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 <div class="dynheader">
 Inheritance diagram for IWorkload:</div>
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 <table class="memberdecls">
@@ -193,7 +193,7 @@
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 </div><div class="memdoc">
 
-<p>Implemented in <a class="el" href="classarmnn_1_1_cl_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_neon_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_neon_convolution3d_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConvolution3dWorkload</a>, <a class="el" href="classarmnn_1_1_cl_transpose_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClTransposeConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_gpu_fsa_pre_compiled_workload.html#ae071e8822437c78baea75c3aef3a263a">GpuFsaPreCompiledWorkload</a>, <a class="el" href="classarmnn_1_1_cl_convolution3d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConvolution3dWorkload</a>, <a class="el" href="classarmnn_1_1_cl_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">ClFullyConnectedWorkload</a>, <a class="el" href="classarmnn_1_1_neon_minimum_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonMinimumWorkload</a>, <a class="el" href="classarmnn_1_1_neon_transpose_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonTransposeConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_cl_batch_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClBatchNormalizationFloatWorkload</a>, <a class="el" href="classarmnn_1_1_cl_depthwise_convolution_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDepthwiseConvolutionWorkload</a>, <a class="el" href="classarmnn_1_1_neon_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonFullyConnectedWorkload</a>, <a class="el" href="classarmnn_1_1_neon_batch_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonBatchNormalizationWorkload</a>, <a class="el" href="classarmnn_1_1_neon_depthwise_convolution_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonDepthwiseConvolutionWorkload</a>, <a class="el" href="classarmnn_1_1_ref_debug_workload.html#ae071e8822437c78baea75c3aef3a263a">RefDebugWorkload&lt; DataType &gt;</a>, <a class="el" href="classarmnn_1_1_neon_detection_post_process_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonDetectionPostProcessWorkload</a>, <a class="el" href="classarmnn_1_1_cl_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLogSoftmaxWorkload</a>, <a class="el" href="classarmnn_1_1_cl_quantized_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">ClQuantizedLstmWorkload</a>, <a class="el" href="classarmnn_1_1_cl_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSoftmaxWorkload</a>, <a class="el" href="classarmnn_1_1_cl_splitter_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSplitterWorkload</a>, <a class="el" href="classarmnn_1_1_cl_permute_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPermuteWorkload</a>, <a class="el" href="classarmnn_1_1_cl_transpose_workload.html#ae071e8822437c78baea75c3aef3a263a">ClTransposeWorkload</a>, <a class="el" href="classarmnn_1_1_neon_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonLogSoftmaxWorkload</a>, <a class="el" href="classarmnn_1_1_neon_pooling2d_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonPooling2dWorkload</a>, <a class="el" href="classarmnn_1_1_neon_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSoftmaxWorkload</a>, <a class="el" href="classarmnn_1_1_cl_batch_to_space_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClBatchToSpaceNdWorkload</a>, <a class="el" href="classarmnn_1_1_cl_concat_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConcatWorkload</a>, <a class="el" href="classarmnn_1_1_cl_division_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDivisionWorkload</a>, <a class="el" href="classarmnn_1_1_cl_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClGatherNdWorkload</a>, <a class="el" href="classarmnn_1_1_cl_multiplication_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMultiplicationWorkload</a>, <a class="el" href="classarmnn_1_1_cl_pooling2d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPooling2dWorkload</a>, <a class="el" href="classarmnn_1_1_cl_pooling3d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPooling3dWorkload</a>, <a class="el" href="classarmnn_1_1_cl_strided_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">ClStridedSliceWorkload</a>, <a class="el" href="classarmnn_1_1_cl_unidirectional_sequence_lstm_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClUnidirectionalSequenceLstmFloatWorkload</a>, <a class="el" href="classarmnn_1_1_neon_batch_mat_mul_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonBatchMatMulWorkload</a>, <a class="el" href="classarmnn_1_1_neon_batch_to_space_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonBatchToSpaceNdWorkload</a>, <a class="el" href="classarmnn_1_1_neon_concat_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConcatWorkload</a>, <a class="el" href="classarmnn_1_1_neon_l2_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonL2NormalizationFloatWorkload</a>, <a class="el" href="classarmnn_1_1_neon_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonNormalizationFloatWorkload</a>, <a class="el" href="classarmnn_1_1_neon_space_to_batch_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSpaceToBatchNdWorkload</a>, <a class="el" href="classarmnn_1_1_neon_strided_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonStridedSliceWorkload</a>, <a class="el" href="classarmnn_1_1_neon_subtraction_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSubtractionWorkload</a>, <a class="el" href="classarmnn_1_1_cl_depth_to_space_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDepthToSpaceWorkload</a>, <a class="el" href="classarmnn_1_1_cl_reverse_v2_workload.html#ae071e8822437c78baea75c3aef3a263a">ClReverseV2Workload</a>, <a class="el" href="classarmnn_1_1_cl_space_to_batch_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSpaceToBatchNdWorkload</a>, <a class="el" href="classarmnn_1_1_neon_comparison_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonComparisonWorkload</a>, <a class="el" href="classarmnn_1_1_neon_division_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonDivisionWorkload</a>, <a class="el" href="classarmnn_1_1_neon_elementwise_binary_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonElementwiseBinaryWorkload</a>, <a class="el" href="classarmnn_1_1_neon_multiplication_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonMultiplicationWorkload</a>, <a class="el" href="classarmnn_1_1_neon_pooling3d_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonPooling3dWorkload</a>, <a class="el" href="classarmnn_1_1_neon_reshape_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonReshapeWorkload</a>, <a class="el" href="classarmnn_1_1_neon_splitter_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSplitterWorkload</a>, <a class="el" href="classarmnn_1_1_neon_unidirectional_sequence_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonUnidirectionalSequenceLstmWorkload</a>, <a class="el" href="classarmnn_1_1_tosa_ref_pre_compiled_workload.html#ae071e8822437c78baea75c3aef3a263a">TosaRefPreCompiledWorkload</a>, <a class="el" href="classarmnn_1_1_cl_arg_min_max_workload.html#ae071e8822437c78baea75c3aef3a263a">ClArgMinMaxWorkload</a>, <a class="el" href="classarmnn_1_1_cl_batch_mat_mul_workload.html#ae071e8822437c78baea75c3aef3a263a">ClBatchMatMulWorkload</a>, <a class="el" href="classarmnn_1_1_cl_channel_shuffle_workload.html#ae071e8822437c78baea75c3aef3a263a">ClChannelShuffleWorkload</a>, <a class="el" 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href="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonUnidirectionalSequenceLstmFloatWorkload</a>, <a class="el" href="classarmnn_1_1_cl_floor_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClFloorFloatWorkload</a>, <a class="el" href="classarmnn_1_1_cl_gather_workload.html#ae071e8822437c78baea75c3aef3a263a">ClGatherWorkload</a>, <a class="el" href="classarmnn_1_1_cl_instance_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">ClInstanceNormalizationWorkload</a>, <a class="el" href="classarmnn_1_1_cl_maximum_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMaximumWorkload</a>, <a class="el" href="classarmnn_1_1_cl_minimum_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMinimumWorkload</a>, <a class="el" href="classarmnn_1_1_cl_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClNormalizationFloatWorkload</a>, <a class="el" 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href="classarmnn_1_1_neon_convert_fp32_to_fp16_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConvertFp32ToFp16Workload</a>, <a class="el" href="classarmnn_1_1_neon_gather_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonGatherWorkload</a>, <a class="el" href="classarmnn_1_1_neon_lstm_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonLstmFloatWorkload</a>, <a class="el" href="classarmnn_1_1_neon_prelu_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonPreluWorkload</a>, <a class="el" href="classarmnn_1_1_neon_q_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonQLstmWorkload</a>, <a class="el" href="classarmnn_1_1_neon_quantized_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonQuantizedLstmWorkload</a>, <a class="el" href="classarmnn_1_1_neon_resize_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonResizeWorkload</a>, <a class="el" href="classarmnn_1_1_neon_reverse_v2_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonReverseV2Workload</a>, <a class="el" href="classarmnn_1_1_neon_stack_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonStackWorkload</a>, <a class="el" href="classarmnn_1_1_ref_comparison_workload.html#ae071e8822437c78baea75c3aef3a263a">RefComparisonWorkload</a>, <a class="el" href="classarmnn_1_1_ref_gather_workload.html#ae071e8822437c78baea75c3aef3a263a">RefGatherWorkload</a>, <a class="el" href="classarmnn_1_1_cl_addition_workload.html#ae071e8822437c78baea75c3aef3a263a">ClAdditionWorkload</a>, <a class="el" href="classarmnn_1_1_cl_elementwise_binary_workload.html#ae071e8822437c78baea75c3aef3a263a">ClElementwiseBinaryWorkload</a>, <a class="el" href="classarmnn_1_1_cl_subtraction_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSubtractionWorkload</a>, <a class="el" href="classarmnn_1_1_neon_abs_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonAbsWorkload</a>, <a class="el" href="classarmnn_1_1_neon_cast_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonCastWorkload</a>, <a class="el" href="classarmnn_1_1_neon_floor_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonFloorFloatWorkload</a>, <a class="el" href="classarmnn_1_1_neon_logical_not_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonLogicalNotWorkload</a>, <a class="el" href="classarmnn_1_1_neon_neg_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonNegWorkload</a>, <a class="el" href="classarmnn_1_1_neon_rsqrt_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonRsqrtWorkload</a>, <a class="el" href="classarmnn_1_1_ref_batch_mat_mul_workload.html#ae071e8822437c78baea75c3aef3a263a">RefBatchMatMulWorkload</a>, <a class="el" href="classarmnn_1_1_ref_constant_workload.html#ae071e8822437c78baea75c3aef3a263a">RefConstantWorkload</a>, <a class="el" href="classarmnn_1_1_ref_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_ref_convolution3d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefConvolution3dWorkload</a>, <a class="el" href="classarmnn_1_1_ref_elementwise_binary_workload.html#ae071e8822437c78baea75c3aef3a263a">RefElementwiseBinaryWorkload</a>, <a class="el" href="classarmnn_1_1_ref_elementwise_unary_workload.html#ae071e8822437c78baea75c3aef3a263a">RefElementwiseUnaryWorkload</a>, <a class="el" href="classarmnn_1_1_ref_logical_binary_workload.html#ae071e8822437c78baea75c3aef3a263a">RefLogicalBinaryWorkload</a>, <a class="el" href="classarmnn_1_1_ref_logical_unary_workload.html#ae071e8822437c78baea75c3aef3a263a">RefLogicalUnaryWorkload</a>, <a class="el" href="classarmnn_1_1_ref_reverse_v2_workload.html#ae071e8822437c78baea75c3aef3a263a">RefReverseV2Workload</a>, <a class="el" href="classarmnn_1_1_ref_tile_workload.html#ae071e8822437c78baea75c3aef3a263a">RefTileWorkload</a>, <a class="el" href="classarmnn_1_1_import_mem_generic_workload.html#ae071e8822437c78baea75c3aef3a263a">ImportMemGenericWorkload</a>, <a class="el" href="classarmnn_1_1_sync_mem_generic_workload.html#ae071e8822437c78baea75c3aef3a263a">SyncMemGenericWorkload</a>, <a class="el" href="classarmnn_1_1_cl_pad_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPadWorkload</a>, <a class="el" href="classarmnn_1_1_cl_tile_workload.html#ae071e8822437c78baea75c3aef3a263a">ClTileWorkload</a>, <a class="el" href="classarmnn_1_1_neon_constant_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConstantWorkload</a>, <a class="el" href="classarmnn_1_1_neon_exp_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonExpWorkload</a>, <a class="el" href="classarmnn_1_1_neon_log_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonLogWorkload</a>, <a class="el" href="classarmnn_1_1_neon_sin_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSinWorkload</a>, <a class="el" href="classarmnn_1_1_neon_sqrt_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSqrtWorkload</a>, <a class="el" href="classarmnn_1_1_ref_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">RefLstmWorkload</a>, <a class="el" href="classarmnn_1_1_ref_mean_workload.html#ae071e8822437c78baea75c3aef3a263a">RefMeanWorkload</a>, <a class="el" href="classarmnn_1_1_ref_permute_workload.html#ae071e8822437c78baea75c3aef3a263a">RefPermuteWorkload&lt; DataType &gt;</a>, <a class="el" href="classarmnn_1_1_ref_pooling2d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefPooling2dWorkload</a>, <a class="el" href="classarmnn_1_1_ref_pooling3d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefPooling3dWorkload</a>, <a class="el" href="classarmnn_1_1_ref_q_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">RefQLstmWorkload</a>, <a class="el" href="classarmnn_1_1_ref_reduce_workload.html#ae071e8822437c78baea75c3aef3a263a">RefReduceWorkload</a>, <a class="el" href="classarmnn_1_1_ref_transpose_workload.html#ae071e8822437c78baea75c3aef3a263a">RefTransposeWorkload&lt; DataType &gt;</a>, <a class="el" href="classarmnn_1_1_cl_fill_workload.html#ae071e8822437c78baea75c3aef3a263a">ClFillWorkload</a>, <a class="el" href="structarmnn_1_1_cl_rank_workload.html#a9b5a391ab2d035e1e4f59251cd8e2446">ClRankWorkload</a>, <a class="el" href="classarmnn_1_1_neon_pad_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonPadWorkload</a>, <a class="el" href="classarmnn_1_1_neon_quantize_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonQuantizeWorkload</a>, <a class="el" href="structarmnn_1_1_neon_rank_workload.html#a9b5a391ab2d035e1e4f59251cd8e2446">NeonRankWorkload</a>, <a class="el" href="classarmnn_1_1_neon_tile_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonTileWorkload</a>, <a class="el" href="classarmnn_1_1_ref_cast_workload.html#ae071e8822437c78baea75c3aef3a263a">RefCastWorkload</a>, <a class="el" href="classarmnn_1_1_ref_l2_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">RefL2NormalizationWorkload</a>, <a class="el" href="classarmnn_1_1_ref_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">RefNormalizationWorkload</a>, <a class="el" href="structarmnn_1_1_ref_rank_workload.html#a9b5a391ab2d035e1e4f59251cd8e2446">RefRankWorkload</a>, <a class="el" href="structarmnn_1_1_ref_shape_workload.html#a9b5a391ab2d035e1e4f59251cd8e2446">RefShapeWorkload</a>, <a class="el" href="classarmnn_1_1_ref_splitter_workload.html#ae071e8822437c78baea75c3aef3a263a">RefSplitterWorkload</a>, <a class="el" href="classarmnn_1_1_copy_mem_generic_workload.html#ae071e8822437c78baea75c3aef3a263a">CopyMemGenericWorkload</a>, <a class="el" href="classarmnn_1_1_neon_fill_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonFillWorkload</a>, <a class="el" href="classarmnn_1_1_ref_arg_min_max_workload.html#ae071e8822437c78baea75c3aef3a263a">RefArgMinMaxWorkload</a>, <a class="el" href="classarmnn_1_1_ref_batch_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">RefBatchNormalizationWorkload</a>, <a class="el" href="classarmnn_1_1_ref_batch_to_space_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">RefBatchToSpaceNdWorkload</a>, <a class="el" href="classarmnn_1_1_ref_broadcast_to_workload.html#ae071e8822437c78baea75c3aef3a263a">RefBroadcastToWorkload</a>, <a class="el" href="classarmnn_1_1_ref_depthwise_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefDepthwiseConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_ref_dequantize_workload.html#ae071e8822437c78baea75c3aef3a263a">RefDequantizeWorkload</a>, <a class="el" href="classarmnn_1_1_ref_detection_post_process_workload.html#ae071e8822437c78baea75c3aef3a263a">RefDetectionPostProcessWorkload</a>, <a class="el" href="classarmnn_1_1_ref_instance_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">RefInstanceNormalizationWorkload</a>, <a class="el" href="classarmnn_1_1_ref_prelu_workload.html#ae071e8822437c78baea75c3aef3a263a">RefPreluWorkload</a>, <a class="el" href="classarmnn_1_1_ref_quantize_workload.html#ae071e8822437c78baea75c3aef3a263a">RefQuantizeWorkload</a>, <a class="el" href="classarmnn_1_1_ref_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">RefSliceWorkload</a>, <a class="el" href="classarmnn_1_1_ref_stack_workload.html#ae071e8822437c78baea75c3aef3a263a">RefStackWorkload</a>, <a class="el" href="classarmnn_1_1_ref_activation_workload.html#ae071e8822437c78baea75c3aef3a263a">RefActivationWorkload</a>, <a class="el" href="classarmnn_1_1_ref_channel_shuffle_workload.html#ae071e8822437c78baea75c3aef3a263a">RefChannelShuffleWorkload</a>, <a class="el" href="classarmnn_1_1_ref_concat_workload.html#ae071e8822437c78baea75c3aef3a263a">RefConcatWorkload</a>, <a class="el" href="classarmnn_1_1_ref_convert_fp16_to_fp32_workload.html#ae071e8822437c78baea75c3aef3a263a">RefConvertFp16ToFp32Workload</a>, <a class="el" href="classarmnn_1_1_ref_convert_fp32_to_fp16_workload.html#ae071e8822437c78baea75c3aef3a263a">RefConvertFp32ToFp16Workload</a>, <a class="el" href="classarmnn_1_1_ref_fake_quantization_float32_workload.html#ae071e8822437c78baea75c3aef3a263a">RefFakeQuantizationFloat32Workload</a>, <a class="el" href="classarmnn_1_1_ref_fill_workload.html#ae071e8822437c78baea75c3aef3a263a">RefFillWorkload</a>, <a class="el" href="classarmnn_1_1_ref_floor_workload.html#ae071e8822437c78baea75c3aef3a263a">RefFloorWorkload</a>, <a class="el" href="classarmnn_1_1_ref_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">RefLogSoftmaxWorkload</a>, <a class="el" href="classarmnn_1_1_ref_pad_workload.html#ae071e8822437c78baea75c3aef3a263a">RefPadWorkload</a>, <a class="el" href="classarmnn_1_1_ref_reshape_workload.html#ae071e8822437c78baea75c3aef3a263a">RefReshapeWorkload</a>, <a class="el" href="classarmnn_1_1_ref_resize_workload.html#ae071e8822437c78baea75c3aef3a263a">RefResizeWorkload</a>, <a class="el" href="classarmnn_1_1_ref_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">RefSoftmaxWorkload</a>, <a class="el" href="classarmnn_1_1_ref_space_to_depth_workload.html#ae071e8822437c78baea75c3aef3a263a">RefSpaceToDepthWorkload</a>, <a class="el" href="classsdb_1_1_sample_dynamic_addition_workload.html#ae071e8822437c78baea75c3aef3a263a">SampleDynamicAdditionWorkload</a>, <a class="el" href="classarmnn_1_1_ref_depth_to_space_workload.html#ae071e8822437c78baea75c3aef3a263a">RefDepthToSpaceWorkload</a>, <a class="el" href="classarmnn_1_1_ref_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">RefGatherNdWorkload</a>, <a class="el" href="classarmnn_1_1_ref_space_to_batch_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">RefSpaceToBatchNdWorkload</a>, <a class="el" href="classarmnn_1_1_ref_strided_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">RefStridedSliceWorkload</a>, <a class="el" href="classarmnn_1_1_map_workload.html#ae071e8822437c78baea75c3aef3a263a">MapWorkload</a>, and <a class="el" href="classarmnn_1_1_unmap_workload.html#ae071e8822437c78baea75c3aef3a263a">UnmapWorkload</a>.</p>
+<p>Implemented in <a class="el" href="classarmnn_1_1_cl_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_neon_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_neon_convolution3d_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConvolution3dWorkload</a>, <a class="el" href="classarmnn_1_1_cl_transpose_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClTransposeConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_gpu_fsa_pre_compiled_workload.html#ae071e8822437c78baea75c3aef3a263a">GpuFsaPreCompiledWorkload</a>, <a class="el" href="classarmnn_1_1_cl_convolution3d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConvolution3dWorkload</a>, <a class="el" href="classarmnn_1_1_cl_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">ClFullyConnectedWorkload</a>, <a class="el" href="classarmnn_1_1_neon_minimum_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonMinimumWorkload</a>, <a class="el" href="classarmnn_1_1_neon_transpose_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonTransposeConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_cl_batch_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClBatchNormalizationFloatWorkload</a>, <a class="el" href="classarmnn_1_1_cl_depthwise_convolution_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDepthwiseConvolutionWorkload</a>, <a class="el" href="classarmnn_1_1_neon_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonFullyConnectedWorkload</a>, <a class="el" href="classarmnn_1_1_neon_batch_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonBatchNormalizationWorkload</a>, <a class="el" href="classarmnn_1_1_neon_depthwise_convolution_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonDepthwiseConvolutionWorkload</a>, <a class="el" href="classarmnn_1_1_ref_debug_workload.html#ae071e8822437c78baea75c3aef3a263a">RefDebugWorkload&lt; DataType &gt;</a>, <a class="el" href="classarmnn_1_1_neon_detection_post_process_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonDetectionPostProcessWorkload</a>, <a class="el" href="classarmnn_1_1_cl_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLogSoftmaxWorkload</a>, <a class="el" href="classarmnn_1_1_cl_quantized_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">ClQuantizedLstmWorkload</a>, <a class="el" href="classarmnn_1_1_cl_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSoftmaxWorkload</a>, <a class="el" href="classarmnn_1_1_cl_splitter_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSplitterWorkload</a>, <a class="el" href="classarmnn_1_1_cl_permute_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPermuteWorkload</a>, <a class="el" href="classarmnn_1_1_cl_scatter_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClScatterNdWorkload</a>, <a class="el" href="classarmnn_1_1_cl_transpose_workload.html#ae071e8822437c78baea75c3aef3a263a">ClTransposeWorkload</a>, <a class="el" href="classarmnn_1_1_neon_log_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonLogSoftmaxWorkload</a>, <a class="el" href="classarmnn_1_1_neon_pooling2d_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonPooling2dWorkload</a>, <a class="el" href="classarmnn_1_1_neon_softmax_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSoftmaxWorkload</a>, <a class="el" href="classarmnn_1_1_cl_batch_to_space_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClBatchToSpaceNdWorkload</a>, <a class="el" href="classarmnn_1_1_cl_concat_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConcatWorkload</a>, <a class="el" href="classarmnn_1_1_cl_division_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDivisionWorkload</a>, <a class="el" href="classarmnn_1_1_cl_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClGatherNdWorkload</a>, <a class="el" href="classarmnn_1_1_cl_multiplication_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMultiplicationWorkload</a>, <a class="el" href="classarmnn_1_1_cl_pooling2d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPooling2dWorkload</a>, <a class="el" href="classarmnn_1_1_cl_pooling3d_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPooling3dWorkload</a>, <a class="el" href="classarmnn_1_1_cl_strided_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">ClStridedSliceWorkload</a>, <a class="el" href="classarmnn_1_1_cl_unidirectional_sequence_lstm_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClUnidirectionalSequenceLstmFloatWorkload</a>, <a class="el" href="classarmnn_1_1_neon_batch_mat_mul_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonBatchMatMulWorkload</a>, <a class="el" href="classarmnn_1_1_neon_batch_to_space_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonBatchToSpaceNdWorkload</a>, <a class="el" href="classarmnn_1_1_neon_concat_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConcatWorkload</a>, <a class="el" href="classarmnn_1_1_neon_l2_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonL2NormalizationFloatWorkload</a>, <a class="el" href="classarmnn_1_1_neon_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonNormalizationFloatWorkload</a>, <a class="el" href="classarmnn_1_1_neon_space_to_batch_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSpaceToBatchNdWorkload</a>, <a class="el" href="classarmnn_1_1_neon_strided_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonStridedSliceWorkload</a>, <a class="el" href="classarmnn_1_1_neon_subtraction_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSubtractionWorkload</a>, <a class="el" href="classarmnn_1_1_cl_depth_to_space_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDepthToSpaceWorkload</a>, <a class="el" href="classarmnn_1_1_cl_reverse_v2_workload.html#ae071e8822437c78baea75c3aef3a263a">ClReverseV2Workload</a>, <a class="el" href="classarmnn_1_1_cl_space_to_batch_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSpaceToBatchNdWorkload</a>, <a class="el" href="classarmnn_1_1_neon_comparison_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonComparisonWorkload</a>, <a class="el" href="classarmnn_1_1_neon_division_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonDivisionWorkload</a>, <a class="el" href="classarmnn_1_1_neon_elementwise_binary_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonElementwiseBinaryWorkload</a>, <a class="el" href="classarmnn_1_1_neon_multiplication_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonMultiplicationWorkload</a>, <a class="el" href="classarmnn_1_1_neon_pooling3d_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonPooling3dWorkload</a>, <a class="el" href="classarmnn_1_1_neon_reshape_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonReshapeWorkload</a>, <a class="el" href="classarmnn_1_1_neon_splitter_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSplitterWorkload</a>, <a class="el" href="classarmnn_1_1_neon_unidirectional_sequence_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonUnidirectionalSequenceLstmWorkload</a>, <a class="el" href="classarmnn_1_1_tosa_ref_pre_compiled_workload.html#ae071e8822437c78baea75c3aef3a263a">TosaRefPreCompiledWorkload</a>, <a class="el" href="classarmnn_1_1_cl_arg_min_max_workload.html#ae071e8822437c78baea75c3aef3a263a">ClArgMinMaxWorkload</a>, <a class="el" href="classarmnn_1_1_cl_batch_mat_mul_workload.html#ae071e8822437c78baea75c3aef3a263a">ClBatchMatMulWorkload</a>, <a class="el" href="classarmnn_1_1_cl_channel_shuffle_workload.html#ae071e8822437c78baea75c3aef3a263a">ClChannelShuffleWorkload</a>, <a class="el" href="classarmnn_1_1_cl_comparison_workload.html#ae071e8822437c78baea75c3aef3a263a">ClComparisonWorkload</a>, <a class="el" href="classarmnn_1_1_cl_l2_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClL2NormalizationFloatWorkload</a>, <a class="el" href="classarmnn_1_1_cl_logical_and_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLogicalAndWorkload</a>, <a class="el" href="classarmnn_1_1_cl_logical_or_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLogicalOrWorkload</a>, <a class="el" href="classarmnn_1_1_cl_mean_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMeanWorkload</a>, <a class="el" href="classarmnn_1_1_cl_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSliceWorkload</a>, <a class="el" href="classarmnn_1_1_neon_addition_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonAdditionWorkload</a>, <a class="el" href="classarmnn_1_1_neon_dequantize_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonDequantizeWorkload</a>, <a class="el" href="classarmnn_1_1_neon_fused_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonFusedWorkload</a>, <a class="el" href="classarmnn_1_1_neon_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonGatherNdWorkload</a>, <a class="el" href="classarmnn_1_1_neon_instance_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonInstanceNormalizationWorkload</a>, <a class="el" href="classarmnn_1_1_neon_maximum_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonMaximumWorkload</a>, <a class="el" href="classarmnn_1_1_neon_permute_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonPermuteWorkload</a>, <a class="el" href="classarmnn_1_1_neon_space_to_depth_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSpaceToDepthWorkload</a>, <a class="el" href="classarmnn_1_1_neon_transpose_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonTransposeWorkload</a>, <a class="el" href="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonUnidirectionalSequenceLstmFloatWorkload</a>, <a class="el" href="classarmnn_1_1_cl_floor_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClFloorFloatWorkload</a>, <a class="el" href="classarmnn_1_1_cl_gather_workload.html#ae071e8822437c78baea75c3aef3a263a">ClGatherWorkload</a>, <a class="el" href="classarmnn_1_1_cl_instance_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">ClInstanceNormalizationWorkload</a>, <a class="el" href="classarmnn_1_1_cl_maximum_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMaximumWorkload</a>, <a class="el" href="classarmnn_1_1_cl_minimum_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMinimumWorkload</a>, <a class="el" href="classarmnn_1_1_cl_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClNormalizationFloatWorkload</a>, <a class="el" href="classarmnn_1_1_cl_q_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">ClQLstmWorkload</a>, <a class="el" href="classarmnn_1_1_cl_reshape_workload.html#ae071e8822437c78baea75c3aef3a263a">ClReshapeWorkload</a>, <a class="el" href="classarmnn_1_1_cl_resize_workload.html#ae071e8822437c78baea75c3aef3a263a">ClResizeWorkload</a>, <a class="el" href="classarmnn_1_1_cl_space_to_depth_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSpaceToDepthWorkload</a>, <a class="el" href="classarmnn_1_1_cl_stack_workload.html#ae071e8822437c78baea75c3aef3a263a">ClStackWorkload</a>, <a class="el" href="classarmnn_1_1_neon_depth_to_space_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonDepthToSpaceWorkload</a>, <a class="el" href="classarmnn_1_1_neon_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSliceWorkload</a>, <a class="el" href="classarmnn_1_1_ref_elementwise_workload.html#ae071e8822437c78baea75c3aef3a263a">RefElementwiseWorkload&lt; Functor, ParentDescriptor, DebugString &gt;</a>, <a class="el" href="classarmnn_1_1_ref_unidirectional_sequence_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">RefUnidirectionalSequenceLstmWorkload</a>, <a class="el" href="classarmnn_1_1_cl_abs_workload.html#ae071e8822437c78baea75c3aef3a263a">ClAbsWorkload</a>, <a class="el" href="classarmnn_1_1_cl_activation_workload.html#ae071e8822437c78baea75c3aef3a263a">ClActivationWorkload</a>, <a class="el" href="classarmnn_1_1_cl_cast_workload.html#ae071e8822437c78baea75c3aef3a263a">ClCastWorkload</a>, <a class="el" href="classarmnn_1_1_cl_constant_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConstantWorkload</a>, <a class="el" href="classarmnn_1_1_cl_convert_fp16_to_fp32_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConvertFp16ToFp32Workload</a>, <a class="el" href="classarmnn_1_1_cl_convert_fp32_to_fp16_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConvertFp32ToFp16Workload</a>, <a class="el" href="classarmnn_1_1_cl_dequantize_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDequantizeWorkload</a>, <a class="el" href="classarmnn_1_1_cl_exp_workload.html#ae071e8822437c78baea75c3aef3a263a">ClExpWorkload</a>, <a class="el" href="classarmnn_1_1_cl_logical_not_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLogicalNotWorkload</a>, <a class="el" href="classarmnn_1_1_cl_log_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLogWorkload</a>, <a class="el" href="classarmnn_1_1_cl_lstm_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClLstmFloatWorkload</a>, <a class="el" href="classarmnn_1_1_cl_neg_workload.html#ae071e8822437c78baea75c3aef3a263a">ClNegWorkload</a>, <a class="el" href="classarmnn_1_1_cl_prelu_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPreluWorkload</a>, <a class="el" href="classarmnn_1_1_cl_quantize_workload.html#ae071e8822437c78baea75c3aef3a263a">ClQuantizeWorkload</a>, <a class="el" href="classarmnn_1_1_cl_reduce_workload.html#ae071e8822437c78baea75c3aef3a263a">ClReduceWorkload</a>, <a class="el" href="classarmnn_1_1_cl_rsqrt_workload.html#ae071e8822437c78baea75c3aef3a263a">ClRsqrtWorkload</a>, <a class="el" href="classarmnn_1_1_cl_sin_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSinWorkload</a>, <a class="el" href="classarmnn_1_1_cl_sqrt_workload.html#ae071e8822437c78baea75c3aef3a263a">ClSqrtWorkload</a>, <a class="el" href="classarmnn_1_1_gpu_fsa_constant_workload.html#ae071e8822437c78baea75c3aef3a263a">GpuFsaConstantWorkload</a>, <a class="el" href="classarmnn_1_1_neon_arg_min_max_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonArgMinMaxWorkload</a>, <a class="el" href="classarmnn_1_1_neon_channel_shuffle_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonChannelShuffleWorkload</a>, <a class="el" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConvertFp16ToFp32Workload</a>, <a class="el" href="classarmnn_1_1_neon_logical_and_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonLogicalAndWorkload</a>, <a class="el" href="classarmnn_1_1_neon_logical_or_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonLogicalOrWorkload</a>, <a class="el" href="classarmnn_1_1_neon_mean_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonMeanWorkload</a>, <a class="el" href="classarmnn_1_1_neon_reduce_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonReduceWorkload</a>, <a class="el" href="classarmnn_1_1_ref_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">RefFullyConnectedWorkload</a>, <a class="el" href="classarmnn_1_1_ref_transpose_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefTransposeConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_neon_activation_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonActivationWorkload</a>, <a class="el" href="classarmnn_1_1_neon_convert_fp32_to_fp16_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConvertFp32ToFp16Workload</a>, <a class="el" href="classarmnn_1_1_neon_gather_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonGatherWorkload</a>, <a class="el" href="classarmnn_1_1_neon_lstm_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonLstmFloatWorkload</a>, <a class="el" href="classarmnn_1_1_neon_prelu_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonPreluWorkload</a>, <a class="el" href="classarmnn_1_1_neon_q_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonQLstmWorkload</a>, <a class="el" href="classarmnn_1_1_neon_quantized_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonQuantizedLstmWorkload</a>, <a class="el" href="classarmnn_1_1_neon_resize_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonResizeWorkload</a>, <a 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href="classarmnn_1_1_ref_tile_workload.html#ae071e8822437c78baea75c3aef3a263a">RefTileWorkload</a>, <a class="el" href="classarmnn_1_1_import_mem_generic_workload.html#ae071e8822437c78baea75c3aef3a263a">ImportMemGenericWorkload</a>, <a class="el" href="classarmnn_1_1_sync_mem_generic_workload.html#ae071e8822437c78baea75c3aef3a263a">SyncMemGenericWorkload</a>, <a class="el" href="classarmnn_1_1_cl_pad_workload.html#ae071e8822437c78baea75c3aef3a263a">ClPadWorkload</a>, <a class="el" href="classarmnn_1_1_cl_tile_workload.html#ae071e8822437c78baea75c3aef3a263a">ClTileWorkload</a>, <a class="el" href="classarmnn_1_1_neon_constant_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonConstantWorkload</a>, <a class="el" href="classarmnn_1_1_neon_exp_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonExpWorkload</a>, <a class="el" href="classarmnn_1_1_neon_log_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonLogWorkload</a>, <a class="el" href="classarmnn_1_1_neon_sin_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSinWorkload</a>, <a class="el" href="classarmnn_1_1_neon_sqrt_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonSqrtWorkload</a>, <a class="el" href="classarmnn_1_1_ref_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">RefLstmWorkload</a>, <a class="el" href="classarmnn_1_1_ref_mean_workload.html#ae071e8822437c78baea75c3aef3a263a">RefMeanWorkload</a>, <a class="el" href="classarmnn_1_1_ref_permute_workload.html#ae071e8822437c78baea75c3aef3a263a">RefPermuteWorkload&lt; DataType &gt;</a>, <a class="el" href="classarmnn_1_1_ref_pooling2d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefPooling2dWorkload</a>, <a class="el" href="classarmnn_1_1_ref_pooling3d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefPooling3dWorkload</a>, <a class="el" href="classarmnn_1_1_ref_q_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">RefQLstmWorkload</a>, <a class="el" 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href="classarmnn_1_1_ref_arg_min_max_workload.html#ae071e8822437c78baea75c3aef3a263a">RefArgMinMaxWorkload</a>, <a class="el" href="classarmnn_1_1_ref_batch_normalization_workload.html#ae071e8822437c78baea75c3aef3a263a">RefBatchNormalizationWorkload</a>, <a class="el" href="classarmnn_1_1_ref_batch_to_space_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">RefBatchToSpaceNdWorkload</a>, <a class="el" href="classarmnn_1_1_ref_broadcast_to_workload.html#ae071e8822437c78baea75c3aef3a263a">RefBroadcastToWorkload</a>, <a class="el" href="classarmnn_1_1_ref_depthwise_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefDepthwiseConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_ref_dequantize_workload.html#ae071e8822437c78baea75c3aef3a263a">RefDequantizeWorkload</a>, <a class="el" href="classarmnn_1_1_ref_detection_post_process_workload.html#ae071e8822437c78baea75c3aef3a263a">RefDetectionPostProcessWorkload</a>, <a class="el" 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href="classarmnn_1_1_ref_space_to_batch_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">RefSpaceToBatchNdWorkload</a>, <a class="el" href="classarmnn_1_1_ref_strided_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">RefStridedSliceWorkload</a>, <a class="el" href="classarmnn_1_1_map_workload.html#ae071e8822437c78baea75c3aef3a263a">MapWorkload</a>, and <a class="el" href="classarmnn_1_1_unmap_workload.html#ae071e8822437c78baea75c3aef3a263a">UnmapWorkload</a>.</p>
 
 <p class="reference">Referenced by <a class="el" href="_workload_8hpp_source.html#l00050">BaseWorkload&lt; SplitterQueueDescriptor &gt;::ExecuteAsync()</a>.</p>
 
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-<p>Implemented in <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; QueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; MemCopyQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; InstanceNormalizationQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; Convolution3dQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; MultiplicationQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; SpaceToDepthQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; FillQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; QLstmQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; TransposeConvolution2dQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; UnmapQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; ElementwiseBinaryQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; SubtractionQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; Pooling3dQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; 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href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; StridedSliceQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; UnidirectionalSequenceLstmQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; MemSyncQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; AdditionQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; DivisionQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; BatchMatMulQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; TileQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; SoftmaxQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; CastQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; RankQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; FullyConnectedQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; ParentDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; DepthwiseConvolution2dQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; DequantizeQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; BatchNormalizationQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; SpaceToBatchNdQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; ReshapeQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; SliceQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; PreCompiledQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; QuantizeQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; LogicalBinaryQueueDescriptor &gt;</a>, <a class="el" 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href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; PreluQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; DebugQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; ResizeQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; ReverseV2QueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; ArgMinMaxQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; DepthToSpaceQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload&lt; GatherQueueDescriptor &gt;</a>, <a class="el" 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href="structarmnn_1_1_ref_shape_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefShapeWorkload</a>, <a class="el" href="classarmnn_1_1_ref_batch_mat_mul_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefBatchMatMulWorkload</a>, <a class="el" href="classarmnn_1_1_ref_constant_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefConstantWorkload</a>, <a class="el" href="classarmnn_1_1_ref_convolution2d_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefConvolution2dWorkload</a>, <a class="el" href="classarmnn_1_1_ref_convolution3d_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefConvolution3dWorkload</a>, <a class="el" href="classarmnn_1_1_ref_elementwise_binary_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefElementwiseBinaryWorkload</a>, <a class="el" href="classarmnn_1_1_ref_elementwise_unary_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefElementwiseUnaryWorkload</a>, <a class="el" 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href="classarmnn_1_1_ref_dequantize_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefDequantizeWorkload</a>, <a class="el" href="classarmnn_1_1_ref_detection_post_process_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefDetectionPostProcessWorkload</a>, <a class="el" href="classarmnn_1_1_ref_instance_normalization_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefInstanceNormalizationWorkload</a>, <a class="el" href="classarmnn_1_1_ref_prelu_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefPreluWorkload</a>, <a class="el" href="classarmnn_1_1_ref_quantize_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefQuantizeWorkload</a>, <a class="el" href="classarmnn_1_1_ref_slice_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefSliceWorkload</a>, <a class="el" href="classarmnn_1_1_ref_stack_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefStackWorkload</a>, <a class="el" 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RankQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; FullyConnectedQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ParentDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; DepthwiseConvolution2dQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; DequantizeQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; BatchNormalizationQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; SpaceToBatchNdQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ReshapeQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; SliceQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; PreCompiledQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; QuantizeQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; LogicalBinaryQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; MeanQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; TransposeQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; MaximumQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; DetectionPostProcessQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; L2NormalizationQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ConcatQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ReduceQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ConstantQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; FusedQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; MinimumQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; MemImportQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; AbsQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; StackQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; PermuteQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ChannelShuffleQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; GatherNdQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; LogSoftmaxQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; LstmQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; PadQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ShapeQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; QuantizedLstmQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; PreluQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; DebugQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ResizeQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ReverseV2QueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ArgMinMaxQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; DepthToSpaceQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; GatherQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; armnn::AdditionQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; MapQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ComparisonQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; RsqrtQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; Convolution2dQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; SplitterQueueDescriptor &gt;</a>, and <a class="el" href="classarmnn_1_1_ref_comparison_workload.html#a81627f96ba06d76e147f7d392a8117ed">RefComparisonWorkload</a>.</p>
+<p>Implemented in <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; QueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; MemCopyQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; InstanceNormalizationQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; Convolution3dQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; MultiplicationQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; SpaceToDepthQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; FillQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; QLstmQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; TransposeConvolution2dQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; UnmapQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ElementwiseBinaryQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; SubtractionQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; Pooling3dQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; NormalizationQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; FloorQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ElementwiseUnaryQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; Pooling2dQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; BroadcastToQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; BatchToSpaceNdQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ActivationQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; StridedSliceQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; UnidirectionalSequenceLstmQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; MemSyncQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; AdditionQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; DivisionQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; BatchMatMulQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; TileQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; SoftmaxQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; CastQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; RankQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; FullyConnectedQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ParentDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; DepthwiseConvolution2dQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; DequantizeQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; BatchNormalizationQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; SpaceToBatchNdQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ReshapeQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; SliceQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; PreCompiledQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; QuantizeQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; LogicalBinaryQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; MeanQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; TransposeQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; MaximumQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; DetectionPostProcessQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; L2NormalizationQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ConcatQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ReduceQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ConstantQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; FusedQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; MinimumQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; MemImportQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; AbsQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; StackQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; PermuteQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ChannelShuffleQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; GatherNdQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; LogSoftmaxQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; LstmQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; PadQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ShapeQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; QuantizedLstmQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; PreluQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ScatterNdQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; DebugQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ResizeQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ReverseV2QueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ArgMinMaxQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; DepthToSpaceQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; GatherQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; armnn::AdditionQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; MapQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; ComparisonQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; RsqrtQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; Convolution2dQueueDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">BaseWorkload&lt; SplitterQueueDescriptor &gt;</a>, and <a class="el" href="classarmnn_1_1_ref_comparison_workload.html#a81627f96ba06d76e147f7d392a8117ed">RefComparisonWorkload</a>.</p>
 
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