arm_compute v18.08
diff --git a/documentation/functions_func_r.xhtml b/documentation/functions_func_r.xhtml
index b03d982..685bbb2 100644
--- a/documentation/functions_func_r.xhtml
+++ b/documentation/functions_func_r.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>
@@ -168,17 +168,14 @@
<li>RangeDataset()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset.xhtml#a8c87c8a244d6842642bdbcf8873b1e06">RangeDataset< T ></a>
</li>
-<li>raw()
-: <a class="el" href="classarm__compute_1_1test_1_1fixed__point__arithmetic_1_1fixed__point.xhtml#a3fe723fdc332e453550710b2925002a0">fixed_point< T ></a>
-</li>
<li>raw_data()
: <a class="el" href="structarm__compute_1_1test_1_1framework_1_1_measurement.xhtml#a0623ef2a13ff9b6728dff006ae6cbc47">Measurement</a>
</li>
<li>RawLutAccessor()
-: <a class="el" href="classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#a240f6b5226a09537d27d812498b20318">RawLutAccessor< T ></a>
+: <a class="el" href="classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#ac73e9acd175097a3afe144cb38c1c648">RawLutAccessor< T ></a>
</li>
<li>RawTensor()
-: <a class="el" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#ad5f076c202d054557fde207a7e3b3b41">RawTensor</a>
+: <a class="el" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a370d2eeb42fcf98ffe3383f1089d48c5">RawTensor</a>
</li>
<li>recurrent_to_input_weights()
: <a class="el" href="classarm__compute_1_1_l_s_t_m_params.xhtml#ab09e516de7730aa737e2905630dfc644">LSTMParams< T ></a>
@@ -195,6 +192,10 @@
: <a class="el" href="classarm__compute_1_1_i_pool_manager.xhtml#af5ecacf4a9d67777dacc2bf917a52db4">IPoolManager</a>
, <a class="el" href="classarm__compute_1_1_pool_manager.xhtml#a40713b55ad2d6ddb4ccead1f9e535a05">PoolManager</a>
</li>
+<li>reinterpret_input_as_3d()
+: <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml#acda569cd6d5c6cfec7c98e9076d4bbd9">GEMMInfo</a>
+, <a class="el" href="classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#acda569cd6d5c6cfec7c98e9076d4bbd9">GEMMReshapeInfo</a>
+</li>
<li>relative_standard_deviation()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_instruments_stats.xhtml#a155015b9a1c2f991a2089c6e78425d1a">InstrumentsStats</a>
, <a class="el" href="structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#a9666a65078cee68787a9aad555ad0793">Measurement::Value</a>
@@ -208,6 +209,13 @@
, <a class="el" href="classarm__compute_1_1_i_memory_pool.xhtml#ab9d340d42cc3ec933f5da369f1f808bb">IMemoryPool</a>
, <a class="el" href="classarm__compute_1_1_memory_group_base.xhtml#ad7ed3842c3160ae4b9f51acbf4564438">MemoryGroupBase< TensorType ></a>
, <a class="el" href="classarm__compute_1_1_offset_memory_pool.xhtml#af47c67ca8d1961b09543879bb734e8be">OffsetMemoryPool</a>
+, <a class="el" href="classarm__compute_1_1utils_1_1_j_p_e_g_loader.xhtml#a23b477d0e2d399f75d585d154c346591">JPEGLoader</a>
+</li>
+<li>release_backend_context()
+: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#aa24d3f58d6e9c1d8c171d25defcdfb54">CLDeviceBackend</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_g_c_device_backend.xhtml#aa24d3f58d6e9c1d8c171d25defcdfb54">GCDeviceBackend</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml#a449129d5832bab24106f9f67583dc8a1">IDeviceBackend</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_device_backend.xhtml#aa24d3f58d6e9c1d8c171d25defcdfb54">NEDeviceBackend</a>
</li>
<li>release_if_unused()
: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#ab02ec2036cf0299acc02f35ef56c2214">CLSubTensorHandle</a>
@@ -238,11 +246,9 @@
<li>required_padding()
: <a class="el" href="classarm__compute_1_1test_1_1_padding_calculator.xhtml#a2435ae6ac8638f53c4f315d3f11e84a7">PaddingCalculator</a>
</li>
-<li>rescale()
-: <a class="el" href="classarm__compute_1_1test_1_1fixed__point__arithmetic_1_1fixed__point.xhtml#a80db15090eed5a0bb5e7977eabeae132">fixed_point< T ></a>
-</li>
<li>reset()
: <a class="el" href="classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#ad39ad962255c717dcd5e53315ae37546">CLMinMaxLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml#ad20897c5c8bd47f5d4005989bead0e55">ValidationOutputAccessor</a>
, <a class="el" href="classarm__compute_1_1_iterator.xhtml#a599f5025b7e6b8bfead740a88e56d5bc">Iterator</a>
, <a class="el" href="classarm__compute_1_1_n_e_min_max_kernel.xhtml#ad20897c5c8bd47f5d4005989bead0e55">NEMinMaxKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#ad20897c5c8bd47f5d4005989bead0e55">NEMinMaxLayerKernel</a>
@@ -256,9 +262,6 @@
<li>reshape_b_only_on_first_run()
: <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml#a8809341538b465964b81970388fc9ebc">GEMMInfo</a>
</li>
-<li>reshape_info()
-: <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml#a3d9df22cc94288637e7b8c59c425818a">GEMMInfo</a>
-</li>
<li>ReshapeLayer()
: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_reshape_layer.xhtml#aa3c4c9fd2bc62c95238f22172e8c10f1">ReshapeLayer</a>
</li>
@@ -271,6 +274,16 @@
, <a class="el" href="classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a0cafaca7cb86d89b5f20f987448c341c">CLArrayAccessor< T ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_i_array_accessor.xhtml#aa3243d314953e018ebcaf98128068110">IArrayAccessor< T ></a>
</li>
+<li>ResizeLayer()
+: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_resize_layer.xhtml#a6de958db405f92c48214eedd8c5a2a7b">ResizeLayer</a>
+</li>
+<li>ResizeLayerNode()
+: <a class="el" href="classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a23f214610ee778b923f9f9ffc5bf1b3e">ResizeLayerNode</a>
+</li>
+<li>retain_internal_weights()
+: <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml#a07182fe81d555511de0dff21c3483689">GEMMInfo</a>
+, <a class="el" href="classarm__compute_1_1_weights_info.xhtml#a07182fe81d555511de0dff21c3483689">WeightsInfo</a>
+</li>
<li>reverse_iterable()
: <a class="el" href="classarm__compute_1_1utils_1_1iterable_1_1reverse__iterable.xhtml#a5053b946ca74887955fc65054f6df4e8">reverse_iterable< T ></a>
</li>
@@ -284,10 +297,10 @@
: <a class="el" href="classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#ac3e40923663c50e346b1321a20af5a51">EltwiseLayerNode</a>
</li>
<li>run()
-: <a class="el" href="classarm__compute_1_1_assembly_kernel_glue.xhtml#a13a43e6d814de94978c515cb084873b1">AssemblyKernelGlue< TypeInput, TypeOutput ></a>
-, <a class="el" href="classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLAbsoluteDifferenceKernel</a>
+: <a class="el" href="classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLAbsoluteDifferenceKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLActivationLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLArithmeticAdditionKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLArithmeticDivisionKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLArithmeticSubtractionKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLBatchNormalizationLayer</a>
, <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLBatchNormalizationLayerKernel</a>
@@ -300,6 +313,7 @@
, <a class="el" href="classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLChannelShuffleLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLCol2ImKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLColorConvertKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLConcatenateLayer</a>
, <a class="el" href="classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLConvertFullyConnectedWeightsKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLConvolutionLayer</a>
, <a class="el" href="classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb">CLConvolutionLayerReshapeWeights</a>
@@ -332,6 +346,7 @@
, <a class="el" href="classarm__compute_1_1_c_l_fast_corners.xhtml#ad1717410afd0be936c6213a63c8005fb">CLFastCorners</a>
, <a class="el" href="classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLFastCornersKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLFillBorderKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLFlattenLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_floor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLFloorKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLFullyConnectedLayer</a>
, <a class="el" href="classarm__compute_1_1_c_l_gaussian5x5.xhtml#ad1717410afd0be936c6213a63c8005fb">CLGaussian5x5</a>
@@ -405,6 +420,7 @@
, <a class="el" href="classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLReshapeLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_r_n_n_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLRNNLayer</a>
, <a class="el" href="classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLROIPoolingLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_scale_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLScaleKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLScharr3x3Kernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLSobel3x3Kernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_sobel5x5.xhtml#ad1717410afd0be936c6213a63c8005fb">CLSobel5x5</a>
@@ -499,6 +515,7 @@
, <a class="el" href="classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEChannelExtractKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NECol2ImKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEColorConvertKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">NEConcatenateLayer</a>
, <a class="el" href="classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#ad1717410afd0be936c6213a63c8005fb">NEConvertFullyConnectedWeights</a>
, <a class="el" href="classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEConvertFullyConnectedWeightsKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEConvolutionKernel< matrix_size ></a>
@@ -506,6 +523,7 @@
, <a class="el" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb">NEConvolutionLayerReshapeWeights</a>
, <a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEConvolutionRectangleKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb">NEConvolutionSquare< matrix_size ></a>
+, <a class="el" href="classarm__compute_1_1_n_e_copy_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NECopyKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NECumulativeDistributionKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">NEDeconvolutionLayer</a>
, <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">NEDepthConcatenateLayer</a>
@@ -538,7 +556,6 @@
, <a class="el" href="classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEFillInnerBorderKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_floor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEFloorKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">NEFullyConnectedLayer</a>
-, <a class="el" href="classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb">NEFullyConnectedLayerReshapeWeights</a>
, <a class="el" href="classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGaussian3x3Kernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5.xhtml#ad1717410afd0be936c6213a63c8005fb">NEGaussian5x5</a>
, <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGaussian5x5HorKernel</a>
@@ -548,8 +565,11 @@
, <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_orb.xhtml#ad1717410afd0be936c6213a63c8005fb">NEGaussianPyramidOrb</a>
, <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGaussianPyramidVertKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb">NEGEMM</a>
+, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch_1_1_i_fallback.xhtml#a18954417d3124a8095783ea13dc6d00b">NEGEMMAssemblyDispatch::IFallback</a>
+, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#ad1717410afd0be936c6213a63c8005fb">NEGEMMAssemblyDispatch</a>
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">NEGEMMConvolutionLayer</a>
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMInterleave4x4Kernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#ad1717410afd0be936c6213a63c8005fb">NEGEMMInterleavedWrapper</a>
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_assembly_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb">NEGEMMLowpAssemblyMatrixMultiplyCore</a>
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpMatrixAReductionKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpMatrixBReductionKernel</a>
@@ -609,6 +629,7 @@
, <a class="el" href="classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEReductionOperationKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NERemapKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEReshapeLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_r_n_n_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">NERNNLayer</a>
, <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">NEROIPoolingLayer</a>
, <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEROIPoolingLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_scale.xhtml#ad1717410afd0be936c6213a63c8005fb">NEScale</a>
@@ -616,6 +637,7 @@
, <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEScharr3x3Kernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NESeparableConvolutionHorKernel< matrix_size ></a>
, <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NESeparableConvolutionVertKernel< matrix_size ></a>
+, <a class="el" href="classarm__compute_1_1_n_e_simple_assembly_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">NESimpleAssemblyFunction</a>
, <a class="el" href="classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NESobel3x3Kernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_sobel5x5.xhtml#ad1717410afd0be936c6213a63c8005fb">NESobel5x5</a>
, <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NESobel5x5HorKernel</a>
@@ -628,27 +650,30 @@
, <a class="el" href="classarm__compute_1_1_n_e_threshold_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEThresholdKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NETransposeKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEWeightsReshapeKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_width_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">NEWidthConcatenateLayer</a>
+, <a class="el" href="classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEWidthConcatenateLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">NEWinogradConvolutionLayer</a>
-, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEWinogradLayerBatchedGEMMKernel< TIn, TOut, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEWinogradLayerTransformInputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEWinogradLayerTransformWeightsKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a149ad6701e3e2414cb566bb414029841">Framework</a>
-, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_alex_net_network.xhtml#a13a43e6d814de94978c515cb084873b1">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#a13a43e6d814de94978c515cb084873b1">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#a13a43e6d814de94978c515cb084873b1">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#a13a43e6d814de94978c515cb084873b1">MobileNetV1Network< TensorType, Accessor, ActivationLayerFunction, BatchNormalizationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionFunction, ReshapeFunction, PoolingLayerFunction, SoftmaxLayerFunction ></a>
</li>
<li>run_all()
: <a class="el" href="classarm__compute_1_1graph_1_1_pass_manager.xhtml#a8ff5886e2e39da2a4db7029e8dc143e2">PassManager</a>
</li>
+<li>run_workloads()
+: <a class="el" href="classarm__compute_1_1_c_p_p_scheduler.xhtml#acbe7dbaeedd9d2cf45f50a4c1c4260c3">CPPScheduler</a>
+, <a class="el" href="classarm__compute_1_1_i_scheduler.xhtml#a44031826ec875224d24d820d71934502">IScheduler</a>
+, <a class="el" href="classarm__compute_1_1_o_m_p_scheduler.xhtml#acbe7dbaeedd9d2cf45f50a4c1c4260c3">OMPScheduler</a>
+, <a class="el" href="classarm__compute_1_1_single_thread_scheduler.xhtml#acbe7dbaeedd9d2cf45f50a4c1c4260c3">SingleThreadScheduler</a>
+</li>
</ul>
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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
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<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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