opennn::MergeOp Struct Reference

Reshapes (batch, heads, seq, head_dim) tensors back into (batch, seq, embed); no parameters. More...

#include <operators.h>

Inheritance diagram for opennn::MergeOp:

Public Member Functions
void	set (Index heads_number, Index query_sequence_length, Index head_dimension, Type compute_dtype)
	Configures the merge geometry.
void	forward_propagate (ForwardPropagation &fp, size_t layer, bool is_training) noexcept override
	Runs the operator's forward computation.
void	back_propagate (ForwardPropagation &fp, BackPropagation &bp, size_t layer) const noexcept override
	Runs the operator's backward computation, accumulating into gradient/delta buffers.
Public Member Functions inherited from opennn::Operator
virtual	~Operator ()=default
virtual vector< TensorSpec >	parameter_specs () const
	Returns the tensor specs of trainable parameters owned by this operator.
virtual vector< TensorSpec >	state_specs () const
	Returns the tensor specs of persistent state owned by this operator.
virtual void	link_parameters (span< const TensorView >)
	Binds parameter views provided by the hosting layer.
virtual void	link_gradients (span< const TensorView >)
	Binds gradient views provided by the hosting layer.
virtual void	link_states (span< const TensorView >)
	Binds state views provided by the hosting layer.
virtual void	set_parameters_random ()
	Initializes parameters with random values.
virtual void	set_parameters_glorot ()
	Initializes parameters using Glorot (Xavier) initialization.
virtual void	to_JSON (JsonWriter &) const
	Serializes the operator configuration to a JSON writer.
virtual void	from_JSON (const Json *)
	Restores the operator configuration from a JSON node.
virtual void	load_state_from_JSON (const Json *)
	Restores persistent state (e.g. running statistics) from a JSON node.
virtual void	destroy_cuda ()
	Releases CUDA resources owned by the operator; called from destructors.
TensorView &	get_input (ForwardPropagation &fp, size_t layer, size_t i=0) const noexcept
vector< TensorView > &	get_inputs (ForwardPropagation &fp, size_t layer, size_t i=0) const noexcept
TensorView &	get_output (ForwardPropagation &fp, size_t layer, size_t i=0) const noexcept
TensorView &	get_output_delta (BackPropagation &bp, size_t layer, size_t i=0) const noexcept
TensorView &	get_input_delta (BackPropagation &bp, size_t layer, size_t i=0) const noexcept

Public Attributes
Index	heads_number = 0
Index	query_sequence_length = 0
Index	head_dimension = 0
Type	compute_dtype = Type::FP32
Public Attributes inherited from opennn::Operator
vector< size_t >	input_slots = {0}
vector< size_t >	output_slots = {1}
vector< size_t >	input_delta_slots = {1}
vector< size_t >	output_delta_slots = {0}

Detailed Description

Reshapes (batch, heads, seq, head_dim) tensors back into (batch, seq, embed); no parameters.

Member Function Documentation

back_propagate()

void opennn::MergeOp::back_propagate ( ForwardPropagation & fp, BackPropagation & bp, size_t layer ) const

overridevirtualnoexcept

Runs the operator's backward computation, accumulating into gradient/delta buffers.

Parameters

fp	Forward propagation workspace (read-only).
bp	Back propagation workspace receiving gradients and deltas.
layer	Index of the hosting layer in the workspace.

Reimplemented from opennn::Operator.

forward_propagate()

void opennn::MergeOp::forward_propagate ( ForwardPropagation & fp, size_t layer, bool is_training )

overridevirtualnoexcept

Runs the operator's forward computation.

Parameters

fp	Forward propagation workspace.
layer	Index of the hosting layer in the workspace.
is_training	If true, enables training-only behavior (e.g. dropout sampling).

Reimplemented from opennn::Operator.

set()

void opennn::MergeOp::set	(	Index	heads_number,
		Index	query_sequence_length,
		Index	head_dimension,
		Type	compute_dtype )

Configures the merge geometry.

Member Data Documentation

compute_dtype

Type opennn::MergeOp::compute_dtype = Type::FP32

head_dimension

Index opennn::MergeOp::head_dimension = 0

heads_number

Index opennn::MergeOp::heads_number = 0

query_sequence_length

Index opennn::MergeOp::query_sequence_length = 0