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| <div class="title">BatchNormalizationLayerFixture< TensorType, Function, Accessor > Class Template Reference</div> </div> |
| </div><!--header--> |
| <div class="contents"> |
| |
| <p>Fixture that can be used for NEON and CL. |
| <a href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a>></code></p> |
| <div class="dynheader"> |
| Collaboration diagram for BatchNormalizationLayerFixture< TensorType, Function, Accessor >:</div> |
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| </div> |
| <center><span class="legend">[<a target="top" href="graph_legend.xhtml">legend</a>]</span></center></div> |
| <table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> |
| Public Member Functions</h2></td></tr> |
| <tr class="memitem:acab980ecd77cd2a0fee5c0a8ce0455f1"><td class="memTemplParams" colspan="2">template<typename... > </td></tr> |
| <tr class="memitem:acab980ecd77cd2a0fee5c0a8ce0455f1"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#acab980ecd77cd2a0fee5c0a8ce0455f1">setup</a> (<a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> tensor_shape, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> param_shape, float epsilon, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, int batches)</td></tr> |
| <tr class="separator:acab980ecd77cd2a0fee5c0a8ce0455f1"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a13a43e6d814de94978c515cb084873b1"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">run</a> ()</td></tr> |
| <tr class="separator:a13a43e6d814de94978c515cb084873b1"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4adab6322a0276f34a7d656d49fc865c"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#a4adab6322a0276f34a7d656d49fc865c">teardown</a> ()</td></tr> |
| <tr class="separator:a4adab6322a0276f34a7d656d49fc865c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml">Fixture</a></td></tr> |
| <tr class="memitem:a4fc01d736fe50cf5b977f755b675f11d inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml#a4fc01d736fe50cf5b977f755b675f11d">setup</a> ()</td></tr> |
| <tr class="memdesc:a4fc01d736fe50cf5b977f755b675f11d inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="mdescLeft"> </td><td class="mdescRight">Setup function. <a href="#a4fc01d736fe50cf5b977f755b675f11d">More...</a><br/></td></tr> |
| <tr class="separator:a4fc01d736fe50cf5b977f755b675f11d inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4adab6322a0276f34a7d656d49fc865c inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml#a4adab6322a0276f34a7d656d49fc865c">teardown</a> ()</td></tr> |
| <tr class="memdesc:a4adab6322a0276f34a7d656d49fc865c inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="mdescLeft"> </td><td class="mdescRight">Teardown function. <a href="#a4adab6322a0276f34a7d656d49fc865c">More...</a><br/></td></tr> |
| <tr class="separator:a4adab6322a0276f34a7d656d49fc865c inherit pub_methods_classarm__compute_1_1test_1_1framework_1_1_fixture"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><h3>template<typename TensorType, typename Function, typename Accessor><br/> |
| class arm_compute::test::BatchNormalizationLayerFixture< TensorType, Function, Accessor ></h3> |
| |
| <p>Fixture that can be used for NEON and CL. </p> |
| |
| <p>Definition at line <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00039">39</a> of file <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a>.</p> |
| </div><h2 class="groupheader">Member Function Documentation</h2> |
| <a class="anchor" id="a13a43e6d814de94978c515cb084873b1"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void run </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Definition at line <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00076">76</a> of file <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  {</div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  batch_norm_layer.run();</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  }</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a class="anchor" id="acab980ecd77cd2a0fee5c0a8ce0455f1"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void setup </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> </td> |
| <td class="paramname"><em>tensor_shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> </td> |
| <td class="paramname"><em>param_shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>epsilon</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> |
| <td class="paramname"><em>data_type</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>batches</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Definition at line <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00043">43</a> of file <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a>.</p> |
| |
| <p>References <a class="el" href="_c_l_2_min_max_location_8cpp_source.xhtml#l00090">arm_compute::test::validation::data_type</a>, <a class="el" href="main_8cpp_source.xhtml#l00054">arm_compute::test::library</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00109">Dimensions< T >::num_dimensions()</a>, and <a class="el" href="_tensor_shape_8h_source.xhtml#l00074">TensorShape::set()</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  {</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="comment">// Set batched in source and destination shapes</span></div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> fixed_point_position = 4;</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  tensor_shape.set(tensor_shape.num_dimensions(), batches);</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="comment">// Create tensors</span></div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  src = create_tensor<TensorType>(tensor_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  dst = create_tensor<TensorType>(tensor_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  mean = create_tensor<TensorType>(param_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  variance = create_tensor<TensorType>(param_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  beta = create_tensor<TensorType>(param_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  gamma = create_tensor<TensorType>(param_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="comment">// Create and configure function</span></div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  batch_norm_layer.configure(&src, &dst, &mean, &variance, &beta, &gamma, epsilon);</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="comment">// Allocate tensors</span></div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  src.allocator()->allocate();</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  dst.allocator()->allocate();</div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  mean.allocator()->allocate();</div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  variance.allocator()->allocate();</div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  beta.allocator()->allocate();</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  gamma.allocator()->allocate();</div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="comment">// Fill tensors</span></div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>->fill_tensor_uniform(Accessor(src), 0);</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>->fill_tensor_uniform(Accessor(mean), 1);</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>->fill_tensor_uniform(Accessor(variance), 2);</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>->fill_tensor_uniform(Accessor(beta), 3);</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>->fill_tensor_uniform(Accessor(gamma), 4);</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  }</div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">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_min_max_location_8cpp_source.xhtml#l00090">MinMaxLocation.cpp:90</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_xhtml_a71326f0909d77386e29b511e1990a11f"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">arm_compute::test::library</a></div><div class="ttdeci">std::unique_ptr< AssetsLibrary > library</div><div class="ttdef"><b>Definition:</b> <a href="main_8cpp_source.xhtml#l00054">main.cpp:54</a></div></div> |
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| <td class="memname">void teardown </td> |
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| <p>Definition at line <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00081">81</a> of file <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  {</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  src.allocator()->free();</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  dst.allocator()->free();</div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  mean.allocator()->free();</div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  variance.allocator()->free();</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  beta.allocator()->free();</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  gamma.allocator()->free();</div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  }</div> |
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| <hr/>The documentation for this class was generated from the following file:<ul> |
| <li>tests/benchmark/fixtures/<a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">BatchNormalizationLayerFixture.h</a></li> |
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