AI-MXNet-Gluon-Contrib
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Revision history for Perl extension AI::MXNet::Gluon::Contrib
1.33 Thu Oct 4 13:25:56 PDT 2018
- Fixed kwalitee issues.
1.32 Sun Jul 15 12:12:15 PDT 2018
- Missing POD fixes.
1.31 Sat Jul 14 08:33:21 PDT 2018
- Fixed CPAN indexing issue.
1.3 Tue Jul 10 21:19:13 PDT 2018
- Initial release
Changes
lib/AI/MXNet/Gluon/Contrib.pm
lib/AI/MXNet/Gluon/Contrib/NN/BasicLayers.pm
Makefile.PL
MANIFEST
META.json
META.yml
README
t/AI-MXNet-Gluon-Contrib.t
{
"abstract" : "Perl interface to MXNet Gluon Contrib",
"author" : [
"Sergey Kolychev <sergeykolychev.github@gmail.com>"
],
"dynamic_config" : 0,
"generated_by" : "ExtUtils::MakeMaker version 7.24, CPAN::Meta::Converter version 2.143240",
"license" : [
"apache_2_0"
],
"meta-spec" : {
"url" : "http://search.cpan.org/perldoc?CPAN::Meta::Spec",
"version" : "2"
},
"name" : "AI-MXNet-Gluon-Contrib",
"no_index" : {
"directory" : [
"t",
"inc"
]
},
"prereqs" : {
"build" : {
"requires" : {}
},
"configure" : {
"requires" : {
"ExtUtils::MakeMaker" : "6.30"
}
},
"runtime" : {
"requires" : {
"AI::MXNet" : "1.33"
}
},
"test" : {
"requires" : {}
}
},
"release_status" : "stable",
"version" : "1.33"
}
---
abstract: 'Perl interface to MXNet Gluon Contrib'
author:
- 'Sergey Kolychev <sergeykolychev.github@gmail.com>'
build_requires: {}
configure_requires:
ExtUtils::MakeMaker: '6.30'
dynamic_config: 0
generated_by: 'ExtUtils::MakeMaker version 7.24, CPAN::Meta::Converter version 2.143240'
license: apache
meta-spec:
url: http://module-build.sourceforge.net/META-spec-v1.4.html
version: '1.4'
name: AI-MXNet-Gluon-Contrib
no_index:
directory:
- t
- inc
requires:
AI::MXNet: '1.31'
version: '1.33'
Makefile.PL view on Meta::CPAN
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
use strict;
use warnings;
use 5.014000;
use ExtUtils::MakeMaker 6.30;
my %WriteMakefileArgs = (
"ABSTRACT" => "Perl interface to MXNet Gluon Contrib",
"AUTHOR" => "Sergey Kolychev <sergeykolychev.github\@gmail.com>",
"BUILD_REQUIRES" => {},
"CONFIGURE_REQUIRES" => {
"ExtUtils::MakeMaker" => "6.30"
},
"DISTNAME" => "AI-MXNet-Gluon-Contrib",
"EXE_FILES" => [],
"LICENSE" => "apache_2_0",
"NAME" => "AI::MXNet::Gluon::Contrib",
"PREREQ_PM" => {
"AI::MXNet" => "1.31",
},
"TEST_REQUIRES" => {},
"VERSION" => "1.33",
"test" => {
"TESTS" => "t/*.t"
}
);
my %FallbackPrereqs = (
"AI::MXNet" => "1.31"
);
unless ( eval { ExtUtils::MakeMaker->VERSION(6.63_03) } ) {
delete $WriteMakefileArgs{TEST_REQUIRES};
delete $WriteMakefileArgs{BUILD_REQUIRES};
$WriteMakefileArgs{PREREQ_PM} = \%FallbackPrereqs;
}
delete $WriteMakefileArgs{CONFIGURE_REQUIRES}
unless eval { ExtUtils::MakeMaker->VERSION(6.52) };
WriteMakefile(%WriteMakefileArgs);
This archive contains the distribution AI-MXNet-Gluon-Contrib,
version 1.33:
Perl interface to MXNet Gluon Contib modules, a collection of supplemental Gluon blocks.
This library is licensed under Apache 2.0 license https://www.apache.org/licenses/LICENSE-2.0
lib/AI/MXNet/Gluon/Contrib.pm view on Meta::CPAN
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
package AI::MXNet::Gluon::Contrib;
use strict;
use warnings;
use AI::MXNet;
use AI::MXNet::Gluon::Contrib::NN::BasicLayers;
our $VERSION = '1.33';
=head1 NAME
AI::MXNet::Gluon::Contrib - A collection of supplemental Gluon blocks.
=cut
1;
=head1 AUTHOR
Sergey Kolychev, <sergeykolychev.github@gmail.com>
=head1 COPYRIGHT & LICENSE
This library is licensed under Apache 2.0 license L<https://www.apache.org/licenses/LICENSE-2.0>
=cut
lib/AI/MXNet/Gluon/Contrib/NN/BasicLayers.pm view on Meta::CPAN
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
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)
{
return AI::MXNet::NDArray->concat((map { $_->($x) } $self->_children->values), dim=>$self->axis);
}
__PACKAGE__->register('AI::MXNet::Gluon::NN');
package AI::MXNet::Gluon::NN::HybridConcurrent;
use AI::MXNet::Gluon::Mouse;
extends 'AI::MXNet::Gluon::NN::HybridSequential';
=head1 NAME
AI::MXNet::Gluon::NN::HybridConcurrent - Lays HubridBlocks concurrently.
=cut
=head1 DESCRIPTION
Lays HybridBlocks 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->HybridConcurrent();
# 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 hybrid_forward(GluonClass $F, GluonInput $x)
{
return $F->concat((map { $_->($x) } $self->_children->values), dim=>$self->axis);
}
__PACKAGE__->register('AI::MXNet::Gluon::NN');
package AI::MXNet::Gluon::NN::Identity;
use AI::MXNet::Gluon::Mouse;
extends 'AI::MXNet::Gluon::HybridBlock';
=head1 NAME
AI::MXNet::Gluon::NN::Identity - Block that passes through the input directly.
=cut
=head1 DESCRIPTION
Block that passes through the input directly.
This block can be used in conjunction with HybridConcurrent
block for residual connection.
Example:
$net = nn->HybridConcurrent();
# use net's name_scope to give child Blocks appropriate names.
$net->name_scope(sub {
$net->add(nn->Dense(10, activation=>'relu'));
$net->add(nn->Dense(20));
$net->add(nn->Identity());
});
=cut
method hybrid_forward(GluonClass $F, GluonInput $x)
{
return $x;
}
__PACKAGE__->register('AI::MXNet::Gluon::NN');
package AI::MXNet::Gluon::NN::SparseEmbedding;
use AI::MXNet::Gluon::Mouse;
extends 'AI::MXNet::Gluon::Block';
=head1 NAME
AI::MXNet::Gluon::NN::SparseEmbedding - Turns non-negative integers (indexes/tokens) into dense vectors.
=cut
=head1 DESCRIPTION
Turns non-negative integers (indexes/tokens) into dense vectors
of fixed size. eg. [4, 20] -> [[0.25, 0.1], [0.6, -0.2]]
This SparseBlock is designed for distributed training with extremely large
input dimension. Both weight and gradient w.r.t. weight are AI::MXNet::NDArray::RowSparse.
Parameters
----------
input_dim : int
Size of the vocabulary, i.e. maximum integer index + 1.
output_dim : int
Dimension of the dense embedding.
dtype : Dtype, default 'float32'
Data type of output embeddings.
weight_initializer : Initializer
Initializer for the embeddings matrix.
=cut
has 'input_dim' => (is => 'ro', isa => 'Int', required => 1);
has 'output_dim' => (is => 'ro', isa => 'Int', required => 1);
has 'dtype' => (is => 'ro', isa => 'Dtype', default => 'float32');
has 'weight_initializer' => (is => 'ro', isa => 'Maybe[Initializer]');
method python_constructor_arguments() { [qw/input_dim output_dim dtype weight_initializer/] }
sub BUILD
{
my $self = shift;
$self->_kwargs({
input_dim => $self->input_dim,
output_dim => $self->output_dim,
dtype => $self->dtype,
sparse_grad => 1
});
$self->weight($self->params->get('weight', shape=>[$self->input_dim, $self->output_dim],
init=>$self->weight_initializer, dtype=>$self->dtype,
grad_stype=>'row_sparse', stype=>'row_sparse'));
}
method forward(GluonInput $x)
{
my $weight = $self->weight->row_sparse_data($x);
return AI::MXNet::NDArray->Embedding($x, $weight, { name=>'fwd', %{ $self->_kwargs } });
}
use overload '""' => sub {
my $self = shift;
$self->_class_name.'('.$self->input_dim.' -> '.$self->input_dim.', '.$self->dtype.')';
};
__PACKAGE__->register('AI::MXNet::Gluon::NN');
1;
t/AI-MXNet-Gluon-Contrib.t view on Meta::CPAN
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
use strict;
use warnings;
use Test::More tests => 1;
BEGIN { use_ok('AI::MXNet::Gluon::Contrib') };
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