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arm_compute v18.05
[platform/upstream/armcl.git] / documentation / benchmark_2_c_l_2_fully_connected_layer_8cpp.xhtml
diff --git a/documentation/benchmark_2_c_l_2_fully_connected_layer_8cpp.xhtml b/documentation/benchmark_2_c_l_2_fully_connected_layer_8cpp.xhtml
index 8565d9c..8cd94d0 100644 (file)
--- a/documentation/benchmark_2_c_l_2_fully_connected_layer_8cpp.xhtml
+++ b/documentation/benchmark_2_c_l_2_fully_connected_layer_8cpp.xhtml
@@ -40,7 +40,7 @@
  <tr style="height: 56px;">
   <td style="padding-left: 0.5em;">
    <div id="projectname">Compute Library
-   &#160;<span id="projectnumber">18.01</span>
+   &#160;<span id="projectnumber">18.05</span>
    </div>
   </td>
  </tr>
@@ -127,15 +127,15 @@ $(document).ready(function(){initNavTree('benchmark_2_c_l_2_fully_connected_laye
 <code>#include &quot;<a class="el" href="_c_l_tensor_allocator_8h_source.xhtml">arm_compute/runtime/CL/CLTensorAllocator.h</a>&quot;</code><br />
 <code>#include &quot;<a class="el" href="_c_l_fully_connected_layer_8h_source.xhtml">arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h</a>&quot;</code><br />
 <code>#include &quot;<a class="el" href="_c_l_accessor_8h_source.xhtml">tests/CL/CLAccessor.h</a>&quot;</code><br />
-<code>#include &quot;<a class="el" href="benchmark_2fixtures_2_fully_connected_layer_fixture_8h_source.xhtml">tests/benchmark/fixtures/FullyConnectedLayerFixture.h</a>&quot;</code><br />
-<code>#include &quot;<a class="el" href="_alex_net_fully_connected_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/alexnet/AlexNetFullyConnectedLayerDataset.h</a>&quot;</code><br />
-<code>#include &quot;<a class="el" href="_goog_le_net_inception_v1_fully_connected_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1FullyConnectedLayerDataset.h</a>&quot;</code><br />
-<code>#include &quot;<a class="el" href="_goog_le_net_inception_v4_fully_connected_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4FullyConnectedLayerDataset.h</a>&quot;</code><br />
-<code>#include &quot;<a class="el" href="_le_net5_fully_connected_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/lenet5/LeNet5FullyConnectedLayerDataset.h</a>&quot;</code><br />
-<code>#include &quot;<a class="el" href="_v_g_g16_fully_connected_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/vgg/vgg16/VGG16FullyConnectedLayerDataset.h</a>&quot;</code><br />
+<code>#include &quot;tests/benchmark/fixtures/FullyConnectedLayerFixture.h&quot;</code><br />
+<code>#include &quot;tests/datasets/system_tests/alexnet/AlexNetFullyConnectedLayerDataset.h&quot;</code><br />
+<code>#include &quot;tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1FullyConnectedLayerDataset.h&quot;</code><br />
+<code>#include &quot;tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4FullyConnectedLayerDataset.h&quot;</code><br />
+<code>#include &quot;tests/datasets/system_tests/lenet5/LeNet5FullyConnectedLayerDataset.h&quot;</code><br />
+<code>#include &quot;tests/datasets/system_tests/vgg/vgg16/VGG16FullyConnectedLayerDataset.h&quot;</code><br />
 <code>#include &quot;<a class="el" href="tests_2framework_2_macros_8h_source.xhtml">tests/framework/Macros.h</a>&quot;</code><br />
 <code>#include &quot;<a class="el" href="_datasets_8h_source.xhtml">tests/framework/datasets/Datasets.h</a>&quot;</code><br />
-<code>#include &quot;<a class="el" href="_type_printer_8h_source.xhtml">utils/TypePrinter.h</a>&quot;</code><br />
+<code>#include &quot;<a class="el" href="utils_2_type_printer_8h_source.xhtml">utils/TypePrinter.h</a>&quot;</code><br />
 </div>
 <p><a href="benchmark_2_c_l_2_fully_connected_layer_8cpp_source.xhtml">Go to the source code of this file.</a></p>
 <table class="memberdecls">
@@ -146,34 +146,36 @@ Namespaces</h2></td></tr>
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+<tr class="memitem:namespacearm__compute_1_1test_1_1benchmark"><td class="memItemLeft" align="right" valign="top"> &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml">arm_compute::test::benchmark</a></td></tr>
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 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="typedef-members"></a>
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-<tr class="memitem:a4c33955ce3f6ed3a4d756cdebf6c8b3a"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a4c33955ce3f6ed3a4d756cdebf6c8b3a">CLFullyConnectedLayerFixture</a> = FullyConnectedLayerFixture&lt; <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_fully_connected_layer.xhtml">CLFullyConnectedLayer</a>, CLAccessor &gt;</td></tr>
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-<tr class="separator:a8388dbd479dceaffb21c8fc564c5c420"><td class="memSeparator" colspan="2">&#160;</td></tr>
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-<tr class="separator:ab8549a72a0983f5281a5612979669e2d"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:adb9a698039f2f9414f3296a4d9070893"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#adb9a698039f2f9414f3296a4d9070893">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
-<tr class="separator:adb9a698039f2f9414f3296a4d9070893"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6fef2cd462f91f3b071ee7d02322dbb6"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a6fef2cd462f91f3b071ee7d02322dbb6">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
-<tr class="separator:a6fef2cd462f91f3b071ee7d02322dbb6"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a463d7f372ea5c6217b8ee151b47f596e"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a463d7f372ea5c6217b8ee151b47f596e">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
-<tr class="separator:a463d7f372ea5c6217b8ee151b47f596e"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5d101b25bb35a8d9b1efc70102bb3a4"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ad5d101b25bb35a8d9b1efc70102bb3a4">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
-<tr class="separator:ad5d101b25bb35a8d9b1efc70102bb3a4"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a83f3fe8598aedfba981fa9f6211282ac"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a83f3fe8598aedfba981fa9f6211282ac">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetFullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))</td></tr>
+<tr class="separator:a83f3fe8598aedfba981fa9f6211282ac"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2a70f2866f451484cec556a5f9b081f6"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a2a70f2866f451484cec556a5f9b081f6">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))</td></tr>
+<tr class="separator:a2a70f2866f451484cec556a5f9b081f6"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4b7ebda47c36e379e7f499bf7dcd39b6"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a4b7ebda47c36e379e7f499bf7dcd39b6">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))</td></tr>
+<tr class="separator:a4b7ebda47c36e379e7f499bf7dcd39b6"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af192f8f19bea0c33f4f1dc95e606b484"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#af192f8f19bea0c33f4f1dc95e606b484">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))</td></tr>
+<tr class="separator:af192f8f19bea0c33f4f1dc95e606b484"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a0b725ec1516ff80d3ddb58e190d9f08b"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a0b725ec1516ff80d3ddb58e190d9f08b">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))</td></tr>
+<tr class="separator:a0b725ec1516ff80d3ddb58e190d9f08b"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae3acc98935c819ef82d135e59e9a232c"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#ae3acc98935c819ef82d135e59e9a232c">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetFullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
+<tr class="separator:ae3acc98935c819ef82d135e59e9a232c"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a7b9b861d79b9515579907028e7e8f6ff"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a7b9b861d79b9515579907028e7e8f6ff">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
+<tr class="separator:a7b9b861d79b9515579907028e7e8f6ff"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5aa9f68ffccb34570007ce8dde1dcabc"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a5aa9f68ffccb34570007ce8dde1dcabc">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
+<tr class="separator:a5aa9f68ffccb34570007ce8dde1dcabc"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab620e0663a1ea440cbdb5586ee9c05ae"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#ab620e0663a1ea440cbdb5586ee9c05ae">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
+<tr class="separator:ab620e0663a1ea440cbdb5586ee9c05ae"><td class="memSeparator" colspan="2">&#160;</td></tr>
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+<tr class="separator:a9afdac183894cb6bddc3445bf4d69744"><td class="memSeparator" colspan="2">&#160;</td></tr>
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@@ -181,7 +183,7 @@ Functions</h2></td></tr>
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Domain: Machine Learning / ML Framework;