Here is a list of all class members with links to the classes they belong to:

- r -

rate : opennn::DropoutOperator
read() : opennn::CsvReader
read_at() : opennn::FileReader
read_common_json() : opennn::Optimizer
read_csv() : opennn::TabularDataset
read_data_file_preview() : opennn::Dataset
read_images() : opennn::ImageDataset
read_json_blocks() : opennn::Dataset
read_JSON_body() : opennn::Addition, opennn::Clamping, opennn::Concatenation, opennn::Convolutional, opennn::Dense, opennn::Detection, opennn::DetectionV8, opennn::Embedding, opennn::GroupedQueryAttention, opennn::Layer, opennn::LSTM, opennn::MultiHeadAttention, opennn::NonMaxSuppression, opennn::Normalization3d, opennn::Pooling3d, opennn::Pooling, opennn::Recurrent, opennn::Scaling, opennn::Tokenizer, opennn::Unscaling, opennn::Upsampling
read_records() : opennn::TextDataset
read_txt() : opennn::TextDataset
reasoning : opennn::ChatResponse
reasoning_end : opennn::GenerationParserSpec
reasoning_mode : opennn::ChatOptions
reasoning_start : opennn::GenerationParserSpec
reasoning_tokens : opennn::ChatResponse
rebuild_map() : opennn::TokenizerOperator
recompute_for_backward() : opennn::ForwardPropagation
recompute_forward_slot() : opennn::Convolutional, opennn::Layer
record_bytes : opennn::yolo_detail::YoloImageCacheHeader
record_h2d_done() : opennn::Batch
record_memory() : opennn::Dataset
Recurrent() : opennn::Recurrent
recurrent_activation_function : opennn::LSTMOperator
recurrent_weight_gradient : opennn::RecurrentOperator
recurrent_weights : opennn::RecurrentOperator
redistribute_parameters_to_operators() : opennn::Layer
reflection_axis_x : opennn::ImageAugmentationPolicy
reflection_axis_y : opennn::ImageAugmentationPolicy
refresh_cache_statistics() : opennn::TabularDataset
refresh_descriptor() : opennn::PoolOperator
refresh_feature_storage() : opennn::Layer
refresh_forecasting_roles() : opennn::TabularDataset
refresh_op_storage() : opennn::Scaling
reg_max : opennn::DetectionV8Operator
regression_bins : opennn::DetectionHeadMetadata
Regularization : opennn::Loss
regularization : opennn::BackPropagation::Metrics, opennn::BackPropagationLM
regularization_from_JSON() : opennn::Loss
regularization_map() : opennn::Loss
regularization_method : opennn::Loss
regularization_to_JSON() : opennn::Loss
regularization_to_string() : opennn::Loss
regularization_weight : opennn::Loss
reinit_onnx_cls_out() : opennn::Convolutional
release() : opennn::BatchPrefetchSession, opennn::ScopeExit< F >
release_bf16_fp32_parameter_master_for_inference() : opennn::Network
relu_mask_fusion_disabled : opennn::CombinationOperator
relu_mask_slot : opennn::CombinationOperator
render() : opennn::ChatTemplate, opennn::Qwen3ChatTemplate
reopen() : opennn::ThreadSafeQueue< T >
repetition_penalty : opennn::SamplingConfig
replace_Tukey_outliers_with_NaN() : opennn::TabularDataset
requested_front_size : opennn::ResponseOptimization
requests_device_residency() : opennn::Dataset
require_in_memory_data() : opennn::Dataset
reserve_kv_cache() : opennn::ForwardPropagation
reserve_space_bytes : opennn::CudnnRnnShapeSlot
reserved : opennn::yolo_detail::YoloBoxesCacheHeader
reserved_tokens : opennn::TokenizerOperator
reset() : opennn::BackPropagation::Metrics, opennn::CudnnDescriptor< Handle >, opennn::FileMapping
reset_cuda_graph() : opennn::ForwardPropagation
reset_drelu_fusion() : opennn::Dense
reset_single_output_relu_fusion() : opennn::Dense
reshape() : opennn::TensorView
reshape_prefix() : opennn::TensorView
residual_delta_slot : opennn::BatchNormalizationOperator
resize_bytes() : opennn::Buffer, opennn::device::PinnedBuffer
resize_data_from_JSON() : opennn::Dataset, opennn::TabularDataset
resize_history() : opennn::InputSelectionResult, opennn::NeuronsSelectionResult
resize_input_shape() : opennn::Dataset, opennn::TabularDataset
resize_training_error_history() : opennn::TrainingResult
resize_validation_error_history() : opennn::TrainingResult
ResNet() : opennn::ResNet
resolve() : opennn::Configuration
resolve_for() : opennn::Configuration
resolve_reasoning_mode() : opennn::ChatSession, opennn::ChatTemplate
ResponseOptimization() : opennn::ResponseOptimization
restore_best : opennn::Optimizer
restore_best_parameters() : opennn::Optimizer
restored_epoch : opennn::TrainingResult
retain_when_absent : opennn::Operator::ParameterSlot
retained_output_layers : opennn::InferenceShapePolicy
rethrow_if_error() : opennn::BatchPrefetchSession
return_sequences : opennn::CudnnRnnState::CudnnRnnDims, opennn::LSTMOperator, opennn::RecurrentOperator
reuse_input_incomplete_rows_binary() : opennn::TabularDataset
rnn_desc : opennn::CudnnRnnState::BackendState
roc_curve : opennn::Evaluation::RocAnalysis
role : opennn::ChatMessage, opennn::TextDataset::Column, opennn::Variable
rotation_maximum : opennn::ImageAugmentationPolicy
rotation_minimum : opennn::ImageAugmentationPolicy
row_indices : opennn::DeviceGather
row_stride : opennn::ConvolutionOperator, opennn::PoolOperator
rows_missing_values_number : opennn::TabularDataset
run_epoch_loop() : opennn::Optimizer
run_graph_epoch() : opennn::Optimizer
running_mean : opennn::BatchNormalizationOperator
running_variance : opennn::BatchNormalizationOperator