athena__pad1d_layer Module

Module containing implementation of a 1D padding layer

This module implements padding for 1D sequential data, adding values at the boundaries to control output dimensions or prepare for convolution.

Operation: Extends sequence at boundaries input: [x1, x2, ..., xn] output: [p_left copies] + [x1, x2, ..., xn] + [p_right copies]

Padding modes: - 'constant': pad with fixed value (typically 0) - 'replicate': repeat edge values - 'reflect': mirror values at boundaries

Common use: Preserve spatial dimensions through convolution Shape: (length, channels) -> (length + p_left + p_right, channels)


Uses


Interfaces

public interface pad1d_layer_type

Interface for setting up the 1D padding layer

  • private module function layer_setup(padding, method, input_shape, verbose) result(layer)

    Set up the 1D padding layer

    Arguments

    Type IntentOptional Attributes Name
    integer, intent(in), dimension(:) :: padding

    Padding sizes
    character(len=*), intent(in) :: method

    Padding method
    integer, intent(in), optional, dimension(:) :: input_shape

    Input shape
    integer, intent(in), optional :: verbose

    Verbosity level

    Return Value type(pad1d_layer_type)

    Instance of the 1D padding layer


Derived Types

type, public, extends(pad_layer_type) ::  pad1d_layer_type

Type for 1D padding layer with overloaded procedures

Components

Type Visibility Attributes Name Initial
integer, public, allocatable, dimension(:,:) :: dest_bound

Original and destination bounds
type(facets_type), public, dimension(:), allocatable :: facets

Facets of the layer
type(graph_type), public, allocatable, dimension(:) :: graph

Graph structure of input data
integer, public :: id

Unique identifier
integer, public :: imethod = 0

Method for padding
logical, public :: inference = .false.

Inference mode
integer, public :: input_rank = 0

Rank of input data
integer, public, allocatable, dimension(:) :: input_shape

Input shape
character(len=20), public :: method = 'valid'

Padding method
character(len=:), public, allocatable :: name

Layer name
integer, public :: num_channels

Number of channels
integer, public, allocatable, dimension(:,:) :: orig_bound

Original and destination bounds
class(array_type), public, allocatable, dimension(:,:) :: output

Output
integer, public :: output_rank = 0

Rank of output data
integer, public, allocatable, dimension(:) :: output_shape

Output shape
integer, public, allocatable, dimension(:) :: pad

Padding size
character(len=20), public :: subtype = repeat(" ", 20)
character(len=4), public :: type = 'base'

Layer type
logical, public :: use_graph_input = .false.

Use graph input
logical, public :: use_graph_output = .false.

Use graph output

Constructor

Interface for setting up the 1D padding layer

private module function layer_setup (padding, method, input_shape, verbose)

Set up the 1D padding layer

Type-Bound Procedures

procedure, public, pass(this) :: build_from_onnx => build_from_onnx_base

Build layer from ONNX node and initialiser
procedure, public, pass(this) :: emit_onnx_graph_inputs => emit_onnx_graph_inputs_base

Emit graph input tensor declarations for this layer
procedure, public, pass(this) :: emit_onnx_nodes => emit_onnx_nodes_base

Emit ONNX JSON nodes for this layer (format-aware and polymorphic)
procedure, public, pass(this) :: extract_output => extract_output_base

Extract the output of the layer as a standard real array
procedure, public, pass(this) :: forward => forward_pad1d

Forward propagation derived type handler
procedure, public, pass(this) :: forward_eval => forward_eval_base

Forward pass of layer and return output for evaluation
procedure, public, pass(this) :: get_attributes => get_attributes_base

Get the attributes of the layer (for ONNX export)
procedure, public, pass(this) :: get_num_params => get_num_params_base

Get the number of parameters in the layer
procedure, public, pass(this) :: init => init_pad

Initialise the layer
procedure, public, pass(this) :: nullify_graph => nullify_graph_base

Nullify the forward pass data of the layer to free memory

Read more…
procedure, public, pass(this) :: print => print_base

Print the layer to a file with additional information
procedure, public, pass(this) :: print_to_unit => print_to_unit_pad

Print layer to unit
procedure, public, pass(this) :: read => read_pad1d

Read 1D padding layer from file
procedure, public, pass(this) :: set_graph => set_graph_base

Set the graph structure of the input data !! this is adjacency and edge weighting
procedure, public, pass(this) :: set_hyperparams => set_hyperparams_pad1d

Set hyperparameters for 1D padding layer
procedure, public, pass(this) :: set_rank => set_rank_base

Set the input and output ranks of the layer
procedure, public, pass(this) :: set_shape => set_shape_base

Set the input shape of the layer

Functions

public function read_pad1d_layer(unit, verbose) result(layer)

Read 1D padding layer from file and return layer

Arguments

Type IntentOptional Attributes Name
integer, intent(in) :: unit

File unit
integer, intent(in), optional :: verbose

Verbosity level

Return Value class(base_layer_type), allocatable

Instance of the 1D padding layer

private module function layer_setup(padding, method, input_shape, verbose) result(layer)

Set up the 1D padding layer

Arguments

Type IntentOptional Attributes Name
integer, intent(in), dimension(:) :: padding

Padding sizes
character(len=*), intent(in) :: method

Padding method
integer, intent(in), optional, dimension(:) :: input_shape

Input shape
integer, intent(in), optional :: verbose

Verbosity level

Return Value type(pad1d_layer_type)

Instance of the 1D padding layer


Subroutines

private subroutine build_from_onnx_pad1d(this, node, initialisers, value_info, verbose)

Read ONNX attributes for 1D padding layer

Arguments

Type IntentOptional Attributes Name
class(pad1d_layer_type), intent(inout) :: this

Instance of the 1D padding layer
type(onnx_node_type), intent(in) :: node

ONNX node information
type(onnx_initialiser_type), intent(in), dimension(:) :: initialisers

ONNX initialiser information
type(onnx_tensor_type), intent(in), dimension(:) :: value_info

ONNX value info
integer, intent(in) :: verbose

Verbosity level

private subroutine forward_pad1d(this, input)

Forward propagation

Arguments

Type IntentOptional Attributes Name
class(pad1d_layer_type), intent(inout) :: this

Instance of the 1D padding layer
class(array_type), intent(in), dimension(:,:) :: input

Input values

private subroutine read_pad1d(this, unit, verbose)

Read 1D padding layer from file

Arguments

Type IntentOptional Attributes Name
class(pad1d_layer_type), intent(inout) :: this

Instance of the 1D padding layer
integer, intent(in) :: unit

File unit
integer, intent(in), optional :: verbose

Verbosity level

private subroutine set_hyperparams_pad1d(this, padding, method, verbose)

Set hyperparameters for 1D padding layer

Arguments

Type IntentOptional Attributes Name
class(pad1d_layer_type), intent(inout) :: this

Instance of the 1D padding layer
integer, intent(in), dimension(1) :: padding

Padding sizes
character(len=*), intent(in) :: method

Padding method
integer, intent(in), optional :: verbose

Verbosity level