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

- g -

gate_bias_gradients() : opennn::LSTMOperator
gate_biases() : opennn::LSTMOperator
gate_recurrent_weight_gradients() : opennn::LSTMOperator
gate_recurrent_weights() : opennn::LSTMOperator
gate_weight_gradients() : opennn::LSTMOperator
gate_weights() : opennn::LSTMOperator
gather_output_window() : opennn::ForwardPropagation
GenerationParser() : opennn::GenerationParser
GeneticAlgorithm() : opennn::GeneticAlgorithm
GeneticResponse() : opennn::GeneticResponse
get() : opennn::CudnnDescriptor< Handle >, opennn::device::CudaEvent
get_activation_function() : opennn::Convolutional, opennn::Dense, opennn::LSTM, opennn::Recurrent
get_activation_type() : opennn::Network
get_advised_point() : opennn::ResponseOptimization
get_anchors() : opennn::Detection, opennn::YoloDataset
get_augmentation_policy() : opennn::YoloDataset
get_backward_specs() : opennn::Addition, opennn::C2PSA, opennn::Concatenation, opennn::Convolutional, opennn::Dense, opennn::Embedding, opennn::Flatten, opennn::Layer, opennn::LSTM, opennn::MultiHeadAttention, opennn::Network, opennn::Normalization3d, opennn::Pooling, opennn::Recurrent
get_batch_normalization() : opennn::Convolutional, opennn::Dense
get_batch_pool_size() : opennn::Optimizer
get_batch_size() : opennn::Batch, opennn::Optimizer
get_batches() : opennn::Dataset
get_bf16_first_moment() : opennn::Adam
get_blas() : opennn::Configuration
get_boxes_per_cell() : opennn::YoloDataset
get_boxes_per_head() : opennn::YoloDataset
get_categories_number() : opennn::Variable
get_channels_number() : opennn::ImageDataset
get_clamping_method() : opennn::Clamping
get_class_activation() : opennn::Detection
get_class_names() : opennn::YoloDataset
get_classes_number() : opennn::DetectionV8, opennn::YoloDataset
get_codification_string() : opennn::Dataset
get_column_stride() : opennn::Convolutional, opennn::Pooling
get_columns() : opennn::TextDataset
get_compute_device() : opennn::Layer
get_compute_dtype() : opennn::Layer
get_confidence_threshold() : opennn::NonMaxSuppression
get_config() : opennn::Network
get_consumer_edges() : opennn::Network
get_content() : opennn::GenerationParser
get_content_tokens() : opennn::GenerationParser
get_control_tokens() : opennn::GenerationParser
get_cuda_graph_capture_failed() : opennn::Optimizer
get_cuda_graph_workspace_views() : opennn::ForwardPropagation
get_data() : opennn::Dataset, opennn::TabularDataset, opennn::TensorView
get_data_file_preview() : opennn::Dataset
get_data_from_indices() : opennn::TabularDataset
get_data_path() : opennn::Dataset
get_dataset() : opennn::Evaluation, opennn::Loss, opennn::Training
get_decode_propagation() : opennn::ChatSession
get_decoder_sequence_length() : opennn::Transformer
get_descriptives() : opennn::Scaling
get_descriptor() : opennn::TensorView
get_detection_head_metadata() : opennn::Detection, opennn::DetectionHeadEndpoint, opennn::DetectionV8
get_device() : opennn::Buffer, opennn::Network, opennn::TensorView
get_device_data() : opennn::Dataset
get_device_data_columns() : opennn::Dataset
get_device_residency() : opennn::Network
get_display() : opennn::Dataset, opennn::Optimizer
get_display_confidence_threshold() : opennn::YoloDataset
get_display_name() : opennn::Optimizer
get_embedding_dimension() : opennn::Embedding, opennn::MultiHeadAttention, opennn::Normalization3d
get_endoftext_id() : opennn::Qwen3Tokenizer
get_entries() : opennn::EnumMap< Enum >
get_epoch_budget() : opennn::Optimizer
get_epochs_number() : opennn::InputSelectionResult, opennn::TrainingResult
get_epsilon() : opennn::Adam, opennn::Normalization3d
get_error() : opennn::Loss
get_execution_start_layer() : opennn::ForwardPropagation
get_export_valid_lengths() : opennn::Embedding
get_feature_count() : opennn::Variable
get_feature_data() : opennn::TabularDataset
get_feature_indices() : opennn::Dataset
get_feature_names() : opennn::Dataset
get_feature_scaler_methods() : opennn::TabularDataset
get_feature_scalers() : opennn::TabularDataset
get_feature_scaling() : opennn::FeatureScalingEndpoint, opennn::Scaling
get_feature_selection() : opennn::Dataset
get_features_number() : opennn::Dataset
get_final_output_capacity() : opennn::ForwardPropagation
get_final_output_layer() : opennn::ForwardPropagation
get_first() : opennn::Network
get_first_trainable_layer_index() : opennn::Network
get_folded_parameters() : opennn::Convolutional
get_forget_bias() : opennn::LSTM
get_forward_slot_kind() : opennn::C2PSA, opennn::Convolutional, opennn::Dense, opennn::Embedding, opennn::GroupedQueryAttention, opennn::Layer, opennn::MultiHeadAttention, opennn::Normalization3d, opennn::Recurrent
get_forward_specs() : opennn::C2PSA, opennn::Convolutional, opennn::Dense, opennn::Embedding, opennn::Flatten, opennn::GroupedQueryAttention, opennn::Layer, opennn::LSTM, opennn::MultiHeadAttention, opennn::Network, opennn::Normalization3d, opennn::Pooling3d, opennn::Pooling, opennn::Recurrent, opennn::Scaling, opennn::Tokenizer
get_future_time_steps() : opennn::TabularDataset
get_gated() : opennn::Dense
get_generation() : opennn::Configuration
get_genes_number() : opennn::GeneticAlgorithm
get_gradient_slices() : opennn::BackPropagation
get_grid_size() : opennn::YoloDataset
get_has_sample_ids() : opennn::Dataset
get_head_dim() : opennn::GroupedQueryAttention
get_head_dimension() : opennn::MultiHeadAttention
get_header_line() : opennn::Dataset
get_heads_number() : opennn::MultiHeadAttention
get_hidden() : opennn::GroupedQueryAttention
get_im_end_id() : opennn::Qwen3Tokenizer
get_im_start_id() : opennn::Qwen3Tokenizer
get_image_path() : opennn::YoloDataset
get_images_directory() : opennn::YoloDataset
get_individuals_number() : opennn::GeneticAlgorithm
get_initial_learning_rate() : opennn::SGD
get_initialization_method() : opennn::GeneticAlgorithm
get_input() : opennn::Operator
get_input_delta() : opennn::Operator
get_input_feature_names() : opennn::Network
get_input_features() : opennn::Dense, opennn::LSTM, opennn::Pooling3d
get_input_selection_name() : opennn::ModelSelection
get_input_sequence_length() : opennn::Transformer
get_input_shape() : opennn::Clamping, opennn::Convolutional, opennn::Dataset, opennn::Embedding, opennn::GroupedQueryAttention, opennn::Layer, opennn::LSTM, opennn::MultiHeadAttention, opennn::Network, opennn::Normalization3d, opennn::Pooling3d, opennn::Pooling, opennn::Recurrent, opennn::YoloDataset
get_input_tokenizer() : opennn::Transformer
get_input_variables() : opennn::Network
get_input_vocabulary() : opennn::Transformer
get_inputs() : opennn::Batch, opennn::Operator
get_inputs_number() : opennn::Layer, opennn::Network
get_is_trainable() : opennn::Layer
get_kernel_channels() : opennn::Convolutional
get_kernel_height() : opennn::Convolutional
get_kernel_width() : opennn::Convolutional
get_kernels_number() : opennn::Convolutional
get_kind() : opennn::BytePairTokenizer, opennn::Json, opennn::Qwen3Tokenizer, opennn::TokenizerOperator, opennn::WordLevelTokenizer, opennn::WordPieceTokenizer
get_kv_heads() : opennn::GroupedQueryAttention
get_label() : opennn::Layer
get_labels_directory() : opennn::YoloDataset
get_last_trainable_layer_index() : opennn::Network
get_last_trainable_layer_outputs() : opennn::ForwardPropagation
get_layer() : opennn::Network
get_layer_index() : opennn::Network
get_layer_labels() : opennn::Network
get_layers() : opennn::Network
get_layers_number() : opennn::Network
get_learned_positional() : opennn::Embedding
get_learning_rate() : opennn::Adam
get_loss() : opennn::BackPropagation, opennn::Optimizer, opennn::Training
get_lower_bounds() : opennn::Clamping
get_max_range() : opennn::Scaling
get_maximum_batch_size() : opennn::Optimizer
get_maximum_epochs() : opennn::Optimizer
get_maximum_inputs_number() : opennn::GeneticAlgorithm, opennn::GrowingInputs, opennn::InputSelection
get_maximums() : opennn::Scaling
get_means() : opennn::Scaling
get_merges() : opennn::BytePairTokenizer
get_messages() : opennn::ChatSession
get_method() : opennn::Normalization3d
get_min_range() : opennn::Scaling
get_minimum_inputs_number() : opennn::GeneticAlgorithm, opennn::GrowingInputs, opennn::InputSelection
get_minimums() : opennn::Scaling
get_missing_values_label() : opennn::TabularDataset
get_missing_values_method() : opennn::TabularDataset
get_missing_values_method_string() : opennn::TabularDataset
get_missing_values_number() : opennn::TabularDataset
get_model_input_variables() : opennn::Dataset, opennn::TabularDataset
get_multi_target() : opennn::TabularDataset
get_name() : opennn::GrowingNeurons, opennn::InputSelection, opennn::Layer, opennn::Loss, opennn::Optimizer
get_names() : opennn::Variable
get_network() : opennn::BackPropagation, opennn::Evaluation, opennn::Loss, opennn::Training
get_number_format() : opennn::TabularDataset
get_objectives_number() : opennn::ResponseOptimization
get_operators() : opennn::Layer
get_optimization_algorithm() : opennn::Training
get_options() : opennn::TextDataset
get_output() : opennn::Operator
get_output_activation() : opennn::Activation, opennn::Convolutional, opennn::Dense, opennn::Layer, opennn::LSTM, opennn::Network, opennn::Recurrent
get_output_delta() : opennn::BackPropagation, opennn::Operator
get_output_delta_layer_indices() : opennn::Loss
get_output_feature_names() : opennn::Network
get_output_features() : opennn::LSTM
get_output_height() : opennn::Convolutional, opennn::Pooling, opennn::PoolOperator
get_output_shape() : opennn::Activation, opennn::Addition, opennn::C2PSA, opennn::Clamping, opennn::Concatenation, opennn::Convolutional, opennn::Dense, opennn::Detection, opennn::DetectionV8, opennn::Embedding, opennn::Flatten, opennn::GroupedQueryAttention, opennn::Layer, opennn::LSTM, opennn::MultiHeadAttention, opennn::Network, opennn::NonMaxSuppression, opennn::Normalization3d, opennn::Pooling3d, opennn::Pooling, opennn::Recurrent, opennn::Scaling, opennn::Tokenizer, opennn::Upsampling
get_output_variables() : opennn::Network
get_output_width() : opennn::Convolutional, opennn::Pooling, opennn::PoolOperator
get_outputs() : opennn::ForwardPropagation
get_outputs_number() : opennn::Layer, opennn::Network
get_padding_height() : opennn::Convolutional, opennn::Pooling
get_padding_width() : opennn::Convolutional, opennn::Pooling
get_parameter_quantization() : opennn::Layer
get_parameter_scales() : opennn::Layer
get_parameter_specs() : opennn::Layer, opennn::Network
get_parameter_storage() : opennn::Network
get_parameter_views() : opennn::Layer
get_parameters_bf16_mirror_data() : opennn::Network
get_parameters_buffer_size() : opennn::Network
get_parameters_data() : opennn::Network
get_parameters_device() : opennn::Network
get_parameters_map() : opennn::Network
get_parameters_number() : opennn::Layer, opennn::Network
get_parameters_version() : opennn::ForwardPropagation, opennn::Network
get_past_time_steps() : opennn::TabularDataset
get_pool_height() : opennn::Pooling
get_pool_width() : opennn::Pooling
get_pooling_descriptor() : opennn::PoolOperator
get_pooling_method() : opennn::Pooling3d, opennn::Pooling
get_precision() : opennn::Network
get_q_heads() : opennn::GroupedQueryAttention
get_query_sequence_length() : opennn::MultiHeadAttention
get_rank() : opennn::Shape, opennn::TensorView
get_reasoning() : opennn::GenerationParser
get_reasoning_tokens() : opennn::GenerationParser
get_recomputable_forward_slot() : opennn::Convolutional, opennn::Layer
get_recurrent_activation_function() : opennn::LSTM
get_regularization_method() : opennn::Loss
get_reserved_tokens() : opennn::TokenizerOperator
get_residual() : opennn::Convolutional
get_return_sequences() : opennn::LSTM
get_role() : opennn::Variable
get_role_type() : opennn::Variable
get_root() : opennn::JsonDocument
get_rope_tables() : opennn::GroupedQueryAttentionOperator
get_row_stride() : opennn::Convolutional, opennn::Pooling
get_sample_ids() : opennn::Dataset
get_sample_indices() : opennn::Dataset
get_sample_roles() : opennn::Dataset
get_samples_number() : opennn::Dataset, opennn::TabularDataset, opennn::YoloDataset
get_sampling_failure() : opennn::ResponseOptimization
get_scaler() : opennn::Variable
get_scaler_type() : opennn::Variable
get_scalers() : opennn::Scaling
get_scaling_role() : opennn::FeatureScalingEndpoint, opennn::Scaling
get_separator_name() : opennn::Dataset
get_separator_string() : opennn::Dataset
get_sequence_capacity() : opennn::ForwardPropagation
get_sequence_data() : opennn::TabularDataset
get_sequence_length() : opennn::Embedding, opennn::GroupedQueryAttention, opennn::Normalization3d, opennn::Pooling3d, opennn::TextDataset, opennn::TextGenerationNetwork
get_shape() : opennn::Dataset, opennn::TensorView
get_source_layers() : opennn::Network
get_source_sequence_length() : opennn::MultiHeadAttention
get_sources_number() : opennn::Addition, opennn::Concatenation, opennn::Convolutional, opennn::Layer, opennn::MultiHeadAttention, opennn::Normalization3d
get_special_token_id() : opennn::BytePairTokenizer
get_standard_deviations() : opennn::Scaling
get_state_specs() : opennn::Layer, opennn::Network
get_states_buffer_size() : opennn::Network
get_states_data() : opennn::Network
get_states_size() : opennn::Network
get_storage_mode() : opennn::Dataset
get_storage_mode_string() : opennn::Dataset
get_target_shape() : opennn::Dataset
get_target_tokenizer() : opennn::Transformer
get_target_vocabulary() : opennn::Transformer
get_targets() : opennn::Batch
get_targets_and_outputs() : opennn::Evaluation
get_task() : opennn::Network
get_text_column_markers() : opennn::TextDataset
get_text_columns() : opennn::TextDataset
get_tied_weight() : opennn::Dense, opennn::Layer
get_time_steps() : opennn::LSTM
get_tokenizer() : opennn::Network, opennn::TextClassificationNetwork, opennn::TextDataset, opennn::TextGenerationNetwork, opennn::Tokenizer
get_training() : opennn::GrowingNeurons, opennn::ModelSelection, opennn::SelectionAlgorithm
get_training_activation_recomputation() : opennn::Network
get_training_error() : opennn::TrainingResult
get_training_tokenizer() : opennn::Dataset, opennn::TextDataset
get_training_type() : opennn::Network
get_transposed_inference() : opennn::Dense
get_type() : opennn::Layer, opennn::TensorView
get_type_string() : opennn::Variable
get_unk_id() : opennn::TokenizerOperator
get_upper_bounds() : opennn::Clamping
get_use_bias() : opennn::Dense
get_use_qk_norm() : opennn::GroupedQueryAttention
get_used_feature_indices() : opennn::Dataset
get_used_sample_indices() : opennn::Dataset
get_used_samples_number() : opennn::Dataset
get_used_variables_indices() : opennn::Dataset
get_used_variables_number() : opennn::Dataset
get_v8_mode() : opennn::YoloDataset
get_validation_error() : opennn::TrainingResult
get_variable_data() : opennn::TabularDataset
get_variable_index() : opennn::Dataset
get_variable_indices() : opennn::Dataset
get_variable_names() : opennn::Dataset
get_variable_role() : opennn::Tokenizer
get_variable_type() : opennn::Dataset
get_variables() : opennn::Dataset
get_variables_number() : opennn::Dataset
get_vocabulary() : opennn::Network, opennn::TextDataset, opennn::Tokenizer, opennn::TokenizerOperator
get_vocabulary_map() : opennn::Tokenizer, opennn::TokenizerOperator
get_vocabulary_size() : opennn::Embedding, opennn::TextDataset, opennn::Tokenizer, opennn::TokenizerOperator
gradient_logical_bytes() : opennn::BackPropagation
GroupedQueryAttention() : opennn::GroupedQueryAttention
GroupedQueryAttentionOperator() : opennn::GroupedQueryAttentionOperator
grow_to() : opennn::Buffer, opennn::device::PinnedBuffer
GrowingInputs() : opennn::GrowingInputs
GrowingNeurons() : opennn::GrowingNeurons