arm_compute v18.08
diff --git a/documentation/functions_c.xhtml b/documentation/functions_c.xhtml
index 55ed0dd..7566ba7 100644
--- a/documentation/functions_c.xhtml
+++ b/documentation/functions_c.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>
@@ -195,6 +195,12 @@
: <a class="el" href="classarm__compute_1_1_dimensions.xhtml#adf9b6d55d708c285d58511a780e937fc">Dimensions< T ></a>
, <a class="el" href="classarm__compute_1_1utils_1_1iterable_1_1reverse__iterable.xhtml#a578325e8b0dc17e808d4a39f305ac2d2">reverse_iterable< T ></a>
</li>
+<li>ChannelShuffleLayer()
+: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_channel_shuffle_layer.xhtml#aff5aec1faefad58676969dcb1f5b7b5b">ChannelShuffleLayer</a>
+</li>
+<li>ChannelShuffleLayerNode()
+: <a class="el" href="classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a7c3cc634216bd521da05fce5ba8e699a">ChannelShuffleLayerNode</a>
+</li>
<li>cl_buffer()
: <a class="el" href="classarm__compute_1_1_c_l_array.xhtml#afd44a3d7dad6d984b1b87bc9f1b4fa02">CLArray< T ></a>
, <a class="el" href="classarm__compute_1_1_c_l_distribution1_d.xhtml#a55dcc12377d15f244c59975f7cd1f623">CLDistribution1D</a>
@@ -214,8 +220,8 @@
, <a class="el" href="classarm__compute_1_1_i_c_l_memory_region.xhtml#a7f4714c4a9320d1760102ef78a984241">ICLMemoryRegion</a>
</li>
<li>cl_model()
-: <a class="el" href="classarm__compute_1_1_c_l_multi_h_o_g.xhtml#a33d093c2031c097bc740f8b6c76165ca">CLMultiHOG</a>
-, <a class="el" href="classarm__compute_1_1_i_c_l_multi_h_o_g.xhtml#a5ae9e122f1b39908b8602cc0acc035c8">ICLMultiHOG</a>
+: <a class="el" href="classarm__compute_1_1_c_l_multi_h_o_g.xhtml#a1a99e756de756c36ce69b206847725f8">CLMultiHOG</a>
+, <a class="el" href="classarm__compute_1_1_i_c_l_multi_h_o_g.xhtml#aec23164646e42c512d783eda60017f7e">ICLMultiHOG</a>
</li>
<li>cl_plane()
: <a class="el" href="classarm__compute_1_1_c_l_multi_image.xhtml#a0d104ade841ef3aa9b0783b25836ea19">CLMultiImage</a>
@@ -230,13 +236,12 @@
<li>CLActivationLayerKernel()
: <a class="el" href="classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a25c6b2015d9ec0c05a1f561458b445f0">CLActivationLayerKernel</a>
</li>
-<li>clamp()
-: <a class="el" href="structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1constant__expr.xhtml#a996cf0a2779076326d094ef9d75ddd1f">constant_expr< T ></a>
-, <a class="el" href="structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1functions.xhtml#a2d681ad37360fc4497f147af98951ba0">functions</a>
-</li>
<li>CLArithmeticAdditionKernel()
: <a class="el" href="classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#acf31277f55278d3b74ad6d2c5736801f">CLArithmeticAdditionKernel</a>
</li>
+<li>CLArithmeticDivisionKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#a37f82a3ebd082f363351967d27a6a574">CLArithmeticDivisionKernel</a>
+</li>
<li>CLArithmeticSubtractionKernel()
: <a class="el" href="classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a9ab43fc014673aea8868c688f6ec07ef">CLArithmeticSubtractionKernel</a>
</li>
@@ -250,7 +255,7 @@
: <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#aa75c9e345235e7031d6489425e53645a">CLBatchNormalizationLayer</a>
</li>
<li>CLBatchNormalizationLayerKernel()
-: <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#ad4629474705ece1b64341456c6063431">CLBatchNormalizationLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#ab987e77a362a53aa778193528bd8bb55">CLBatchNormalizationLayerKernel</a>
</li>
<li>CLBitwiseAndKernel()
: <a class="el" href="classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#ac869cc631a8124614900ad6f2c463882">CLBitwiseAndKernel</a>
@@ -294,6 +299,9 @@
<li>CLColorConvertKernel()
: <a class="el" href="classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a4844aa081e1ca7adaf70257a962edfab">CLColorConvertKernel</a>
</li>
+<li>CLConcatenateLayer()
+: <a class="el" href="classarm__compute_1_1_c_l_concatenate_layer.xhtml#ab5149d6d9cfac72e0d1f7c83045bb079">CLConcatenateLayer</a>
+</li>
<li>CLConvertFullyConnectedWeightsKernel()
: <a class="el" href="classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#afccf9b2ebcad0e6b3049b138fb6b800b">CLConvertFullyConnectedWeightsKernel</a>
</li>
@@ -321,6 +329,9 @@
<li>clCreateCommandQueue_ptr
: <a class="el" href="classarm__compute_1_1_c_l_symbols.xhtml#a9edd71637c165f39e1913b22bdafcd67">CLSymbols</a>
</li>
+<li>clCreateContext_ptr
+: <a class="el" href="classarm__compute_1_1_c_l_symbols.xhtml#a14a1465f79e3703561c9ee0723276603">CLSymbols</a>
+</li>
<li>clCreateContextFromType_ptr
: <a class="el" href="classarm__compute_1_1_c_l_symbols.xhtml#af60dbcf4d37ee4dd2c34cfbf08e64671">CLSymbols</a>
</li>
@@ -340,7 +351,7 @@
: <a class="el" href="classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#ab6371be80b2ea45d562bcba07d3144bc">CLDeconvolutionLayerUpsample</a>
</li>
<li>CLDeconvolutionLayerUpsampleKernel()
-: <a class="el" href="classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a71e3d2871a5312c0614d99b817befaba">CLDeconvolutionLayerUpsampleKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a33fc24bd45189ec68cea1b30f16fc645">CLDeconvolutionLayerUpsampleKernel</a>
</li>
<li>CLDepthConcatenateLayer()
: <a class="el" href="classarm__compute_1_1_c_l_depth_concatenate_layer.xhtml#a59330f009ee600700828b178f60a9b58">CLDepthConcatenateLayer</a>
@@ -349,7 +360,7 @@
: <a class="el" href="classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a8e3fa88d9dd4a7d185096527ed7c5be4">CLDepthConcatenateLayerKernel</a>
</li>
<li>CLDepthwiseConvolutionLayer()
-: <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#a91056f09fefa0be08223e916425b827d">CLDepthwiseConvolutionLayer</a>
+: <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#a0d4e3a90bcdef691edfe09c701088e74">CLDepthwiseConvolutionLayer</a>
</li>
<li>CLDepthwiseConvolutionLayer3x3()
: <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#a7dd467b8b44b5e4cf6cdefe807a874b3">CLDepthwiseConvolutionLayer3x3</a>
@@ -408,10 +419,6 @@
, <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml#ac8bb3912a3ce86b15842e79d0b421204">IGCTensor</a>
, <a class="el" href="classarm__compute_1_1_i_lut.xhtml#a5eeb94d22b8366d1b68d0614384802fe">ILut</a>
, <a class="el" href="classarm__compute_1_1_lut.xhtml#aee7cb2065b88d21ac4ad05bc997ecf82">Lut</a>
-, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_alex_net_network.xhtml#ac8bb3912a3ce86b15842e79d0b421204">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#ac8bb3912a3ce86b15842e79d0b421204">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#ac8bb3912a3ce86b15842e79d0b421204">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#ac8bb3912a3ce86b15842e79d0b421204">MobileNetV1Network< TensorType, Accessor, ActivationLayerFunction, BatchNormalizationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionFunction, ReshapeFunction, PoolingLayerFunction, SoftmaxLayerFunction ></a>
</li>
<li>clear_arguments()
: <a class="el" href="classarm__compute_1_1_g_c_kernel.xhtml#a2ff24cc62df8324f57dcc2f3c9e533a9">GCKernel</a>
@@ -470,6 +477,9 @@
<li>clFinish_ptr
: <a class="el" href="classarm__compute_1_1_c_l_symbols.xhtml#a31fd3504c695582b52ee2426dc71c1d7">CLSymbols</a>
</li>
+<li>CLFlattenLayerKernel()
+: <a class="el" href="classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a199665cd64ca9f0d9b4bd9d48d59fbdc">CLFlattenLayerKernel</a>
+</li>
<li>CLFloorKernel()
: <a class="el" href="classarm__compute_1_1_c_l_floor_kernel.xhtml#acad9b66c8f47a3aa6ec172c2fb26117f">CLFloorKernel</a>
</li>
@@ -528,7 +538,7 @@
: <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a03d036e8e66cf1c8128c921bbca897a7">CLGEMMMatrixAdditionKernel</a>
</li>
<li>CLGEMMMatrixMultiplyKernel()
-: <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#ac46a1c8a20b46838c9e894f703ddd3ee">CLGEMMMatrixMultiplyKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a4805eb2e5f4597f660f41753e9748eb8">CLGEMMMatrixMultiplyKernel</a>
</li>
<li>CLGEMMMatrixVectorMultiplyKernel()
: <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a197b8558b1806d275f421b0667d201b2">CLGEMMMatrixVectorMultiplyKernel</a>
@@ -669,7 +679,7 @@
: <a class="el" href="classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#a249ee7b7204a6f63cf3563eda92e4d0e">CLMagnitudePhaseKernel</a>
</li>
<li>CLMeanStdDev()
-: <a class="el" href="classarm__compute_1_1_c_l_mean_std_dev.xhtml#aaa387018cbcc0f29df065cb98f2b32c6">CLMeanStdDev</a>
+: <a class="el" href="classarm__compute_1_1_c_l_mean_std_dev.xhtml#af155271d025ec7128806cb06f2e784a3">CLMeanStdDev</a>
</li>
<li>CLMeanStdDevKernel()
: <a class="el" href="classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a28577b89be9497a1f28902c996f37457">CLMeanStdDevKernel</a>
@@ -716,6 +726,9 @@
<li>close()
: <a class="el" href="classarm__compute_1_1io_1_1_file_handler.xhtml#a5ae591df94fc66ccb85cbb6565368bca">FileHandler</a>
, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml#a5ae591df94fc66ccb85cbb6565368bca">PMU</a>
+, <a class="el" href="classarm__compute_1_1utils_1_1_i_image_loader.xhtml#af6ee7eacbde6b379b68d954e44f6e549">IImageLoader</a>
+, <a class="el" href="classarm__compute_1_1utils_1_1_j_p_e_g_loader.xhtml#a7008bca493d69ea65f12e0940f3a6886">JPEGLoader</a>
+, <a class="el" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a7008bca493d69ea65f12e0940f3a6886">PPMLoader</a>
</li>
<li>CLPermuteKernel()
: <a class="el" href="classarm__compute_1_1_c_l_permute_kernel.xhtml#a155aa76403dc4051493ffb37389a27c7">CLPermuteKernel</a>
@@ -885,17 +898,23 @@
: <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#a3b572f2fcba6fcf8b944a9161b2d365f">TensorShape</a>
</li>
<li>color_output
-: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#a41c4e0b7da82201358ea94bf8e9b45b4">CommonOptions</a>
+: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#ab7984161940027ec6f8fc3a72026f364">CommonOptions</a>
</li>
<li>CommandLineParser()
-: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_command_line_parser.xhtml#a169ae39f7c9da9fee21c577ae5d7954f">CommandLineParser</a>
+: <a class="el" href="classarm__compute_1_1utils_1_1_command_line_parser.xhtml#a169ae39f7c9da9fee21c577ae5d7954f">CommandLineParser</a>
+</li>
+<li>common_node_params()
+: <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a923898bd4d886a6140b5d63635913d74">INode</a>
</li>
<li>common_type
: <a class="el" href="structarm__compute_1_1test_1_1common__promoted__signed__type.xhtml#a5dc4a681965ff1118a0491b07867c032">common_promoted_signed_type< T ></a>
, <a class="el" href="structarm__compute_1_1test_1_1common__promoted__unsigned__type.xhtml#a5dc4a681965ff1118a0491b07867c032">common_promoted_unsigned_type< T ></a>
</li>
+<li>CommonGraphOptions()
+: <a class="el" href="classarm__compute_1_1utils_1_1_common_graph_options.xhtml#aeea2bdaecbe56d3a5bed95161b14bd38">CommonGraphOptions</a>
+</li>
<li>CommonOptions()
-: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#a8a6279b9d4e0a96cf38ba1041b9999ca">CommonOptions</a>
+: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#a8662573f8e597136672eadf017f6b53c">CommonOptions</a>
</li>
<li>compare_base()
: <a class="el" href="structarm__compute_1_1test_1_1validation_1_1compare__base.xhtml#a42c8a61b86fc900746fef0f1f70a9430">compare_base< T ></a>
@@ -907,10 +926,11 @@
: <a class="el" href="classarm__compute_1_1_g_c_program.xhtml#acab405c2120743ab9e063930064a6b0a">GCProgram</a>
</li>
<li>compute_output_descriptor()
-: <a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a3f42ef4f962046c017f3694e7f774f7e">ConvolutionLayerNode</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_depth_concatenate_layer_node.xhtml#a93f5017cc0641d1d533670e87cfa0533">DepthConcatenateLayerNode</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#afd28f6a44c18e08ee76a44461ec6f693">ConcatenateLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a3f42ef4f962046c017f3694e7f774f7e">ConvolutionLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a19d5d53462a02340db646798c73591ca">DeconvolutionLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a3f42ef4f962046c017f3694e7f774f7e">DepthwiseConvolutionLayerNode</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a096965236945feb111c60b7107009fa0">FullyConnectedLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a259a143a6bd64b85c72abfe18c2f81a2">FullyConnectedLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#a14dd37682ad2d424ddcfee2c2010c208">PoolingLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_split_layer_node.xhtml#aa5d601f554c145dbfcde242e436dd84b">SplitLayerNode</a>
</li>
@@ -922,7 +942,13 @@
, <a class="el" href="classarm__compute_1_1_i_access_window.xhtml#ae2b4aabf2a14dce92e04c0eeb0ab73b9">IAccessWindow</a>
</li>
<li>compute_weights_descriptor()
-: <a class="el" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#abe1e7a42f83dfdcc0e649d4af4bb767a">FullyConnectedLayerNode</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a423c01d69ef4e88fbb3bc00430664811">FullyConnectedLayerNode</a>
+</li>
+<li>ConcatenateLayerNode()
+: <a class="el" href="classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a3fd97b1634e46fabfaf9ec285fa0d3dc">ConcatenateLayerNode</a>
+</li>
+<li>concatenation_axis()
+: <a class="el" href="classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#ac3ff7bc54b572572d6cbc4141b9f5db6">ConcatenateLayerNode</a>
</li>
<li>config()
: <a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml#aa125fab45e162e317c6e287fd7a63710">GraphContext</a>
@@ -943,6 +969,8 @@
, <a class="el" href="classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a239fea32ba46d038ba350dba58026c45">CLActivationLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_arithmetic_addition.xhtml#a7af75ca77a6e9eb53532e7ab1317bdc3">CLArithmeticAddition</a>
, <a class="el" href="classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a1048af0714f442881a9232395107e963">CLArithmeticAdditionKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_arithmetic_division.xhtml#aa08e0c678275eb37e8de42be52d76e35">CLArithmeticDivision</a>
+, <a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1">CLArithmeticDivisionKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml#a1048af0714f442881a9232395107e963">CLArithmeticSubtraction</a>
, <a class="el" href="classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a1048af0714f442881a9232395107e963">CLArithmeticSubtractionKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#a2b8fc7ef9b53c8a4e6b13995109ebf18">CLBatchNormalizationLayer</a>
@@ -964,25 +992,26 @@
, <a class="el" href="classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a359fed4a61e4568d258d27aee9bc20c4">CLChannelExtractKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_channel_shuffle_layer.xhtml#ac3565f1b98fd3ebfdbe0fa2ff727759a">CLChannelShuffleLayer</a>
, <a class="el" href="classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#ac3565f1b98fd3ebfdbe0fa2ff727759a">CLChannelShuffleLayerKernel</a>
-, <a class="el" href="classarm__compute_1_1_c_l_col2_im_kernel.xhtml#aad0cb4f6949783837d04c3548ff08f99">CLCol2ImKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a340fbf273fab1d60539802b047bf87dc">CLCol2ImKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_color_convert.xhtml#a59adec8460b6acba66ff43833ff4d776">CLColorConvert</a>
, <a class="el" href="classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68">CLColorConvertKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_concatenate_layer.xhtml#a460a0e2af35df8734a90d21a0ed42132">CLConcatenateLayer</a>
, <a class="el" href="classarm__compute_1_1_c_l_convert_fully_connected_weights.xhtml#a52184fd44c124af2e50bdb1649781782">CLConvertFullyConnectedWeights</a>
, <a class="el" href="classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a52184fd44c124af2e50bdb1649781782">CLConvertFullyConnectedWeightsKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_convolution3x3.xhtml#a26e1b4686b1f2d591d62d11585114a82">CLConvolution3x3</a>
, <a class="el" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a07e35fa34ecbbc82d848fa3997cc6fdb">CLConvolutionKernel< matrix_size ></a>
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+, <a class="el" href="classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">PermuteLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">PoolingLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">ReshapeLayerNode</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">ResizeLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">SoftmaxLayerNode</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">SplitLayerNode</a>
</li>
@@ -1453,7 +1495,8 @@
: <a class="el" href="classarm__compute_1_1utils_1_1signal_1_1detail_1_1_signal_impl_3_01_return_type_07_args_8_8_8_08_4.xhtml#a05c999662959c924f492b6dffb96c69e">SignalImpl< ReturnType(Args...)></a>
</li>
<li>constant_border_value
-: <a class="el" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f">HarrisCornersParameters</a>
+: <a class="el" href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f">CannyEdgeParameters</a>
+, <a class="el" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f">HarrisCornersParameters</a>
</li>
<li>ConstNode()
: <a class="el" href="classarm__compute_1_1graph_1_1_const_node.xhtml#a764430de6c64e778b59b0648109c318b">ConstNode</a>
@@ -1495,7 +1538,7 @@
: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_convolution_layer.xhtml#af896fc13b0eaaafe855f0fbcd65a07de">ConvolutionLayer</a>
</li>
<li>ConvolutionLayerNode()
-: <a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a37b4debd51dfb00b417fc3b7f3ccd815">ConvolutionLayerNode</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#ad556cd2cfb55554dbd3cbdefff2a26b7">ConvolutionLayerNode</a>
</li>
<li>Coordinates()
: <a class="el" href="classarm__compute_1_1_coordinates.xhtml#a8f72922fd4f55b0b740811ea27bc7e0f">Coordinates</a>
@@ -1507,13 +1550,13 @@
: <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a4a774ad8d5f4837f3d7de1876d367c5b">ITensor</a>
</li>
<li>CPPCornerCandidatesKernel()
-: <a class="el" href="classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#af988c4afc4ef09f2ed1f5baf6ac01aee">CPPCornerCandidatesKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#ad92b8672298f7675cccee2e683f2f6a6">CPPCornerCandidatesKernel</a>
</li>
<li>CPPDetectionWindowNonMaximaSuppressionKernel()
: <a class="el" href="classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a88722c520f6e69c0155b0dea15f6c3a4">CPPDetectionWindowNonMaximaSuppressionKernel</a>
</li>
<li>CPPPermuteKernel()
-: <a class="el" href="classarm__compute_1_1_c_p_p_permute_kernel.xhtml#ad95ff8fce8fe09a6b8f7d54d746e38fb">CPPPermuteKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a67c68efcc0e4c376502c9f014c5ecd27">CPPPermuteKernel</a>
</li>
<li>CPPSortEuclideanDistanceKernel()
: <a class="el" href="classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a2a7a5f9ca6b6738a340938d5ea7b20b8">CPPSortEuclideanDistanceKernel</a>
@@ -1526,12 +1569,13 @@
, <a class="el" href="structarm__compute_1_1_thread_info.xhtml#a92a85dfb6988cb6da124c05d9eeef869">ThreadInfo</a>
</li>
<li>CPUInfo()
-: <a class="el" href="classarm__compute_1_1_c_p_u_info.xhtml#ac10ab8f6db7ac07935466d38350e7c9b">CPUInfo</a>
+: <a class="el" href="classarm__compute_1_1_c_p_u_info.xhtml#a3ec830b104ae38449814a489ec9ea11c">CPUInfo</a>
</li>
<li>create()
: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_c_l_function_factory.xhtml#a7b00b3e17e362f87aa1652335d88defd">CLFunctionFactory</a>
, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_g_c_function_factory.xhtml#a7b00b3e17e362f87aa1652335d88defd">GCFunctionFactory</a>
, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_function_factory.xhtml#a7b00b3e17e362f87aa1652335d88defd">NEFunctionFactory</a>
+, <a class="el" href="classarm__compute_1_1utils_1_1_image_loader_factory.xhtml#ada8c92fe057e34525e7f8c4e8e422179">ImageLoaderFactory</a>
</li>
<li>create_kernel()
: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a07b37240bd1f09e36cf119dced79f9c4">CLKernelLibrary</a>
@@ -1541,16 +1585,21 @@
: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">ActivationLayer</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_batch_normalization_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">BatchNormalizationLayer</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_branch_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">BranchLayer</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_channel_shuffle_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">ChannelShuffleLayer</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_convolution_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">ConvolutionLayer</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_deconvolution_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">DeconvolutionLayer</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_depthwise_convolution_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">DepthwiseConvolutionLayer</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_dummy_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">DummyLayer</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_flatten_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">FlattenLayer</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">FullyConnectedLayer</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#afd0f42ef97e62ef3b6849bcbb8a7533a">ILayer</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_input_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">InputLayer</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_normalization_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">NormalizationLayer</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_output_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">OutputLayer</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_permute_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">PermuteLayer</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_pooling_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">PoolingLayer</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_reshape_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">ReshapeLayer</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_resize_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">ResizeLayer</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_scale_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">ScaleLayer</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_softmax_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d">SoftmaxLayer</a>
</li>
@@ -1589,6 +1638,9 @@
, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml#a0f46e4fef818b4114b3d09c799944046">IDeviceBackend</a>
, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_device_backend.xhtml#a52d6a3afb0534bf1a6e968083d135e55">NEDeviceBackend</a>
</li>
+<li>create_tuner()
+: <a class="el" href="classarm__compute_1_1tuners_1_1_tuner_factory.xhtml#adcd041c70648e0ed635b45d77e8acb0d">TunerFactory</a>
+</li>
<li>cross_group
: <a class="el" href="structarm__compute_1_1graph_1_1_memory_manager_context.xhtml#a9a1a8b3c7023ca46b49d051c2ac25489">MemoryManagerContext</a>
</li>
@@ -1604,7 +1656,7 @@
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
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- <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>