arm_compute v18.05
diff --git a/documentation/functions_g.xhtml b/documentation/functions_g.xhtml
index 98ed7a4..a090e75 100644
--- a/documentation/functions_g.xhtml
+++ b/documentation/functions_g.xhtml
@@ -40,7 +40,7 @@
<tr style="height: 56px;">
<td style="padding-left: 0.5em;">
<div id="projectname">Compute Library
-  <span id="projectnumber">18.03</span>
+  <span id="projectnumber">18.05</span>
</div>
</td>
</tr>
@@ -182,11 +182,14 @@
<li>GCBatchNormalizationLayerKernel()
: <a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#abbbf878d788fb75b9af735fd238a7553">GCBatchNormalizationLayerKernel</a>
</li>
+<li>GCBufferAllocator()
+: <a class="el" href="classarm__compute_1_1_g_c_buffer_allocator.xhtml#a7aca294a45514ba68243f5f09d4ee471">GCBufferAllocator</a>
+</li>
<li>GCCol2ImKernel()
: <a class="el" href="classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a3e3035668c6d03b9bf68dca65222b7d9">GCCol2ImKernel</a>
</li>
<li>GCConvolutionLayer()
-: <a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml#ae6185d11854eebe4e07a612a6716a472">GCConvolutionLayer</a>
+: <a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml#a3f5eb5b7c01f8912b75ed6703327546d">GCConvolutionLayer</a>
</li>
<li>GCConvolutionLayerReshapeWeights()
: <a class="el" href="classarm__compute_1_1_g_c_convolution_layer_reshape_weights.xhtml#ab2cb1decf7fb2217d6f7b85c1c6b60a0">GCConvolutionLayerReshapeWeights</a>
@@ -203,6 +206,9 @@
<li>GCDepthwiseConvolutionLayer3x3Kernel()
: <a class="el" href="classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a5b01f75ce20fddeb91acf0bfb9042ba3">GCDepthwiseConvolutionLayer3x3Kernel</a>
</li>
+<li>GCDeviceBackend()
+: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_g_c_device_backend.xhtml#a484204d36ec103b7afbd126a02a6a4c0">GCDeviceBackend</a>
+</li>
<li>GCDirectConvolutionLayer()
: <a class="el" href="classarm__compute_1_1_g_c_direct_convolution_layer.xhtml#a457c6a685b2fe36fd12dd640f6155c31">GCDirectConvolutionLayer</a>
</li>
@@ -219,10 +225,10 @@
: <a class="el" href="classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a12fb6b653fe5096135017420a02e79b0">GCFillBorderKernel</a>
</li>
<li>GCFullyConnectedLayer()
-: <a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#a72b2bdf0cae7f6e47b0d5f957de6d304">GCFullyConnectedLayer</a>
+: <a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#ac0ce422247b7eae1a1931b9717c86ba5">GCFullyConnectedLayer</a>
</li>
<li>GCGEMM()
-: <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m.xhtml#a436c89a6209d7de142e7e5eabb9debd1">GCGEMM</a>
+: <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m.xhtml#a0594de1f88abc329c5cc8df318cca6c4">GCGEMM</a>
</li>
<li>GCGEMMInterleave4x4Kernel()
: <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#a28bcc9be8f0ebc7b99cfdaa57e0782b2">GCGEMMInterleave4x4Kernel</a>
@@ -252,7 +258,7 @@
: <a class="el" href="classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#ae41006842192a2fd2ad98f3887adb06f">GCLogits1DShiftExpSumKernel</a>
</li>
<li>GCNormalizationLayer()
-: <a class="el" href="classarm__compute_1_1_g_c_normalization_layer.xhtml#a87b3f416afc5e40915e193d3f724edd5">GCNormalizationLayer</a>
+: <a class="el" href="classarm__compute_1_1_g_c_normalization_layer.xhtml#a0f6772d2f730cfaa60a07d172094bfb7">GCNormalizationLayer</a>
</li>
<li>GCNormalizationLayerKernel()
: <a class="el" href="classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#ae1756c03bc72b902f3becf04a2cb725c">GCNormalizationLayerKernel</a>
@@ -276,13 +282,16 @@
: <a class="el" href="classarm__compute_1_1_g_c_program.xhtml#aca45a2e24e9ad0a4ebaf2964589a6934">GCProgram</a>
</li>
<li>GCSoftmaxLayer()
-: <a class="el" href="classarm__compute_1_1_g_c_softmax_layer.xhtml#a32272e4cdb38d2620ed64fff59fc126e">GCSoftmaxLayer</a>
+: <a class="el" href="classarm__compute_1_1_g_c_softmax_layer.xhtml#a4c3d471a20099610ef1d617dbaf4b2d6">GCSoftmaxLayer</a>
</li>
<li>GCTensor()
: <a class="el" href="classarm__compute_1_1_g_c_tensor.xhtml#a4f2f38059311cf163fde21d2414048ee">GCTensor</a>
</li>
<li>GCTensorAllocator()
-: <a class="el" href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#a4c52d0475ea53645c122adac0ebde9ab">GCTensorAllocator</a>
+: <a class="el" href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#aee6bdd0d3cf57c6f2790de67c10dee8f">GCTensorAllocator</a>
+</li>
+<li>GCTensorHandle()
+: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#a137d77ac8b95bbf53389dab5be4377d0">GCTensorHandle</a>
</li>
<li>GCTensorShiftKernel()
: <a class="el" href="classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#ab622a0c2dba7d8b8059bc5049f48f5ff">GCTensorShiftKernel</a>
@@ -299,9 +308,6 @@
<li>generate_convolver()
: <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#af77d9d6fcc740068192d3fca9421311f">NEDepthwiseConvolutionLayer3x3Kernel</a>
</li>
-<li>generate_input_shapes()
-: <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_depth_concatenate_layer_fixture.xhtml#ab37a6ce7abc647cab25610539db7f11a">DepthConcatenateLayerFixture< TensorType, ITensorType, Function, AccessorType ></a>
-</li>
<li>get()
: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#aebe2d25607545d31f2b1ace6d60a81da">CLKernelLibrary</a>
, <a class="el" href="classarm__compute_1_1_c_l_scheduler.xhtml#a60f9a6836b628a7171914c4afe43b4a7">CLScheduler</a>
@@ -310,15 +316,20 @@
, <a class="el" href="classarm__compute_1_1_g_c_kernel_library.xhtml#abda5f31afe32726ca4dd36d9a480d3f2">GCKernelLibrary</a>
, <a class="el" href="classarm__compute_1_1_g_c_scheduler.xhtml#ac758c6b5a7ccc31b7193cfde59c32109">GCScheduler</a>
, <a class="el" href="classarm__compute_1_1gles_1_1_n_d_range.xhtml#a40a46217cd83c9fb540e1fed00973f5d">NDRange</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_operation_registry.xhtml#a20885c0ad6ee18d2bb0c0177a9b38744">OperationRegistry</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a3851f0b0de82d7618cf26dacbc33dbaf">BackendRegistry</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_task_executor.xhtml#aec0e857c194f504758eeacd10b65f210">TaskExecutor</a>
, <a class="el" href="classarm__compute_1_1logging_1_1_logger_registry.xhtml#a56eefda612262945a6f832d1196ee720">LoggerRegistry</a>
, <a class="el" href="classarm__compute_1_1_o_m_p_scheduler.xhtml#a9571a5288c1b52189b63f9e1074768e3">OMPScheduler</a>
-, <a class="el" href="classarm__compute_1_1_pixel_value.xhtml#a1541aac2858109c409fcf5eb4ba7799e">PixelValue</a>
+, <a class="el" href="classarm__compute_1_1_pixel_value.xhtml#ac66bff5206364de49b3159e9cc9d3e58">PixelValue</a>
, <a class="el" href="classarm__compute_1_1_scheduler.xhtml#acb4f87f1831680d8d1b70e1bef06bb81">Scheduler</a>
, <a class="el" href="classarm__compute_1_1_single_thread_scheduler.xhtml#ad2239fa50e4adfc02e94407d0b846077">SingleThreadScheduler</a>
+, <a class="el" href="classarm__compute_1_1strong__type_1_1_strong_type.xhtml#a73f799e2233b063893121b058004f575">StrongType< T, Tag, Attributes ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary</a>
, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#af8fbb8b386d3cce307a89002bcdbcfc9">Framework</a>
</li>
+<li>get_built_programs()
+: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a06fff433db9536097242dd9ab2188007">CLKernelLibrary</a>
+</li>
<li>get_classifications()
: <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_alex_net_network.xhtml#a1466ef70729f3c8b5da5ebfec3f53f26">AlexNetNetwork< ITensorType, TensorType, SubTensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction ></a>
, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_le_net5_network.xhtml#a1466ef70729f3c8b5da5ebfec3f53f26">LeNet5Network< TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction ></a>
@@ -326,8 +337,14 @@
, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_mobile_net_v1_network.xhtml#a1466ef70729f3c8b5da5ebfec3f53f26">MobileNetV1Network< TensorType, Accessor, ActivationLayerFunction, BatchNormalizationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionFunction, ReshapeFunction, PoolingLayerFunction, SoftmaxLayerFunction ></a>
</li>
<li>get_convolution_method()
-: <a class="el" href="classarm__compute_1_1_c_l_convolution_layer.xhtml#a5a40ceb849aeb8dc1a3e2cc9d5c49813">CLConvolutionLayer</a>
-, <a class="el" href="classarm__compute_1_1_n_e_convolution_layer.xhtml#a80c35437174d22ead97c59257bf05d3e">NEConvolutionLayer</a>
+: <a class="el" href="classarm__compute_1_1_c_l_convolution_layer.xhtml#ad6b4f6f831d314f58a3be6593326273d">CLConvolutionLayer</a>
+, <a class="el" href="classarm__compute_1_1_n_e_convolution_layer.xhtml#a0c916a941e4452e28e2cd6411a246962">NEConvolutionLayer</a>
+</li>
+<li>get_cpu_model()
+: <a class="el" href="classarm__compute_1_1_c_p_u_info.xhtml#a6a92d9020af0ada82f7437e7a1425224">CPUInfo</a>
+</li>
+<li>get_device_version()
+: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#aef78b2e57b5203f8a184465e2da020ef">CLKernelLibrary</a>
</li>
<li>get_gl_ssbo_name()
: <a class="el" href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#acb35468f30f12a68bf3c3f227d85a1df">GCTensorAllocator</a>
@@ -342,6 +359,12 @@
<li>get_kernel_path()
: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#ad7395c158d8e31b9af211b9bc1f65a08">CLKernelLibrary</a>
</li>
+<li>get_L1_cache_size()
+: <a class="el" href="classarm__compute_1_1_c_p_u_info.xhtml#aaa9c3be024981dcb76d45e31f7ba4812">CPUInfo</a>
+</li>
+<li>get_L2_cache_size()
+: <a class="el" href="classarm__compute_1_1_c_p_u_info.xhtml#ae9d9d483cf960f3a82a423ced1f2a8fc">CPUInfo</a>
+</li>
<li>get_matrix_stride()
: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_input_kernel.xhtml#ae25b6ed77179808984b17c39e078ad96">INEWinogradLayerTransformInputKernel< T ></a>
, <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#ae25b6ed77179808984b17c39e078ad96">INEWinogradLayerTransformOutputKernel< T ></a>
@@ -392,7 +415,9 @@
, <a class="el" href="classarm__compute_1_1_pyramid.xhtml#a4187fb90f552249901da9febb67d8b7a">Pyramid</a>
</li>
<li>get_target()
-: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a646cd535a16835b246c3367a63d96250">ICLKernel</a>
+: <a class="el" href="classarm__compute_1_1_g_c_scheduler.xhtml#a646cd535a16835b246c3367a63d96250">GCScheduler</a>
+, <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a646cd535a16835b246c3367a63d96250">ICLKernel</a>
+, <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a646cd535a16835b246c3367a63d96250">IGCKernel</a>
</li>
<li>get_type()
: <a class="el" href="classarm__compute_1_1_scheduler.xhtml#ab394515f710c2aac0f132ecc0b9323d9">Scheduler</a>
@@ -404,95 +429,33 @@
: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#ad670ceec7efb9583d3ab5ae0700bf028">INEWinogradLayerTransformWeightsKernel< T ></a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#abfe717774e572988b63fdd5a69364eb9">NEWinogradLayerTransformWeightsKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
</li>
-<li>GlobalPoolingShapes()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_global_pooling_shapes.xhtml#aa2f05979de5779a1ea507dce1b721566">GlobalPoolingShapes</a>
+<li>GLBufferWrapper()
+: <a class="el" href="classarm__compute_1_1_g_l_buffer_wrapper.xhtml#afc8addd4fdd0f2192f5cdbfa4bd2901e">GLBufferWrapper</a>
</li>
-<li>GoogleNetGEMMDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_google_net_g_e_m_m_dataset.xhtml#a6e632f30690cefa56f5bb98e892785bd">GoogleNetGEMMDataset</a>
+<li>gpu_target
+: <a class="el" href="structarm__compute_1_1_c_l_device_options.xhtml#aadf3b16e351860b4ba10a540a621b392">CLDeviceOptions</a>
</li>
-<li>GoogLeNetInceptionV1ActivationLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_activation_layer_dataset.xhtml#a0c629e043d10e93dcaec22168695b385">GoogLeNetInceptionV1ActivationLayerDataset</a>
+<li>Graph
+: <a class="el" href="classarm__compute_1_1graph_1_1_edge.xhtml#afab89afd724f1b07b1aaad6bdc61c47a">Edge</a>
</li>
-<li>GoogLeNetInceptionV1ConvolutionLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_convolution_layer_dataset.xhtml#a9a3d978819027d2adae9b71b5cd0d2b8">GoogLeNetInceptionV1ConvolutionLayerDataset</a>
-</li>
-<li>GoogLeNetInceptionV1DirectConvolutionLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_direct_convolution_layer_dataset.xhtml#aefbe31466b0860964ac8fbd00ca87280">GoogLeNetInceptionV1DirectConvolutionLayerDataset</a>
-</li>
-<li>GoogLeNetInceptionV1FullyConnectedLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_fully_connected_layer_dataset.xhtml#a8ad86e3bfaf17b7771fad1b89dd06684">GoogLeNetInceptionV1FullyConnectedLayerDataset</a>
-</li>
-<li>GoogLeNetInceptionV1GEMMDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_g_e_m_m_dataset.xhtml#a8672faf8b1099707721daff025765fbc">GoogLeNetInceptionV1GEMMDataset</a>
-</li>
-<li>GoogLeNetInceptionV1NormalizationLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_normalization_layer_dataset.xhtml#ad45fbeb5ea23a02052a7e1781f0576bb">GoogLeNetInceptionV1NormalizationLayerDataset</a>
-</li>
-<li>GoogLeNetInceptionV1PoolingLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_pooling_layer_dataset.xhtml#a86b04a52c102d48d662ef675d627efd0">GoogLeNetInceptionV1PoolingLayerDataset</a>
-</li>
-<li>GoogLeNetInceptionV1WinogradLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_winograd_layer_dataset.xhtml#af7dbcd903dd2742a455edd24e6b5ed4f">GoogLeNetInceptionV1WinogradLayerDataset</a>
-</li>
-<li>GoogLeNetInceptionV4ActivationLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_activation_layer_dataset.xhtml#a12a57f414e425280743da474b259bd31">GoogLeNetInceptionV4ActivationLayerDataset</a>
-</li>
-<li>GoogLeNetInceptionV4BatchNormalizationLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_batch_normalization_layer_dataset.xhtml#a5c56b0d715939df7ca959944960a7555">GoogLeNetInceptionV4BatchNormalizationLayerDataset</a>
-</li>
-<li>GoogLeNetInceptionV4ConvolutionLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_convolution_layer_dataset.xhtml#a8d29b2e598c645471e9b978e4317d3d9">GoogLeNetInceptionV4ConvolutionLayerDataset</a>
-</li>
-<li>GoogLeNetInceptionV4DirectConvolutionLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_direct_convolution_layer_dataset.xhtml#a90f7d9e9a8a5c2f6e835731554319481">GoogLeNetInceptionV4DirectConvolutionLayerDataset</a>
-</li>
-<li>GoogLeNetInceptionV4FullyConnectedLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_fully_connected_layer_dataset.xhtml#a0e3a7975960a7a9aaf9c17cca2e9a8c0">GoogLeNetInceptionV4FullyConnectedLayerDataset</a>
-</li>
-<li>GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_normalize_planar_y_u_v_layer_dataset.xhtml#ac9a8eb242d4bffa411886d9293b205f9">GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset</a>
-</li>
-<li>GoogLeNetInceptionV4PoolingLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_pooling_layer_dataset.xhtml#a169de687b2e9235db9af906dd7528bb4">GoogLeNetInceptionV4PoolingLayerDataset</a>
-</li>
-<li>GoogLeNetInceptionV4WinogradLayerDataset()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_winograd_layer_dataset.xhtml#a34dcb79ea64bb0e953d9b8edcb0c286f">GoogLeNetInceptionV4WinogradLayerDataset</a>
-</li>
-<li>gpu_available_memory_size
-: <a class="el" href="structmali__userspace_1_1mali__base__gpu__core__props.xhtml#aa4017b592302af592aca556e4cb49099">mali_base_gpu_core_props</a>
-</li>
-<li>gpu_freq_khz_max
-: <a class="el" href="structmali__userspace_1_1mali__base__gpu__core__props.xhtml#a8725d76f659bb6227b77073bd2c61e88">mali_base_gpu_core_props</a>
-</li>
-<li>gpu_freq_khz_min
-: <a class="el" href="structmali__userspace_1_1mali__base__gpu__core__props.xhtml#a45d871f7e3eed35198b89b61649d56d2">mali_base_gpu_core_props</a>
-</li>
-<li>gpu_id
-: <a class="el" href="structmali__userspace_1_1gpu__raw__gpu__props.xhtml#ab2b81d8aa4523e95e3f6244bca52a556">gpu_raw_gpu_props</a>
-</li>
-<li>gpu_speed_mhz
-: <a class="el" href="structmali__userspace_1_1mali__base__gpu__core__props.xhtml#acee64366b6aa7e475082c84ca98e6884">mali_base_gpu_core_props</a>
-</li>
-<li>gpu_target()
-: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#ab0094e1bc5c4a6c433c654786c83993c">Graph</a>
-</li>
-<li>GradientDimensions()
-: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_gradient_dimensions.xhtml#a340b012986539040d59dc9cccabf4a61">GradientDimensions</a>
+<li>graph
+: <a class="el" href="structarm__compute_1_1graph_1_1_execution_workload.xhtml#a2360aba01fa93c8493ba96683c4fb89c">ExecutionWorkload</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a2f9edb3a23ff98069aaa52590d53bf5f">IStream</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a51dadcfc4a2bbd3ffa4c595c1cca6fd8">Stream</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml#a3babb9fefb3dff73886ad6985c2fb5ab">SubStream</a>
</li>
<li>Graph()
-: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#afc5ef9d72cc2c509814200791eaef62c">Graph</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a274f7443d93573083a86839782b5093c">Graph</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#afab89afd724f1b07b1aaad6bdc61c47a">INode</a>
</li>
-<li>graph_init()
-: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a049136304344524f3d13c052c6fe1f7d">Graph</a>
+<li>graph()
+: <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#aff1c67aacd9b499aa083c6ef0b72d0eb">INode</a>
</li>
<li>GraphContext()
: <a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml#a75608104021b41a6c999e4d076f24905">GraphContext</a>
</li>
-<li>GraphHints()
-: <a class="el" href="classarm__compute_1_1graph_1_1_graph_hints.xhtml#af3c401ceece4cb12095df35411ec78f8">GraphHints</a>
-</li>
-<li>group
-: <a class="el" href="structmali__userspace_1_1mali__base__gpu__coherent__group__info.xhtml#a263b80b4971e2c15ad2d7f9d421b2899">mali_base_gpu_coherent_group_info</a>
+<li>GraphManager()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_manager.xhtml#aa742e720f48c2a00c3c1d7cd2e13285c">GraphManager</a>
</li>
<li>gws_from_window()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a4b4a20e518c04e657839280cd486a85d">ICLKernel</a>
@@ -503,7 +466,7 @@
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
- <li class="footer">Generated on Fri Mar 2 2018 12:38:02 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>