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

- p -

pack_weights_to_cudnn_() : opennn::CudnnRnnState
packed_input_features : opennn::CudnnRnnState::BackendState
packed_layout : opennn::CudnnRnnState::BackendState
packed_output_features : opennn::CudnnRnnState::BackendState
packed_parameters_version : opennn::CudnnRnnState::BackendState
packed_weight_space : opennn::CudnnRnnState::BackendState
pad : opennn::yolo_detail::YoloBoxesCacheHeader, opennn::yolo_detail::YoloImageCacheHeader
PAD_TOKEN : opennn::BytePairTokenizer
padding_height : opennn::ConvolutionOperator, opennn::PoolOperator
padding_width : opennn::ConvolutionOperator, opennn::PoolOperator
parameter : opennn::Operator::ParameterSlot
parameter_master : opennn::Network::DeviceResidency
parameter_offset : opennn::BackPropagation::GradientSlice
parameter_offsets : opennn::BackPropagationLM
parameter_quantization() : opennn::CombinationOperator, opennn::ConvolutionOperator, opennn::EmbeddingLookupOperator, opennn::GroupedQueryAttentionOperator, opennn::Operator
parameter_scales : opennn::Layer
parameter_slots() : opennn::BatchNormalizationOperator, opennn::C2PSAOperator, opennn::CombinationOperator, opennn::ConvolutionOperator, opennn::EmbeddingLookupOperator, opennn::LayerNormalizationOperator, opennn::LSTMOperator, opennn::Operator, opennn::RecurrentOperator
parameter_specs() : opennn::BatchNormalizationOperator, opennn::C2PSAOperator, opennn::CombinationOperator, opennn::ConvolutionOperator, opennn::EmbeddingLookupOperator, opennn::GroupedQueryAttentionOperator, opennn::LayerNormalizationOperator, opennn::LSTMOperator, opennn::Operator, opennn::RecurrentOperator
parameter_store : opennn::Network
ParameterDifferences : opennn::QuasiNewton
parameters : opennn::Layer, opennn::Optimizer::BestModelSnapshot
parameters_version : opennn::Network
ParameterStorage : opennn::Network
ParameterUpdate : opennn::LevenbergMarquardt
ParameterUpdates : opennn::QuasiNewton
parse() : opennn::Json
parser_spec() : opennn::ChatTemplate, opennn::Qwen3ChatTemplate
passthrough_overrides : opennn::ForwardPropagation
past_length : opennn::ForwardPropagation
past_time_steps : opennn::TabularDataset
peak_bytes : opennn::MemoryPoolPlan
perform_goodness_of_fit_analysis() : opennn::Evaluation
perform_input_selection() : opennn::GeneticAlgorithm, opennn::GrowingInputs, opennn::InputSelection, opennn::ModelSelection
perform_lift_chart_analysis() : opennn::Evaluation
perform_neurons_selection() : opennn::GrowingNeurons, opennn::ModelSelection
perform_response_optimization() : opennn::ResponseOptimization
perform_roc_analysis() : opennn::Evaluation
persist_algo_active : opennn::CudnnRnnState::BackendState
persist_algo_failed : opennn::CudnnRnnState::BackendState
PinnedBuffer() : opennn::device::PinnedBuffer
pipelines : opennn::Optimizer::TrainingSession
pipelines_count : opennn::Optimizer::TrainingSession
plan_index : opennn::matmul::cudnn::CandidateInfo
point_ambiguous : opennn::NumberFormatVotes
point_decimal : opennn::NumberFormatVotes
point_group : opennn::NumberFormatVotes
points_number : opennn::ResponseOptimization
pool_height : opennn::PoolOperator
pool_width : opennn::PoolOperator
Pooling() : opennn::Pooling
Pooling3d() : opennn::Pooling3d
PoolOperator() : opennn::PoolOperator
population_standard_deviation : opennn::Evaluation::ReconstructionErrorStatistics
position_device : opennn::ForwardPropagation
position_pinned : opennn::ForwardPropagation
positional_encoding : opennn::EmbeddingLookupOperator
positional_gradient : opennn::EmbeddingLookupOperator
positional_trainable : opennn::EmbeddingLookupOperator
positives_weight : opennn::Loss
post_batch_callback : opennn::Optimizer
post_best_callback : opennn::Optimizer
post_epoch_callback : opennn::Optimizer
post_step : opennn::Optimizer::FullBatchHooks
pre_tokenize() : opennn::BytePairTokenizer, opennn::Qwen3Tokenizer
precision : opennn::Network
prefetch_batch() : opennn::Optimizer
PREFILL_BLOCK_SIZE : opennn::ChatSession
prefill_milliseconds : opennn::ChatResponse
prefill_tokens : opennn::ChatResponse
prepare_cuda_graph_workspaces() : opennn::ForwardPropagation
prepare_cudnn_forward_state_() : opennn::CudnnRnnState
prepare_full_batch_training() : opennn::Optimizer
prepare_training_artifacts() : opennn::Optimizer
prepare_training_scaling() : opennn::Dataset, opennn::ImageDataset, opennn::TabularDataset
present : opennn::Operator::ParameterSlot
preserves_output_delta_during_backward() : opennn::Dense, opennn::Layer, opennn::MultiHeadAttention
preview_data_from_JSON() : opennn::Dataset
preview_data_to_JSON() : opennn::Dataset
PreviousHiddenForwardSlot : opennn::RecurrentOperator
PreviousStateHistoryForwardSlot : opennn::RecurrentOperator
print() : opennn::Evaluation::GoodnessOfFitAnalysis, opennn::Evaluation::RocAnalysis, opennn::InputSelectionResult, opennn::NeuronsSelectionResult, opennn::profiler::Stats, opennn::TrainingResult
print_binary_classification_tests() : opennn::Evaluation
print_goodness_of_fit_analysis() : opennn::Evaluation
print_multiple_classification_tests() : opennn::Evaluation
problem : opennn::ResponseOptimization::Objectives
program : opennn::CompiledExpression
ProgrammingLanguage : opennn::ModelExpression
prompt_tokens : opennn::ChatResponse
publish() : opennn::BatchPrefetchSession
push() : opennn::GenerationParser, opennn::ThreadSafeQueue< T >
push_back() : opennn::Json, opennn::Shape