AI-MXNet

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lib/AI/MXNet/Executor/Group.pm  view on Meta::CPAN

        Indicate parameters to be fixed during training. Parameters in this array ref will not allocate
        space for gradient, nor do gradient calculation.
    grad_req : ArrayRef[GradReq]|HashRef[GradReq]|GradReq
        Requirement for gradient accumulation. Can be 'write', 'add', or 'null'
        (default to 'write').
        Can be specified globally (str) or for each argument (array ref, hash ref).
    state_names: Maybe[ArrayRef[Str]]
=cut

has 'symbol'            => (is => 'ro', isa => 'AI::MXNet::Symbol', required => 1);
has 'contexts'          => (is => 'ro', isa => 'ArrayRef[AI::MXNet::Context]', required => 1);
has 'workload'          => (is => 'ro', isa => 'ArrayRef[Num]', default => sub { [] });
has 'data_shapes'       => (is => 'rw', isa => 'ArrayRef[NameShape|AI::MXNet::DataDesc]', required => 1);
has 'label_shapes'      => (is => 'rw', isa => 'Maybe[ArrayRef[NameShape|AI::MXNet::DataDesc]]');
has 'param_names'       => (is => 'ro', isa => 'ArrayRef[Str]', required => 1);
has 'for_training'      => (is => 'ro', isa => 'Bool', required => 1);
has 'inputs_need_grad'  => (is => 'ro', isa => 'Bool', default  => 0);
has 'shared_group'      => (is => 'ro', isa => 'Maybe[AI::MXNet::DataParallelExecutorGroup]');
has 'logger'            => (is => 'ro', default => sub { AI::MXNet::Logging->get_logger });
has 'fixed_param_names' => (is => 'rw', isa => 'Maybe[ArrayRef[Str]]');
has 'state_names'       => (is => 'rw', isa => 'Maybe[ArrayRef[Str]]');
has 'grad_req'          => (is => 'rw', isa => 'ArrayRef[GradReq]|HashRef[GradReq]|GradReq', default=>'write');
has '_p'                => (is => 'rw', init_arg => undef);
sub BUILD
{

lib/AI/MXNet/Image.pm  view on Meta::CPAN

has [qw/path_imgrec
        path_imglist
        path_root
        path_imgidx
    /]            => (is => 'ro', isa => 'Str');
has 'shuffle'     => (is => 'ro', isa => 'Bool', default => 0);
has 'part_index'  => (is => 'ro', isa => 'Int', default => 0);
has 'num_parts'   => (is => 'ro', isa => 'Int', default => 0);
has 'aug_list'    => (is => 'rw', isa => 'ArrayRef[CodeRef]');
has 'imglist'     => (is => 'rw', isa => 'ArrayRef|HashRef');
has 'kwargs'      => (is => 'ro', isa => 'HashRef');
has [qw/imgidx
        imgrec
        seq
        cur
        provide_data
        provide_label
           /]     => (is => 'rw', init_arg => undef);

sub BUILD
{

lib/AI/MXNet/LRScheduler.pm  view on Meta::CPAN

    Parameters
    ----------
    step: array ref of int
        schedule learning rate after n updates
    factor: float
        the factor for reducing the learning rate
=cut

use Mouse;
extends 'AI::MXNet::LRScheduler';
has 'step'            => (is => 'ro', isa => 'ArrayRef[Int]', required => 1);
has 'factor'          => (is => 'ro', isa => 'Num', default  => 1);
has 'cur_step_ind'    => (is => 'rw', isa => 'Int', default  => 0);
has 'count'           => (is => 'rw', isa => 'Int', default  => 0);

sub BUILD
{
    my $self = shift;
    confess("step array must have at least one member")
        unless @{ $self->step } >=1 ;
    for (my $i = 0; $i < @{ $self->step }; $i++)

lib/AI/MXNet/Module.pm  view on Meta::CPAN

=head1 NAME

    AI::MXNet::Module - FeedForward interface of MXNet.
    See AI::MXNet::Module::Base for the details.
=cut

extends 'AI::MXNet::Module::Base';

has '_symbol'           => (is => 'ro', init_arg => 'symbol', isa => 'AI::MXNet::Symbol', required => 1);
has '_data_names'       => (is => 'ro', init_arg => 'data_names', isa => 'ArrayRef[Str]');
has '_label_names'      => (is => 'ro', init_arg => 'label_names', isa => 'Maybe[ArrayRef[Str]]');
has 'work_load_list'    => (is => 'rw', isa => 'Maybe[ArrayRef[Int]]');
has 'fixed_param_names' => (is => 'rw', isa => 'Maybe[ArrayRef[Str]]');
has 'state_names'       => (is => 'rw', isa => 'Maybe[ArrayRef[Str]]');
has 'logger'            => (is => 'ro', default => sub { AI::MXNet::Logging->get_logger });
has '_p'                => (is => 'rw', init_arg => undef);
has 'context'           => (
    is => 'ro', 
    isa => 'AI::MXNet::Context|ArrayRef[AI::MXNet::Context]',
    default => sub { AI::MXNet::Context->cpu }
);

lib/AI/MXNet/Module/Bucketing.pm  view on Meta::CPAN

        Default is undef, indicating no network parameters are fixed.
    $state_names : arrayref of str
        states are similar to data and label, but not provided by data iterator.
        Instead they are initialized to 0 and can be set by set_states()
=cut

extends 'AI::MXNet::Module::Base';
has '_sym_gen'            => (is => 'ro', init_arg => 'sym_gen', required => 1);
has '_default_bucket_key' => (is => 'rw', init_arg => 'default_bucket_key', required => 1);
has '_context'            => (
    is => 'ro', isa => 'AI::MXNet::Context|ArrayRef[AI::MXNet::Context]',
    lazy => 1, default => sub { AI::MXNet::Context->cpu },
    init_arg => 'context'
);
has '_work_load_list'     => (is => 'rw', init_arg => 'work_load_list', isa => 'ArrayRef[Num]');
has '_curr_module'        => (is => 'rw', init_arg => undef);
has '_curr_bucket_key'    => (is => 'rw', init_arg => undef);
has '_buckets'            => (is => 'rw', init_arg => undef, default => sub { +{} });
has '_fixed_param_names'  => (is => 'rw', isa => 'ArrayRef[Str]', init_arg => 'fixed_param_names');
has '_state_names'        => (is => 'rw', isa => 'ArrayRef[Str]', init_arg => 'state_names');
has '_params_dirty'       => (is => 'rw', init_arg => undef);

lib/AI/MXNet/RNN/IO.pm  view on Meta::CPAN

        name of label
    layout : str
        format of data and label. 'NT' means (batch_size, length)
        and 'TN' means (length, batch_size).
=cut

use Mouse;
use AI::MXNet::Base;
use List::Util qw(shuffle max);
extends 'AI::MXNet::DataIter';
has 'sentences'     => (is => 'ro', isa => 'ArrayRef[ArrayRef]', required => 1);
has '+batch_size'   => (is => 'ro', isa => 'Int',                required => 1);
has 'invalid_label' => (is => 'ro', isa => 'Int',   default => -1);
has 'data_name'     => (is => 'ro', isa => 'Str',   default => 'data');
has 'label_name'    => (is => 'ro', isa => 'Str',   default => 'softmax_label');
has 'dtype'         => (is => 'ro', isa => 'Dtype', default => 'float32');
has 'layout'        => (is => 'ro', isa => 'Str',   default => 'NT');
has 'buckets'       => (is => 'rw', isa => 'Maybe[ArrayRef[Int]]');
has [qw/data nddata ndlabel
        major_axis default_bucket_key
        provide_data provide_label

lib/AI/MXNet/Rtc.pm  view on Meta::CPAN

            const int x_dims = { 10 };
            const int y_ndim = 1;
            const int y_dims = { 10 };

            y[threadIdx.x] = x[threadIdx.x];
        }
=cut

has 'handle'              => (is => 'rw', isa => 'RtcHandle', init_arg => undef);
has [qw/name kernel/]     => (is => 'ro', isa => 'Str', required => 1);
has [qw/inputs outputs/]  => (is => 'ro', isa => 'HashRef[AI::MXNet::NDArray]', required => 1);

sub BUILD
{
    my $self = shift;
    my (@input_names, @output_names, @input_nds, @output_nds);
    while(my ($name, $arr) = each %{ $self->inputs })
    {
        push @input_names, $name;
        push @input_nds, $arr->handle;
    }

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