arm_compute v18.05

[platform/upstream/armcl.git] / documentation / functions_func.xhtml

diff --git a/documentation/functions_func.xhtml b/documentation/functions_func.xhtml
index b23a5cd..9ad1ae5 100644 (file)
--- a/documentation/functions_func.xhtml
+++ b/documentation/functions_func.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>
@@ -168,20 +168,43 @@ $(document).ready(function(){initNavTree('functions_func.xhtml','');});
 <li>AbsoluteTolerance()
 : <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_absolute_tolerance.xhtml#a0856d709c655f740d93b50e9121a7aa3">AbsoluteTolerance&lt; T &gt;</a>
 </li>
+<li>accept()
+: <a class="el" href="classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">ActivationLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">BatchNormalizationLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_const_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">ConstNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">ConvolutionLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_depth_concatenate_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">DepthConcatenateLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">DepthwiseConvolutionLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">EltwiseLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">FlattenLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">FullyConnectedLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a69a6e8613e2e1b00de98610c2ae6288a">INode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_input_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">InputNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">NormalizationLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_output_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">OutputNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">PoolingLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">ReshapeLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">SoftmaxLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_split_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">SplitLayerNode</a>
+</li>
 <li>access_tensor()
 : <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml#a497873c25847d7b4f60f37a1a3aa7665">ITensorAccessor</a>
 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">DummyAccessor</a>
+, <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">NumPyAccessor</a>
 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#ab469d593b4bc92e1d1132a03de0aedca">NumPyBinLoader</a>
 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">PPMAccessor</a>
 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml#ab469d593b4bc92e1d1132a03de0aedca">PPMWriter</a>
 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">RandomAccessor</a>
 , <a class="el" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">TopNPredictionsAccessor</a>
 </li>
+<li>accessor()
+: <a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a628ae217fcdf428262157653be68021d">Tensor</a>
+</li>
 <li>Accessor()
-: <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml#a07899949ec789695420c2e13544ef9a5">Accessor</a>
+: <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml#a1dc30c7bdc2d650f29ed45ec5110a0c6">Accessor</a>
 </li>
 <li>AccessWindowAutoPadding()
-: <a class="el" href="classarm__compute_1_1_access_window_auto_padding.xhtml#ab876b2c3c41ed76c14c177c9373d320b">AccessWindowAutoPadding</a>
+: <a class="el" href="classarm__compute_1_1_access_window_auto_padding.xhtml#a55ae8ac3b55093b24fe30805828de164">AccessWindowAutoPadding</a>
 </li>
 <li>AccessWindowHorizontal()
 : <a class="el" href="classarm__compute_1_1_access_window_horizontal.xhtml#ae44d5d1d474ac5fa01159d24f7318f7f">AccessWindowHorizontal</a>
@@ -195,16 +218,6 @@ $(document).ready(function(){initNavTree('functions_func.xhtml','');});
 <li>AccessWindowVertical()
 : <a class="el" href="classarm__compute_1_1_access_window_vertical.xhtml#af470e59c429be56a65a66e806816246d">AccessWindowVertical</a>
 </li>
-<li>accum_conf()
-: <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_accumulate_squared_validation_fixture.xhtml#ae330fbb92215328f95810cf3dc27ef15">AccumulateSquaredValidationFixture&lt; TensorType, AccessorType, FunctionType, T1, T2 &gt;</a>
-, <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_accumulate_validation_fixture.xhtml#ae330fbb92215328f95810cf3dc27ef15">AccumulateValidationFixture&lt; TensorType, AccessorType, FunctionType, T1, T2 &gt;</a>
-, <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_accumulate_weighted_validation_fixture.xhtml#ae330fbb92215328f95810cf3dc27ef15">AccumulateWeightedValidationFixture&lt; TensorType, AccessorType, FunctionType, T1, T2 &gt;</a>
-</li>
-<li>accum_ref()
-: <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_accumulate_squared_validation_fixture.xhtml#a1a747670ecf5dec64dcad7826bdbc0b3">AccumulateSquaredValidationFixture&lt; TensorType, AccessorType, FunctionType, T1, T2 &gt;</a>
-, <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_accumulate_validation_fixture.xhtml#a1a747670ecf5dec64dcad7826bdbc0b3">AccumulateValidationFixture&lt; TensorType, AccessorType, FunctionType, T1, T2 &gt;</a>
-, <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_accumulate_weighted_validation_fixture.xhtml#a1a747670ecf5dec64dcad7826bdbc0b3">AccumulateWeightedValidationFixture&lt; TensorType, AccessorType, FunctionType, T1, T2 &gt;</a>
-</li>
 <li>acquire()
 : <a class="el" href="classarm__compute_1_1_blob_memory_pool.xhtml#a93acd60164fb91350b542af0200410a6">BlobMemoryPool</a>
 , <a class="el" href="classarm__compute_1_1_i_memory_group.xhtml#accdbc89f54447d25dfc018d38070f4ea">IMemoryGroup</a>
@@ -215,14 +228,17 @@ $(document).ready(function(){initNavTree('functions_func.xhtml','');});
 <li>activation()
 : <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#a63e05ce4946dd9807c005c1619fa337a">ActivationLayerInfo</a>
 </li>
-<li>ActivationFunctions()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_activation_functions.xhtml#a2bf52109824b6641431e0f8c5c321a12">ActivationFunctions</a>
+<li>activation_info()
+: <a class="el" href="classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#ad09465cceb063464e0ba1e474b82b318">ActivationLayerNode</a>
 </li>
 <li>ActivationLayer()
-: <a class="el" href="classarm__compute_1_1graph_1_1_activation_layer.xhtml#afac1172e48fcb7c2e806f1629da9624a">ActivationLayer</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml#ae538c5265a9f26cac7d41eeca26a60a0">ActivationLayer</a>
 </li>
 <li>ActivationLayerInfo()
-: <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#af56abff12f887fddfa02e0bc18a318a1">ActivationLayerInfo</a>
+: <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#ac06d9557031b0febb70869efd793cb38">ActivationLayerInfo</a>
+</li>
+<li>ActivationLayerNode()
+: <a class="el" href="classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a40594431d9de2c931d4b0946c44af55e">ActivationLayerNode</a>
 </li>
 <li>add()
 : <a class="el" href="structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1functions.xhtml#a40956c61706d70b8978c2b87ac455d2a">functions</a>
@@ -247,27 +263,32 @@ $(document).ready(function(){initNavTree('functions_func.xhtml','');});
 <li>add_4D_tensor_argument()
 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a33e09c946b338fbfc780a9d1c66e68ad">ICLKernel</a>
 </li>
+<li>add_activation_node()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a890a11b240837645352791b2e89632b1">GraphBuilder</a>
+</li>
 <li>add_argument()
 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a50f427a1d9419800972b9e03c4034311">ICLKernel</a>
 </li>
 <li>add_array_argument()
 : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a2d7c6b5f3332604ad6a637457f65c342">ICLKernel</a>
 </li>
-<li>add_config()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">BatchNormalizationLayerDataset</a>
-, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">ConvolutionLayerDataset</a>
-, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_depthwise_convolution_layer_dataset.xhtml#ad9572fe2034b2ae4a4a9f9775cdcc4ab">DepthwiseConvolutionLayerDataset</a>
-, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_depthwise_separable_convolution_layer_dataset.xhtml#a0c595d641ff7e7fd72afb568a8836896">DepthwiseSeparableConvolutionLayerDataset</a>
-, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_fully_connected_layer_dataset.xhtml#a5446368b6d98e0124488be5698abf97a">FullyConnectedLayerDataset</a>
-, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_g_e_m_m_dataset.xhtml#ab94a6efb6054d4272c40b4103e5b94bb">GEMMDataset</a>
-, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_g_e_m_m_lowp_dataset.xhtml#ab16ad95c389307713ad907926fa9e848">GEMMLowpDataset</a>
-, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_h_o_g_descriptor_dataset.xhtml#a1c3379249b34b82cc19321381508aa2f">HOGDescriptorDataset</a>
-, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml#ab847eb21a42ba6b11359c42b20c4c454">NormalizePlanarYUVLayerDataset</a>
-, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_pooling_layer_dataset.xhtml#ae48663d611bae13b69e6153198032284">PoolingLayerDataset</a>
-, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_reshape_layer_dataset.xhtml#a0a5219d7167f51af08582ff68bde23ec">ReshapeLayerDataset</a>
-, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_r_o_i_pooling_layer_dataset.xhtml#ad5f10da2006744de614f2567a1c643a7">ROIPoolingLayerDataset</a>
-, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_scale_layer_dataset.xhtml#a44466fdbe15a0221534e0f10616d2b61">ScaleLayerDataset</a>
-, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_threshold_dataset.xhtml#afe9cd51e0c7935c92b881f3697d62f86">ThresholdDataset</a>
+<li>add_backend()
+: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a451414fa66c0042dbda95c7620b377a5">BackendRegistry</a>
+</li>
+<li>add_batch_normalization_node()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#acc31c037c3eac4234abae6ec0e080d2f">GraphBuilder</a>
+</li>
+<li>add_built_program()
+: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a76d1513abb2d86ece6044a4fe2a83f56">CLKernelLibrary</a>
+</li>
+<li>add_connection()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">Graph</a>
+</li>
+<li>add_const_node()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ac304c66615e62c6b4aa40e8728920002">GraphBuilder</a>
+</li>
+<li>add_convolution_node()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a2c8bc1735814df209ef5ad3323cd5863">GraphBuilder</a>
 </li>
 <li>add_data_test_case()
 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#aff39a3b89865624b6579d6980fb88654">Framework</a>
@@ -275,18 +296,37 @@ $(document).ready(function(){initNavTree('functions_func.xhtml','');});
 <li>add_decorator()
 : <a class="el" href="classarm__compute_1_1logging_1_1_logger.xhtml#aca0de1bc76119d77831c0b1d58a20f4d">Logger</a>
 </li>
-<li>add_image_file()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_image_file_dataset.xhtml#ac0eb4ae50d395d3c191d5078f7c99a06">ImageFileDataset</a>
+<li>add_depth_concatenate_node()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a4e79becb4675e8e78f5ffb30a89460ca">GraphBuilder</a>
+</li>
+<li>add_depthwise_convolution_node()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a8e4e65674676098214cd6ee38d740bb1">GraphBuilder</a>
+</li>
+<li>add_elementwise_node()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a7d0d78c3fe7a6530cf184a8f99172214">GraphBuilder</a>
+</li>
+<li>add_flatten_node()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a822583f5b38ff029ea1e1c221dbfe19f">GraphBuilder</a>
+</li>
+<li>add_fully_connected_layer()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ad1dbeadf5e85d923fa0751b19c0a4170">GraphBuilder</a>
+</li>
+<li>add_input_node()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a4bed63b35b24f8f44260237558e8a02b">GraphBuilder</a>
+</li>
+<li>add_layer()
+: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a1279b8b362e78d55d4951512f410b14e">IStream</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a962a6d769f57dd2f1a0b8beb714fc6bb">Stream</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml#a962a6d769f57dd2f1a0b8beb714fc6bb">SubStream</a>
 </li>
-<li>add_input()
-: <a class="el" href="classarm__compute_1_1graph_1_1_node_context.xhtml#a092fa0a514eef844785e30916a2cf8bd">NodeContext</a>
+<li>add_lws_to_table()
+: <a class="el" href="classarm__compute_1_1_c_l_tuner.xhtml#a7de8b49d3ae94affb80ba48945368a8a">CLTuner</a>
 </li>
 <li>add_node()
-: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a38ce1a1fc4dd3131a37225ae95c143ce">Graph</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_sub_graph.xhtml#a38ce1a1fc4dd3131a37225ae95c143ce">SubGraph</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a3ffda41b00085a84a5d4bc46f1106e17">Graph</a>
 </li>
-<li>add_operation()
-: <a class="el" href="classarm__compute_1_1graph_1_1_operation_registry.xhtml#aad5f9e2a10e4d9a6d13f78862df1d0d5">OperationRegistry</a>
+<li>add_normalization_node()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a15885529ec64ecf2b388f6229c5a65fa">GraphBuilder</a>
 </li>
 <li>add_option()
 : <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">CLBuildOptions</a>
@@ -304,11 +344,11 @@ $(document).ready(function(){initNavTree('functions_func.xhtml','');});
 <li>add_options_if()
 : <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a504e7a51a86c19f1f529f739f50729f2">CLBuildOptions</a>
 </li>
-<li>add_output()
-: <a class="el" href="classarm__compute_1_1graph_1_1_node_context.xhtml#a93bbbe62b0f94909ba481b02fc785416">NodeContext</a>
+<li>add_output_node()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ab87ec51542d159d5efae373c82b7944c">GraphBuilder</a>
 </li>
-<li>add_parameter()
-: <a class="el" href="classarm__compute_1_1graph_1_1_node_context.xhtml#a4b8e8981665590668761d9c3178f4720">NodeContext</a>
+<li>add_pooling_node()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#af8eae85804c35bc91d26fe28efc3936a">GraphBuilder</a>
 </li>
 <li>add_positional_option()
 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_command_line_parser.xhtml#a079cbecac60787502777460ef65491c0">CommandLineParser</a>
@@ -317,9 +357,17 @@ $(document).ready(function(){initNavTree('functions_func.xhtml','');});
 : <a class="el" href="classarm__compute_1_1logging_1_1_logger.xhtml#a1a5b7c4d38c6f9fd1550c62441b69648">Logger</a>
 , <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a5f16ced78873ee3a193490197fbf57a5">Framework</a>
 </li>
-<li>add_tensor_object()
-: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#ab354fb05f2ce43224f098bb3dc7ff42c">Graph</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_sub_graph.xhtml#ab354fb05f2ce43224f098bb3dc7ff42c">SubGraph</a>
+<li>add_reshape_node()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a30a1530d919a233e389f32ad9a6e2b25">GraphBuilder</a>
+</li>
+<li>add_scale_layer()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a9065925e20c5b5aa449d3ef9dc371085">GraphBuilder</a>
+</li>
+<li>add_softmax_node()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#acb202d26a81ff465a95e5f869d6ee141">GraphBuilder</a>
+</li>
+<li>add_split_node()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#afbe47092174c74b23af3312c02341e09">GraphBuilder</a>
 </li>
 <li>add_test_case()
 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#ad8e7764125fcd790e0b151d26cfe949c">Framework</a>
@@ -330,40 +378,20 @@ $(document).ready(function(){initNavTree('functions_func.xhtml','');});
 <li>adjust()
 : <a class="el" href="classarm__compute_1_1_window.xhtml#a69496c7cb46a4101813d7456a6bd097b">Window</a>
 </li>
-<li>AlexNetActivationLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_activation_layer_dataset.xhtml#a7e7ef32745be0119b6213ad986546d37">AlexNetActivationLayerDataset</a>
-</li>
-<li>AlexNetConvolutionLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_convolution_layer_dataset.xhtml#ac432b94801358a44d8646896fd663172">AlexNetConvolutionLayerDataset</a>
-</li>
-<li>AlexNetDirectConvolutionLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_direct_convolution_layer_dataset.xhtml#afdcf050b66d2142b068ced09e16d8bb6">AlexNetDirectConvolutionLayerDataset</a>
-</li>
-<li>AlexNetFullyConnectedLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_fully_connected_layer_dataset.xhtml#ad5a2bce30a5e0fe7e51e86fa1a765f74">AlexNetFullyConnectedLayerDataset</a>
-</li>
-<li>AlexNetGEMMDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_g_e_m_m_dataset.xhtml#abb0baf779ccf7f826098a0747c1cc515">AlexNetGEMMDataset</a>
-</li>
-<li>AlexNetNormalizationLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_normalization_layer_dataset.xhtml#a703ee52cdd79f7201ba2b594775a8eb5">AlexNetNormalizationLayerDataset</a>
-</li>
-<li>AlexNetPoolingLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_pooling_layer_dataset.xhtml#a88a4ddd8886dd11eb1828f2d98b6e40c">AlexNetPoolingLayerDataset</a>
-</li>
-<li>AlexNetWinogradLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_winograd_layer_dataset.xhtml#a8b6407c4ce8013ec3ab310e1fdf51710">AlexNetWinogradLayerDataset</a>
-</li>
 <li>allocate()
 : <a class="el" href="classarm__compute_1_1_allocator.xhtml#aae0c9f2cf99b1724ec4a6d4e292327d2">Allocator</a>
 , <a class="el" href="classarm__compute_1_1_c_l_buffer_allocator.xhtml#aae0c9f2cf99b1724ec4a6d4e292327d2">CLBufferAllocator</a>
 , <a class="el" href="classarm__compute_1_1_c_l_multi_image.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">CLMultiImage</a>
 , <a class="el" href="classarm__compute_1_1_c_l_pyramid.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">CLPyramid</a>
 , <a class="el" href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">CLTensorAllocator</a>
+, <a class="el" href="classarm__compute_1_1_g_c_buffer_allocator.xhtml#aae0c9f2cf99b1724ec4a6d4e292327d2">GCBufferAllocator</a>
 , <a class="el" href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">GCTensorAllocator</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_object.xhtml#aa8a4946cd749d482dd996874d295af85">ITensorObject</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_sub_tensor.xhtml#a6e509c2a177b0b29e9e2369535094dee">SubTensor</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a6e509c2a177b0b29e9e2369535094dee">Tensor</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#a6e509c2a177b0b29e9e2369535094dee">CLSubTensorHandle</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml#a6e509c2a177b0b29e9e2369535094dee">CLTensorHandle</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#a6e509c2a177b0b29e9e2369535094dee">GCTensorHandle</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a6e509c2a177b0b29e9e2369535094dee">NESubTensorHandle</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#a6e509c2a177b0b29e9e2369535094dee">NETensorHandle</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_handle.xhtml#aa8a4946cd749d482dd996874d295af85">ITensorHandle</a>
 , <a class="el" href="classarm__compute_1_1_i_allocator.xhtml#a6ce9dda753afa9abb498f3d6b673e595">IAllocator</a>
 , <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">ITensorAllocator</a>
 , <a class="el" href="classarm__compute_1_1_multi_image.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">MultiImage</a>
@@ -374,15 +402,12 @@ $(document).ready(function(){initNavTree('functions_func.xhtml','');});
 , <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_mobile_net_network.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">MobileNetNetwork&lt; TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionLayerFunction, ReshapeFunction, PoolingLayerFunction &gt;</a>
 , <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_mobile_net_v1_network.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">MobileNetV1Network&lt; TensorType, Accessor, ActivationLayerFunction, BatchNormalizationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionFunction, ReshapeFunction, PoolingLayerFunction, SoftmaxLayerFunction &gt;</a>
 </li>
-<li>allocate_and_fill_if_needed()
-: <a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml#ab910ac6d4f9e75e14584f92d7d8b8c2d">Tensor</a>
-</li>
 <li>Allocator()
 : <a class="el" href="classarm__compute_1_1_allocator.xhtml#a20ec13b471d9434e1c3dd9d93c004e07">Allocator</a>
 </li>
 <li>allocator()
 : <a class="el" href="classarm__compute_1_1_c_l_lut.xhtml#a5330adc6ef4a662806ec236e2be07bbe">CLLut</a>
-, <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">CLTensor</a>
+, <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml#a256b18d4e6fdbbff14937b4b9089bdd3">CLTensor</a>
 , <a class="el" href="classarm__compute_1_1_g_c_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">GCTensor</a>
 , <a class="el" href="classarm__compute_1_1_lut.xhtml#a5330adc6ef4a662806ec236e2be07bbe">Lut</a>
 , <a class="el" href="classarm__compute_1_1_tensor.xhtml#a531ec877bfc923dea3ab6f1be5e6e1ac">Tensor</a>
@@ -390,6 +415,9 @@ $(document).ready(function(){initNavTree('functions_func.xhtml','');});
 <li>alpha()
 : <a class="el" href="classarm__compute_1_1_normalization_layer_info.xhtml#a4ee7f04c477d0e6a2a3609c24a8815b8">NormalizationLayerInfo</a>
 </li>
+<li>append()
+: <a class="el" href="classarm__compute_1_1graph_1_1_pass_manager.xhtml#a66b7dba05c5fbdb79f5eb6d85c5ccce4">PassManager</a>
+</li>
 <li>are_all_finalized()
 : <a class="el" href="classarm__compute_1_1_i_lifetime_manager.xhtml#a1bb5a543056e56ff45f413040d316312">ILifetimeManager</a>
 , <a class="el" href="classarm__compute_1_1_i_simple_lifetime_manager.xhtml#aa849cbaa03d63911dbbedc830f22943d">ISimpleLifetimeManager</a>
@@ -406,9 +434,15 @@ $(document).ready(function(){initNavTree('functions_func.xhtml','');});
 <li>ArrayAccessor()
 : <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml#a53235c85779895ae247e7182a020e631">ArrayAccessor&lt; T &gt;</a>
 </li>
+<li>AssemblyKernelGlue()
+: <a class="el" href="classarm__compute_1_1_assembly_kernel_glue.xhtml#a4d00b55a18d07d51dd3c2d7a018cfdb3">AssemblyKernelGlue&lt; TypeInput, TypeOutput &gt;</a>
+</li>
 <li>AssetsLibrary()
 : <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml#adb53338108890e6b7354e16a1e9ae716">AssetsLibrary</a>
 </li>
+<li>assigned_target()
+: <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a72123a16315dde55dade52690642f56c">INode</a>
+</li>
 <li>at()
 : <a class="el" href="classarm__compute_1_1_i_array.xhtml#a861d8aa0fbeb6a0a33ec8d556b7e8657">IArray&lt; T &gt;</a>
 , <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml#aa733629a56800aca0b5cb4608069718b">ArrayAccessor&lt; T &gt;</a>
@@ -423,13 +457,16 @@ $(document).ready(function(){initNavTree('functions_func.xhtml','');});
 <li>available_instruments()
 : <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a19a641ac841ecb3f867a75b374b36f61">Framework</a>
 </li>
+<li>axis()
+: <a class="el" href="classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a0e59cd433be4926d73bf74976f7f476b">SplitLayerNode</a>
+</li>
 </ul>
 </div><!-- contents -->
 </div><!-- doc-content -->
 <!-- start footer part -->
 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
   <ul>
-    <li class="footer">Generated on Wed Jan 24 2018 14:30:48 for Compute Library by
+    <li class="footer">Generated on Wed May 23 2018 11:36:46 for Compute Library by
     <a href="http://www.doxygen.org/index.html">
     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
   </ul>