_accessor</a>(params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>, weights_lower, weights_upper, 1),</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#ac71977d367133149be76363b0915c3af">get_accessor</a>(params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a2cf08508c0b5892468831a326739d95b">bias</a>, lower, upper, 2),</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  padding_info, params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a6bc5bc347677882d4004e81b43d2ba1b">convolution</a>.<a class="code" href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#ab65969d39b883173d7d0801893d51bc7">depth_multiplier</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#ab6692d047db2f0c872e4dfc55f958533">output</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a>);</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  }</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> };</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span> <span class="comment"></span></div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> <span class="comment">/** Main program for Graph Depthwise Convolution test</span></div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> <span class="comment"> *</span></div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span> <span class="comment"> * @param[in] argc Number of arguments</span></div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span> <span class="comment"> * @param[in] argv Arguments ( Input dimensions [width, height, channels, batch]</span></div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span> <span class="comment"> * Weights dimensions [width, height, channels]</span></div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span> <span class="comment"> * Padding [top,bottom,left,right, Stride x, Stride y, mode [Valid / Same / Manual] )</span></div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span> <span class="comment"> * Convolution Method[ Default/GEMV/Optimized3x3]</span></div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span> <span class="comment"> * Verification[tolerance_number,absolute_tolerance,relative_tolerance] )</span></div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> <span class="comment"> *</span></div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span> <span class="comment"> */</span></div><div class="line"><a name="l00391"></a><span class="lineno"><a class="line" href="graph__depthwiseconvolution_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627"> 391</a></span> <span class="keywordtype">int</span> <a class="code" href="graph__depthwiseconvolution_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627">main</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> {</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordflow">return</span> arm_compute::utils::run_example<GraphDepthwiseConvolutionValidateExample>(argc, argv);</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span> }</div><div class="ttc" id="structarm__compute_1_1utils_1_1_common_params_xhtml_a2cf08508c0b5892468831a326739d95b"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_params.xhtml#a2cf08508c0b5892468831a326739d95b">arm_compute::utils::CommonParams::bias</a></div><div class="ttdeci">TensorParams bias</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00140">graph_validate_utils.h:140</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_convolution_params_xhtml_aa6c55f2c9300c3ba619d7270b63fde74"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#aa6c55f2c9300c3ba619d7270b63fde74">arm_compute::utils::ConvolutionParams::padding_top</a></div><div class="ttdeci">int padding_top</div><div class="ttdoc">Padding graph parameters.</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00151">graph_validate_utils.h:151</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_ab74bfb3856ceeda7e8fe2536bdf77ef0"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#ab74bfb3856ceeda7e8fe2536bdf77ef0">arm_compute::utils::calculate_convolution_padding</a></div><div class="ttdeci">PadStrideInfo calculate_convolution_padding(ExampleParams params)</div><div class="ttdoc">Calculate stride information.</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00194">graph_validate_utils.h:194</a></div></div>
+<div class="ttc" id="_accessor_8h_xhtml"><div class="ttname"><a href="_accessor_8h.xhtml">Accessor.h</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00510">helpers.h:510</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_common_params_xhtml_aca3dcdcaa91edc6ede106e9d4454925b"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">arm_compute::utils::CommonParams::input</a></div><div class="ttdeci">TensorParams input</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00138">graph_validate_utils.h:138</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a31488d29805a596498c0234ae392d35dacaf162e9233294cadf62d2a71a14ca09"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35dacaf162e9233294cadf62d2a71a14ca09">arm_compute::graph::Target::NEON</a></div><div class="ttdoc">NEON capable target device.</div></div>
+<div class="ttc" id="classarm__compute_1_1_pixel_value_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pixel_value.xhtml">arm_compute::PixelValue</a></div><div class="ttdoc">Class describing the value of a pixel for any image format.</div><div class="ttdef"><b>Definition:</b> <a href="_pixel_value_8h_source.xhtml#l00034">PixelValue.h:34</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_convolution_params_xhtml_af50219e3555b6a249b4f52ac5d61ba21"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#af50219e3555b6a249b4f52ac5d61ba21">arm_compute::utils::ConvolutionParams::padding_left</a></div><div class="ttdeci">int padding_left</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00153">graph_validate_utils.h:153</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_tensor_params_xhtml_ad1793c1a8dd3db1a8c4e2d76eadf0036"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#ad1793c1a8dd3db1a8c4e2d76eadf0036">arm_compute::utils::TensorParams::batch</a></div><div class="ttdeci">int batch</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00111">graph_validate_utils.h:111</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acf5f12bbab64dd614bd8220c97fe484f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">arm_compute::test::validation::data_layout</a></div><div class="ttdeci">const DataLayout data_layout</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00146">Im2Col.cpp:146</a></div></div>
+<div class="ttc" id="_toolchain_support_8h_xhtml"><div class="ttname"><a href="_toolchain_support_8h.xhtml">ToolchainSupport.h</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml">arm_compute::test</a></div><div class="ttdef"><b>Definition:</b> <a href="02__tests_8dox_source.xhtml#l00026">02_tests.dox:26</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_convolution_params_xhtml_ab65969d39b883173d7d0801893d51bc7"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#ab65969d39b883173d7d0801893d51bc7">arm_compute::utils::ConvolutionParams::depth_multiplier</a></div><div class="ttdeci">int depth_multiplier</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00149">graph_validate_utils.h:149</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_example_params_xhtml_a6bc5bc347677882d4004e81b43d2ba1b"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_example_params.xhtml#a6bc5bc347677882d4004e81b43d2ba1b">arm_compute::utils::ExampleParams::convolution</a></div><div class="ttdeci">ConvolutionParams convolution</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00180">graph_validate_utils.h:180</a></div></div>
+<div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_depthwise_convolution_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_depthwise_convolution_layer.xhtml">arm_compute::graph::frontend::DepthwiseConvolutionLayer</a></div><div class="ttdoc">Depthwise Convolution Layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layers_8h_source.xhtml#l00439">Layers.h:439</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="structarm__compute_1_1utils_1_1_convolution_params_xhtml_a2268d3b0d31e3e74d6e4cb7d7e9fae0e"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#a2268d3b0d31e3e74d6e4cb7d7e9fae0e">arm_compute::utils::ConvolutionParams::padding_stride_y</a></div><div class="ttdeci">int padding_stride_y</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00156">graph_validate_utils.h:156</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_framework_params_xhtml_a4f987a98d3e1221916748962e45399fe"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_framework_params.xhtml#a4f987a98d3e1221916748962e45399fe">arm_compute::utils::FrameworkParams::threads</a></div><div class="ttdeci">int threads</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00130">graph_validate_utils.h:130</a></div></div>
+<div class="ttc" id="graph__depthwiseconvolution_8cpp_xhtml_a3c04138a5bfe5d72780bb7e82a18e627"><div class="ttname"><a href="graph__depthwiseconvolution_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627">main</a></div><div class="ttdeci">int main(int argc, char **argv)</div><div class="ttdoc">Main program for Graph Depthwise Convolution test.</div><div class="ttdef"><b>Definition:</b> <a href="graph__depthwiseconvolution_8cpp_source.xhtml#l00391">graph_depthwiseconvolution.cpp:391</a></div></div>
+<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel</div></div>
+<div class="ttc" id="classarm__compute_1_1utils_1_1_common_graph_validate_options_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_common_graph_validate_options.xhtml">arm_compute::utils::CommonGraphValidateOptions</a></div><div class="ttdoc">CommonGraphValidateOptions command line options used to configure the graph examples.</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00227">graph_validate_utils.h:227</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_tensor_params_xhtml_ad12fc34ce789bce6c8a05d8a17138534"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#ad12fc34ce789bce6c8a05d8a17138534">arm_compute::utils::TensorParams::height</a></div><div class="ttdeci">int height</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00109">graph_validate_utils.h:109</a></div></div>
+<div class="ttc" id="_graph_8h_xhtml"><div class="ttname"><a href="_graph_8h.xhtml">graph.h</a></div></div>
+<div class="ttc" id="classarm__compute_1_1utils_1_1_command_line_parser_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_command_line_parser.xhtml">arm_compute::utils::CommandLineParser</a></div><div class="ttdoc">Class to parse command line arguments.</div><div class="ttdef"><b>Definition:</b> <a href="_command_line_parser_8h_source.xhtml#l00044">CommandLineParser.h:44</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a52b975f9f11b484d21969f9a8fefb29dac90a13d8ec8fe53c6bb33fe10af6f2fe"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a52b975f9f11b484d21969f9a8fefb29dac90a13d8ec8fe53c6bb33fe10af6f2fe">arm_compute::utils::ConvolutionPaddingMode::Same</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_ac71977d367133149be76363b0915c3af"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#ac71977d367133149be76363b0915c3af">arm_compute::utils::get_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_accessor(const TensorParams &tensor, PixelValue lower, PixelValue upper, const std::random_device::result_type seed=0)</div><div class="ttdoc">Generates appropriate accessor according to the specified graph parameters.</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00337">graph_validate_utils.h:337</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">Copyright (c) 2017-2019 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_framework_params_xhtml_a29d9bc83bfba2fba21af47e575569dde"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_framework_params.xhtml#a29d9bc83bfba2fba21af47e575569dde">arm_compute::utils::FrameworkParams::target</a></div><div class="ttdeci">arm_compute::graph::Target target</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00131">graph_validate_utils.h:131</a></div></div>
+<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 F16 per channel</div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_convolution_params_xhtml_aa6d771cbcf870679140f742c5703d617"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#aa6d771cbcf870679140f742c5703d617">arm_compute::utils::ConvolutionParams::padding_bottom</a></div><div class="ttdeci">int padding_bottom</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00152">graph_validate_utils.h:152</a></div></div>
+<div class="ttc" id="_validate_example_8h_xhtml"><div class="ttname"><a href="_validate_example_8h.xhtml">ValidateExample.h</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_quantization_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization information.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00067">QuantizationInfo.h:67</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_tensor_params_xhtml_a6e1311c23c64b1a05475e5de91d75429"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a6e1311c23c64b1a05475e5de91d75429">arm_compute::utils::TensorParams::range_low</a></div><div class="ttdeci">uint64_t range_low</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00114">graph_validate_utils.h:114</a></div></div>
+<div class="ttc" id="namespace_gemm_tuner_xhtml_affb1327b18bf08a379d19eef89cf1ed1"><div class="ttname"><a href="namespace_gemm_tuner.xhtml#affb1327b18bf08a379d19eef89cf1ed1">GemmTuner.default</a></div><div class="ttdeci">default</div><div class="ttdef"><b>Definition:</b> <a href="_gemm_tuner_8py_source.xhtml#l00548">GemmTuner.py:548</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_common_params_xhtml_a901f5f80dfec4ef700c14947ca8397c9"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_params.xhtml#a901f5f80dfec4ef700c14947ca8397c9">arm_compute::utils::CommonParams::data_type</a></div><div class="ttdeci">arm_compute::DataType data_type</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00143">graph_validate_utils.h:143</a></div></div>
+<div class="ttc" id="_graph_utils_8h_xhtml"><div class="ttname"><a href="_graph_utils_8h.xhtml">GraphUtils.h</a></div></div>
+<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a></div><div class="ttdoc">quantized, asymmetric fixed-point 8-bit number unsigned</div></div>
+<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a75ce9b1baad4303a53124d6f0795821f"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">arm_compute::graph::DepthwiseConvolutionMethod</a></div><div class="ttdeci">DepthwiseConvolutionMethod</div><div class="ttdoc">Supported Depthwise Convolution layer methods.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00116">Types.h:116</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_tensor_params_xhtml_af0b9179895ca471157ea7edb8f07ef18"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#af0b9179895ca471157ea7edb8f07ef18">arm_compute::utils::TensorParams::range_high</a></div><div class="ttdeci">uint64_t range_high</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00115">graph_validate_utils.h:115</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_example_params_xhtml"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_example_params.xhtml">arm_compute::utils::ExampleParams</a></div><div class="ttdoc">Structure holding all the graph Example parameters.</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00177">graph_validate_utils.h:177</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a75ce9b1baad4303a53124d6f0795821fa87dc825930f866018839a6374a5e68d2"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa87dc825930f866018839a6374a5e68d2">arm_compute::graph::DepthwiseConvolutionMethod::GEMV</a></div><div class="ttdoc">Generic GEMV based depthwise convolution.</div></div>
+<div class="ttc" id="namespacearm__compute_1_1graph_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml">arm_compute::graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_topological_sort_8h_source.xhtml#l00033">TopologicalSort.h:33</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml">arm_compute::PadStrideInfo</a></div><div class="ttdoc">Padding and stride information class.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00685">Types.h:685</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a52b975f9f11b484d21969f9a8fefb29d"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a52b975f9f11b484d21969f9a8fefb29d">arm_compute::utils::ConvolutionPaddingMode</a></div><div class="ttdeci">ConvolutionPaddingMode</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00038">graph_validate_utils.h:38</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a3a77be8aebd8e00522b32061d46ccdbd"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">arm_compute::test::validation::bias</a></div><div class="ttdeci">CLTensor bias</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00181">ConvolutionLayer.cpp:181</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_tensor_params_xhtml_accc3b8fde7c3ba545f41521e46f42e4c"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#accc3b8fde7c3ba545f41521e46f42e4c">arm_compute::utils::TensorParams::fm</a></div><div class="ttdeci">int fm</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00110">graph_validate_utils.h:110</a></div></div>
+<div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">arm_compute::DataLayout::NCHW</a></div><div class="ttdoc">Num samples, channels, height, width.</div></div>
+<div class="ttc" id="graph__validate__utils_8h_xhtml"><div class="ttname"><a href="graph__validate__utils_8h.xhtml">graph_validate_utils.h</a></div></div>
+<div class="ttc" id="_common_graph_options_8h_xhtml"><div class="ttname"><a href="_common_graph_options_8h.xhtml">CommonGraphOptions.h</a></div></div>
+<div class="ttc" id="classarm__compute_1_1utils_1_1_enum_option_xhtml_ab5d906b55180c260032ce43d6c5d4d06"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_enum_option.xhtml#ab5d906b55180c260032ce43d6c5d4d06">arm_compute::utils::EnumOption::value</a></div><div class="ttdeci">const T & value() const</div><div class="ttdoc">Get the selected value.</div><div class="ttdef"><b>Definition:</b> <a href="_enum_option_8h_source.xhtml#l00130">EnumOption.h:130</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_common_params_xhtml_a39e23cca85d22b36fc18fbed987af01b"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">arm_compute::utils::CommonParams::weights</a></div><div class="ttdeci">TensorParams weights</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00139">graph_validate_utils.h:139</a></div></div>
+<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">arm_compute::test::SimpleTensor</a></div><div class="ttdoc">Simple tensor object that stores elements in a consecutive chunk of memory.</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00059">SimpleTensor.h:59</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_example_params_xhtml_acf9c4d06fdffc57621c91a2755f678ab"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_example_params.xhtml#acf9c4d06fdffc57621c91a2755f678ab">arm_compute::utils::ExampleParams::depth_convolution_method</a></div><div class="ttdeci">arm_compute::graph::DepthwiseConvolutionMethod depth_convolution_method</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00181">graph_validate_utils.h:181</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_tensor_params_xhtml_aef1c0b2053bee947f72e999db335c84c"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#aef1c0b2053bee947f72e999db335c84c">arm_compute::utils::TensorParams::npy</a></div><div class="ttdeci">std::string npy</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00113">graph_validate_utils.h:113</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1utils_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml">arm_compute::utils</a></div><div class="ttdef"><b>Definition:</b> <a href="_safe_ops_8h_source.xhtml#l00032">SafeOps.h:32</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acec6d8ad52a28972fa74e071c1a63b6a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">arm_compute::test::validation::scale</a></div><div class="ttdeci">scale</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_pixel_wise_multiplication_8cpp_source.xhtml#l00317">PixelWiseMultiplication.cpp:317</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_common_params_xhtml_ab6692d047db2f0c872e4dfc55f958533"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_params.xhtml#ab6692d047db2f0c872e4dfc55f958533">arm_compute::utils::CommonParams::output</a></div><div class="ttdeci">TensorParams output</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00141">graph_validate_utils.h:141</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml">arm_compute::graph_utils</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00044">GraphUtils.h:44</a></div></div>
+<div class="ttc" id="namespace_gemm_tuner_xhtml_a7aead736a07eaf25623ad7bfa1f0ee2d"><div class="ttname"><a href="namespace_gemm_tuner.xhtml#a7aead736a07eaf25623ad7bfa1f0ee2d">GemmTuner.type</a></div><div class="ttdeci">type</div><div class="ttdef"><b>Definition:</b> <a href="_gemm_tuner_8py_source.xhtml#l00527">GemmTuner.py:527</a></div></div>
+<div class="ttc" id="classarm__compute_1_1utils_1_1_verify_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_verify_accessor.xhtml">arm_compute::utils::VerifyAccessor</a></div><div class="ttdoc">Graph example validation accessor class.</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00351">graph_validate_utils.h:351</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_size2_d_xhtml"><div class="ttname"><a href="classarm__compute_1_1_size2_d.xhtml">arm_compute::Size2D</a></div><div class="ttdoc">Class for specifying the size of an image or rectangle.</div><div class="ttdef"><b>Definition:</b> <a href="_size2_d_8h_source.xhtml#l00034">Size2D.h:34</a></div></div>
+<div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">arm_compute::DataLayout::NHWC</a></div><div class="ttdoc">Num samples, height, width, channels.</div></div>
+<div class="ttc" id="classarm__compute_1_1utils_1_1_enum_option_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_enum_option.xhtml">arm_compute::utils::EnumOption</a></div><div class="ttdoc">Implementation of a simple option that accepts a value from a fixed set.</div><div class="ttdef"><b>Definition:</b> <a href="_enum_option_8h_source.xhtml#l00040">EnumOption.h:40</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_convolution_params_xhtml_af95e133b6f176c39dda5a19abfeb052d"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#af95e133b6f176c39dda5a19abfeb052d">arm_compute::utils::ConvolutionParams::padding_mode</a></div><div class="ttdeci">ConvolutionPaddingMode padding_mode</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00157">graph_validate_utils.h:157</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">ConvolutionLayer.cpp:180</a></div></div>
+<div class="ttc" id="_validation_8h_xhtml"><div class="ttname"><a href="_validation_8h.xhtml">Validation.h</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ab1806bf0c5a41f674fb9d2dc6af644f5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ab1806bf0c5a41f674fb9d2dc6af644f5">arm_compute::test::validation::output_shape</a></div><div class="ttdeci">output_shape</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_tensor_params_xhtml_a2474a5474cbff19523a51eb1de01cda4"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a2474a5474cbff19523a51eb1de01cda4">arm_compute::utils::TensorParams::width</a></div><div class="ttdeci">int width</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00108">graph_validate_utils.h:108</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a75ce9b1baad4303a53124d6f0795821fa7a1920d61156abc05a60135aefe8bc67"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa7a1920d61156abc05a60135aefe8bc67">arm_compute::graph::DepthwiseConvolutionMethod::Default</a></div><div class="ttdoc">Default approach using internal heuristics.</div></div>
+<div class="ttc" id="namespace_gemm_tuner_xhtml_a90eee7a4677ca8b1ed116364a24367f9"><div class="ttname"><a href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">GemmTuner.parser</a></div><div class="ttdeci">parser</div><div class="ttdef"><b>Definition:</b> <a href="_gemm_tuner_8py_source.xhtml#l00520">GemmTuner.py:520</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_convolution_params_xhtml_a674e7b3c7f8aaf704f352704a5899a8e"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#a674e7b3c7f8aaf704f352704a5899a8e">arm_compute::utils::ConvolutionParams::padding_right</a></div><div class="ttdeci">int padding_right</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00154">graph_validate_utils.h:154</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_convolution_params_xhtml_af2246dc6ff43e8b91817f211801be9d5"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_convolution_params.xhtml#af2246dc6ff43e8b91817f211801be9d5">arm_compute::utils::ConvolutionParams::padding_stride_x</a></div><div class="ttdeci">int padding_stride_x</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00155">graph_validate_utils.h:155</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1graph_1_1frontend_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1frontend.xhtml">arm_compute::graph::frontend</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_8h_source.xhtml#l00031">ILayer.h:31</a></div></div>
+<div class="ttc" id="_depthwise_convolution_layer_8h_xhtml"><div class="ttname"><a href="_depthwise_convolution_layer_8h.xhtml">DepthwiseConvolutionLayer.h</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a5f5b6c4337eac9e2e0046ca2304d80dc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_arithmetic_addition_8cpp_source.xhtml#l00135">ArithmeticAddition.cpp:135</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_common_params_xhtml_ae5f124b6706064b8b8a507d1b8967ab8"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_params.xhtml#ae5f124b6706064b8b8a507d1b8967ab8">arm_compute::utils::CommonParams::common_params</a></div><div class="ttdeci">FrameworkParams common_params</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00137">graph_validate_utils.h:137</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a75ce9b1baad4303a53124d6f0795821fa3bb7b7f3f021a006e65111fc1d226938"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa3bb7b7f3f021a006e65111fc1d226938">arm_compute::graph::DepthwiseConvolutionMethod::Optimized3x3</a></div><div class="ttdoc">Optimized 3x3 direct depthwise convolution.</div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml">arm_compute::test::validation</a></div><div class="ttdef"><b>Definition:</b> <a href="_abs_layer_8cpp_source.xhtml#l00041">AbsLayer.cpp:41</a></div></div>
+<div class="ttc" id="classarm__compute_1_1utils_1_1_graph_validate_example_xhtml_a07594d6d567cdd219788762307f60941"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_graph_validate_example.xhtml#a07594d6d567cdd219788762307f60941">arm_compute::utils::GraphValidateExample::graph</a></div><div class="ttdeci">arm_compute::graph::frontend::Stream graph</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00692">graph_validate_utils.h:692</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a31488d29805a596498c0234ae392d35da5bc574a47246f122016869b32a6aa6f0"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35da5bc574a47246f122016869b32a6aa6f0">arm_compute::graph::Target::CL</a></div><div class="ttdoc">OpenCL capable target device.</div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_example_params_xhtml_aa56f0562febf49bc0e29a4257551191b"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_example_params.xhtml#aa56f0562febf49bc0e29a4257551191b">arm_compute::utils::ExampleParams::data_layout</a></div><div class="ttdeci">arm_compute::DataLayout data_layout</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00183">graph_validate_utils.h:183</a></div></div>
+<div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdoc">[DataLayout enum definition]</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00116">Types.h:116</a></div></div>
+<div class="ttc" id="_permute_8h_xhtml"><div class="ttname"><a href="_permute_8h.xhtml">Permute.h</a></div></div>
+<div class="ttc" id="classarm__compute_1_1utils_1_1_simple_option_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_simple_option.xhtml">arm_compute::utils::SimpleOption< int ></a></div></div>
+<div class="ttc" id="classarm__compute_1_1utils_1_1_option_xhtml_a48a2672f362eeed9a3e93403f4d3de37"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_option.xhtml#a48a2672f362eeed9a3e93403f4d3de37">arm_compute::utils::Option::set_help</a></div><div class="ttdeci">void set_help(std::string help)</div><div class="ttdoc">Set the help message for the option.</div><div class="ttdef"><b>Definition:</b> <a href="_option_8h_source.xhtml#l00125">Option.h:125</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a52b975f9f11b484d21969f9a8fefb29da3ac705f2acd51a4613f9188c05c91d0d"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a52b975f9f11b484d21969f9a8fefb29da3ac705f2acd51a4613f9188c05c91d0d">arm_compute::utils::ConvolutionPaddingMode::Valid</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a989ab3e96426615bb98e04e0235088ca"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">arm_compute::test::validation::src</a></div><div class="ttdeci">cast configure & src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_cast_8cpp_source.xhtml#l00169">Cast.cpp:169</a></div></div>
+<div class="ttc" id="classarm__compute_1_1utils_1_1_graph_validate_example_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_graph_validate_example.xhtml">arm_compute::utils::GraphValidateExample</a></div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00630">graph_validate_utils.h:630</a></div></div>
+<div class="ttc" id="structarm__compute_1_1utils_1_1_tensor_params_xhtml_a65bc62ff84efcb7e4a410600480a4dc9"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">arm_compute::utils::TensorParams::quant_info</a></div><div class="ttdeci">QuantizationInfo quant_info</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00112">graph_validate_utils.h:112</a></div></div>
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