arm_compute v18.08
diff --git a/documentation/functions_func_f.xhtml b/documentation/functions_func_f.xhtml
index f107997..26adc14 100644
--- a/documentation/functions_func_f.xhtml
+++ b/documentation/functions_func_f.xhtml
@@ -40,7 +40,7 @@
<tr style="height: 56px;">
<td style="padding-left: 0.5em;">
<div id="projectname">Compute Library
-  <span id="projectnumber">18.05</span>
+  <span id="projectnumber">18.08</span>
</div>
</td>
</tr>
@@ -162,14 +162,11 @@
<li>fast_math_hint()
: <a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a5d23729a29c27170ce6607223a5e47a0">ConvolutionLayerNode</a>
</li>
-<li>feed()
-: <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_alex_net_network.xhtml#a3a41262ce9aed70a248ecefae646013b">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#a3a41262ce9aed70a248ecefae646013b">LeNet5Network< TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction ></a>
-, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_mobile_net_network.xhtml#a3a41262ce9aed70a248ecefae646013b">MobileNetNetwork< TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionLayerFunction, ReshapeFunction, PoolingLayerFunction ></a>
-, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_mobile_net_v1_network.xhtml#a3a41262ce9aed70a248ecefae646013b">MobileNetV1Network< TensorType, Accessor, ActivationLayerFunction, BatchNormalizationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionFunction, ReshapeFunction, PoolingLayerFunction, SoftmaxLayerFunction ></a>
-</li>
<li>FileHandler()
-: <a class="el" href="classarm__compute_1_1io_1_1_file_handler.xhtml#a91b520f21421ff8fe1326635142276a9">FileHandler</a>
+: <a class="el" href="classarm__compute_1_1io_1_1_file_handler.xhtml#a7a105e8757c6bbbe0e6be820ce84f1ed">FileHandler</a>
+</li>
+<li>FileImageFeeder()
+: <a class="el" href="classarm__compute_1_1utils_1_1_file_image_feeder.xhtml#a72f5e7f7f675855cd757c284c3767b0f">FileImageFeeder</a>
</li>
<li>filename()
: <a class="el" href="classarm__compute_1_1io_1_1_file_handler.xhtml#a16182afd0af6163476284de586c66c9d">FileHandler</a>
@@ -181,27 +178,19 @@
: <a class="el" href="classarm__compute_1_1logging_1_1_file_printer.xhtml#a3d5886d2a5060e266219c43d06338350">FilePrinter</a>
</li>
<li>fill()
-: <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a4d049b9a5aba1f30b51f4bd36c3db076">AssetsLibrary</a>
-, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_alex_net_network.xhtml#aab0a3920e581535eeb32febaf20dca50">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#aab0a3920e581535eeb32febaf20dca50">LeNet5Network< TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction ></a>
+: <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a32621ba3c7498c558f27e61606af85f4">AssetsLibrary</a>
</li>
<li>fill_borders_with_garbage()
: <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a9a6d9b68649fb7444ca36b5c651dfdda">AssetsLibrary</a>
</li>
<li>fill_image()
-: <a class="el" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a1672610b872bef30d0dc2333a0ffc402">PPMLoader</a>
+: <a class="el" href="classarm__compute_1_1utils_1_1_i_image_loader.xhtml#a1672610b872bef30d0dc2333a0ffc402">IImageLoader</a>
</li>
<li>fill_layer_data()
: <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml#ad85dc4c57a27c44d114c573b9a80bad6">AssetsLibrary</a>
</li>
<li>fill_planar_tensor()
-: <a class="el" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a7c3f70e1caee95bb95c62346e130e5ab">PPMLoader</a>
-</li>
-<li>fill_random()
-: <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_alex_net_network.xhtml#a3b778cda9ac3fad08e7217edbcb942e0">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#a3b778cda9ac3fad08e7217edbcb942e0">LeNet5Network< TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction ></a>
-, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_mobile_net_network.xhtml#a3b778cda9ac3fad08e7217edbcb942e0">MobileNetNetwork< TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionLayerFunction, ReshapeFunction, PoolingLayerFunction ></a>
-, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_mobile_net_v1_network.xhtml#a3b778cda9ac3fad08e7217edbcb942e0">MobileNetV1Network< TensorType, Accessor, ActivationLayerFunction, BatchNormalizationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionFunction, ReshapeFunction, PoolingLayerFunction, SoftmaxLayerFunction ></a>
+: <a class="el" href="classarm__compute_1_1utils_1_1_i_image_loader.xhtml#a7c3f70e1caee95bb95c62346e130e5ab">IImageLoader</a>
</li>
<li>fill_tensor()
: <a class="el" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a055a51a536088065021a54e13968521d">NPYLoader</a>
@@ -230,6 +219,9 @@
<li>find_backend()
: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#ac1794eb37cf7ace4b8e0f9bf759df6e4">BackendRegistry</a>
</li>
+<li>first_element()
+: <a class="el" href="classarm__compute_1_1_tensor_accessor.xhtml#ad27053e8c4c5c039419915e9abdf9f63">TensorAccessor< T ></a>
+</li>
<li>first_slice_window_1D()
: <a class="el" href="classarm__compute_1_1_window.xhtml#a3676505cf898acf69de5cd1724ae9330">Window</a>
</li>
@@ -242,25 +234,6 @@
<li>first_slice_window_4D()
: <a class="el" href="classarm__compute_1_1_window.xhtml#ad1d50c623e1bcf24f3a32cf61ed6330f">Window</a>
</li>
-<li>fixed_one()
-: <a class="el" href="structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1constant__expr.xhtml#a9c4b593f19fb9053fd52697eaa30c5d7">constant_expr< T ></a>
-</li>
-<li>fixed_point()
-: <a class="el" href="classarm__compute_1_1test_1_1fixed__point__arithmetic_1_1fixed__point.xhtml#ad9fb776e0556cf222c31feb9f372ea32">fixed_point< T ></a>
-</li>
-<li>fixed_point_position()
-: <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ab21a362740e892b6e913bd8db03b0e67">ITensorInfo</a>
-, <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">SubTensorInfo</a>
-, <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">TensorInfo</a>
-, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">Accessor</a>
-, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">CLAccessor</a>
-, <a class="el" href="classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">GCAccessor</a>
-, <a class="el" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#ab21a362740e892b6e913bd8db03b0e67">IAccessor</a>
-, <a class="el" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">SimpleTensor< T ></a>
-</li>
-<li>fixed_step()
-: <a class="el" href="structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1constant__expr.xhtml#a125e978e1d6df0f6d9f738b0c580f980">constant_expr< T ></a>
-</li>
<li>FlattenLayer()
: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_flatten_layer.xhtml#a9122dc9cbefd8f81b092eadeae658202">FlattenLayer</a>
</li>
@@ -282,10 +255,13 @@
<li>forward_descriptors()
: <a class="el" href="classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">ActivationLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">BatchNormalizationLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">ChannelShuffleLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">ConcatenateLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_const_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">ConstNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">ConvolutionLayerNode</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_depth_concatenate_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">DepthConcatenateLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">DeconvolutionLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">DepthwiseConvolutionLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_dummy_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">DummyNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">EltwiseLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">FlattenLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">FullyConnectedLayerNode</a>
@@ -293,14 +269,19 @@
, <a class="el" href="classarm__compute_1_1graph_1_1_input_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">InputNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">NormalizationLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_output_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">OutputNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">PermuteLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">PoolingLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">ReshapeLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">ResizeLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">SoftmaxLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">SplitLayerNode</a>
</li>
<li>forward_tail()
: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a3d1067259b70c7d8753be5062a4b9f6d">IStream</a>
</li>
+<li>fp16_supported()
+: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a455ee4f3f76a574915a7f266c46dbe98">CLKernelLibrary</a>
+</li>
<li>free()
: <a class="el" href="classarm__compute_1_1_allocator.xhtml#abbd17af5b3fbeff226e4051433c1b929">Allocator</a>
, <a class="el" href="classarm__compute_1_1_c_l_buffer_allocator.xhtml#abbd17af5b3fbeff226e4051433c1b929">CLBufferAllocator</a>
@@ -320,10 +301,10 @@
, <a class="el" href="classarm__compute_1_1_tensor_allocator.xhtml#a1468b0adb6ec3f9d38aa7d60b8a91974">TensorAllocator</a>
</li>
<li>FullyConnectedLayer()
-: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml#ae0a28c6a7a3c5ea2f5087f7eb05eb4a2">FullyConnectedLayer</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml#aed1efef2ff5d9d98937162e3220b9412">FullyConnectedLayer</a>
</li>
<li>FullyConnectedLayerNode()
-: <a class="el" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a760c5a0a551e2fd700cbac82cc87fed4">FullyConnectedLayerNode</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#af62c7158fbabce358a6f6f0efee791d0">FullyConnectedLayerNode</a>
</li>
<li>fused_activation()
: <a class="el" href="classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#aca1fe39a6d201339dadae756d28c17b4">BatchNormalizationLayerNode</a>
@@ -334,7 +315,7 @@
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
- <li class="footer">Generated on Wed May 23 2018 11:36:46 for Compute Library by
+ <li class="footer">Generated on Wed Aug 29 2018 15:31:58 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>