AI-MXNet-Gluon-Contrib
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lib/AI/MXNet/Gluon/Contrib/NN/BasicLayers.pm view on Meta::CPAN
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use strict;
use warnings;
package AI::MXNet::Gluon::Contrib::NN::BasicLayers;
=head1 NAME
AI::MXNet::Gluon::Contrib::NN::BasicLayers - An additional collection of Gluon's building blocks.
=cut
use AI::MXNet::Function::Parameters;
package AI::MXNet::Gluon::NN::Concurrent;
use AI::MXNet::Gluon::Mouse;
extends 'AI::MXNet::Gluon::NN::Sequential';
=head1 NAME
AI::MXNet::Gluon::NN::Concurrent - Lays Blocks concurrently.
=cut
=head1 DESCRIPTION
Lays Blocks concurrently.
This block feeds its input to all children blocks, and
produces the output by concatenating all the children blocks' outputs
on the specified axis.
Example:
$net = nn->Concurrent();
# use net's name_scope to give children blocks appropriate names.
$net->name_scope(sub {
$net->add(nn->Dense(10, activation=>'relu'));
$net->add(nn->Dense(20));
$net->add(nn->Identity());
});
Parameters
----------
axis : int, default -1
The axis on which to concatenate the outputs.
=cut
has 'axis' => (is => 'rw', isa => 'Int', default => -1);
method python_constructor_arguments() { ['axis'] }
method forward(GluonInput $x)
{
( run in 0.838 second using v1.01-cache-2.11-cpan-acf6aa7dc9e )