AI-MXNet
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lib/AI/MXNet/NDArray.pm view on Meta::CPAN
Parameters
----------
source : int
Original position of the axes to move.
destination : int
Destination position for each of the original axes.
Returns
-------
result :NDArray
Array with moved axes.
Examples
--------
> $X = mx->nd->array([[1, 2, 3],
[4, 5, 6]]);
> print Dumper($X->moveaxis(0, 1)->shape)
> [3, 2]
=cut
method moveaxis(Int $source, Int $dest)
{
my @axes = 0..$self->ndim-1;
$source += @axes if $source < 0;
$dest += @axes if $dest < 0;
assert($source < @axes);
assert($dest < @axes);
my ($to_move) = splice(@axes, $source, 1);
splice(@axes, $dest, 0, $to_move);
return __PACKAGE__->transpose($self, \@axes);
}
=head2 broadcast_to
Broadcasting the current NDArray into the given shape.
Parameters
---------
Shape $shape : the shape to broadcast
=cut
method broadcast_to(Shape $shape)
{
my $cur_shape = $self->shape;
my $err_str = "operands could not be broadcast together with remapped shapes"
."[original->remapped]: [@$cur_shape] and requested shape [@$shape]";
if(@$shape < @$cur_shape)
{
confess($err_str);
}
@$cur_shape = ((1)x(@$shape - @$cur_shape), @$cur_shape);
my $cur_shape_arr = pdl($cur_shape);
my $broadcasting_axes = ($cur_shape_arr != pdl($shape))->which->unpdl;
if (grep { $cur_shape->[$_] != 1 } @$broadcasting_axes)
{
confess($err_str);
}
if(join(',',@$cur_shape) ne join(',',@{ $self->shape }))
{
return __PACKAGE__->SUPER::broadcast_to($self->reshape($cur_shape),{ shape => $shape });
}
else
{
return __PACKAGE__->SUPER::broadcast_to($self, { shape => $shape });
}
}
=head2 wait_to_read
Block until all pending write operations on the NDArray are finished.
This function will return when all the pending writes to the current
NDArray are finished. There can be pending reads going on when the
function returns.
=cut
method wait_to_read()
{
check_call(AI::MXNetCAPI::NDArrayWaitToRead($self->handle));
}
=head2 shape
Get the shape of current NDArray.
Returns
-------
an array ref representing the shape of current ndarray
=cut
method shape()
{
return scalar(check_call(AI::MXNetCAPI::NDArrayGetShape($self->handle)));
}
=head2 size
Number of elements in the array.
=cut
method size(Shape|Undef $shape=)
{
my $size = 1;
map { $size *= $_ } @{ $shape//$self->shape };
return $size;
}
=head2 context
The context of the NDArray.
Returns
-------
$context : AI::MXNet::Context
=cut
method context()
{
my ($dev_type_id, $dev_id) = check_call(
AI::MXNetCAPI::NDArrayGetContext($self->handle)
);
return AI::MXNet::Context->new(
device_type => AI::MXNet::Context::devtype2str->{ $dev_type_id },
( run in 1.442 second using v1.01-cache-2.11-cpan-39bf76dae61 )