AI-MXNet
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t/test_init.t view on Meta::CPAN
use strict;
use warnings;
use Test::More tests => 4;
use AI::MXNet qw(mx);
sub test_default_init
{
my $data = mx->sym->Variable('data');
my $sym = mx->sym->LeakyReLU(data => $data, act_type => 'prelu');
my $mod = mx->mod->Module($sym);
$mod->bind(data_shapes=>[['data', [10,10]]]);
$mod->init_params;
ok((((values %{ ($mod->get_params)[0] }))[0]->aspdl == 0.25)->all);
}
sub test_variable_init
{
my $data = mx->sym->Variable('data');
my $gamma = mx->sym->Variable('gamma', init => mx->init->One());
my $sym = mx->sym->LeakyReLU(data => $data, gamma => $gamma, act_type => 'prelu');
my $mod = mx->mod->Module($sym);
$mod->bind(data_shapes=>[['data', [10,10]]]);
$mod->init_params();
ok((((values %{ ($mod->get_params)[0] }))[0]->aspdl == 1)->all);
}
sub test_aux_init
{
my $data = mx->sym->Variable('data');
my $sym = mx->sym->BatchNorm(data => $data, name => 'bn');
my $mod = mx->mod->Module($sym);
$mod->bind(data_shapes=>[['data', [10, 10, 3, 3]]]);
$mod->init_params();
ok((($mod->get_params)[1]->{bn_moving_var}->aspdl == 1)->all);
ok((($mod->get_params)[1]->{bn_moving_mean}->aspdl == 0)->all);
}
test_default_init();
test_variable_init();
test_aux_init();
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