AI-MXNet
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lib/AI/MXNet/KVStore.pm view on Meta::CPAN
[[ 2. 2. 2.]
[ 2. 2. 2.]]
>>> # pull into multiple devices
>>> $b = [map { mx->nd->ones($shape, $_) } @$gpus]
>>> $kv->pull(3, out=>$b)
>>> print $b->[1]->aspdl()
[[ 2. 2. 2.]
[ 2. 2. 2.]]
>>> # pull a list of key-value pairs.
>>> # On single device
>>> $keys = [5, 7, 9]
>>> $b = [map { mx->nd->zeros($shape) } 0..@$keys-1]
>>> $kv->pull($keys, out=>$b)
>>> print $b->[1]->aspdl()
[[ 2. 2. 2.]
[ 2. 2. 2.]]
>>> # On multiple devices
>>> $b = [map { [map { mx->nd->ones($shape, ctx => $_) } @$gpus ] } 0..@$keys-1]
>>> $kv->pull($keys, out=>$b)
>>> print $b->[1][1]->aspdl()
[[ 2. 2. 2.]
[ 2. 2. 2.]]
=cut
method pull(
Str|ArrayRef[Str] $key,
AI::MXNet::NDArray|ArrayRef[AI::MXNet::NDArray]|ArrayRef[ArrayRef[AI::MXNet::NDArray]] :$out,
Int :$priority=0
)
{
my ($keys, $vals) = _key_value($key, $out);
check_call(
AI::MXNetCAPI::KVStorePullEx(
$self->handle, scalar(@{ $keys }), $keys, $vals, $priority
)
);
}
=head2 set_optimizer
Register an optimizer to the store
If there are multiple machines, this process (should be a worker node)
will pack this optimizer and send it to all servers. It returns after
this action is done.
Parameters
----------
optimizer : Optimizer
the optimizer
=cut
method set_optimizer(AI::MXNet::Optimizer $optimizer)
{
my $is_worker = check_call(AI::MXNetCAPI::KVStoreIsWorkerNode());
if($self->type eq 'dist' and $is_worker)
{
my $optim_str = MIME::Base64::encode_base64(Storable::freeze($optimizer), "");
$self->_send_command_to_servers(0, $optim_str);
}
else
{
$self->_updater(AI::MXNet::Optimizer->get_updater($optimizer));
$self->_set_updater(sub { &{$self->_updater}(@_) });
}
}
=head2 type
Get the type of this kvstore
Returns
-------
type : str
the string type
=cut
method type()
{
return scalar(check_call(AI::MXNetCAPI::KVStoreGetType($self->handle)));
}
=head2 rank
Get the rank of this worker node
Returns
-------
rank : int
The rank of this node, which is in [0, get_num_workers())
=cut
method rank()
{
return scalar(check_call(AI::MXNetCAPI::KVStoreGetRank($self->handle)));
}
=head2 num_workers
Get the number of worker nodes
Returns
-------
size :int
The number of worker nodes
=cut
method num_workers()
{
return scalar(check_call(AI::MXNetCAPI::KVStoreGetGroupSize($self->handle)));
}
=head2 save_optimizer_states
Save optimizer (updater) state to file
Parameters
----------
fname : str
lib/AI/MXNet/KVStore.pm view on Meta::CPAN
multi-machines.
Parameters
----------
updater : function
the updater function
Examples
--------
>>> my $update = sub { my ($key, input, stored) = @_;
... print "update on key: $key\n";
... $stored += $input * 2; };
>>> $kv->_set_updater($update)
>>> $kv->pull(3, out=>$a)
>>> print $a->aspdl()
[[ 4. 4. 4.]
[ 4. 4. 4.]]
>>> $kv->push(3, mx->nd->ones($shape))
update on key: 3
>>> $kv->pull(3, out=>$a)
>>> print $a->aspdl()
[[ 6. 6. 6.]
[ 6. 6. 6.]]
=cut
method _set_updater(CodeRef $updater_func)
{
$self->_updater_func(
sub {
my ($index, $input_handle, $storage_handle) = @_;
$updater_func->(
$index,
AI::MXNet::NDArray->new(handle => $input_handle),
AI::MXNet::NDArray->new(handle => $storage_handle)
);
}
);
check_call(
AI::MXNetCAPI::KVStoreSetUpdater(
$self->handle,
$self->_updater_func
)
);
}
=head2 _barrier
Global barrier between all worker nodes.
For example, assume there are n machines, we want to let machine 0 first
init the values, and then pull the inited value to all machines. Before
pulling, we can place a barrier to guarantee that the initialization is
finished.
=cut
method _barrier()
{
check_call(AI::MXNetCAPI::KVStoreBarrier($self->handle));
}
=head2 _send_command_to_servers
Send a command to all server nodes
Send a command to all server nodes, which will make each server node run
KVStoreServer.controller
This function returns after the command has been executed in all server
nodes.
Parameters
----------
head : int
the head of the command
body : str
the body of the command
=cut
method _send_command_to_servers(Int $head, Str $body)
{
check_call(
AI::MXNetCAPI::KVStoreSendCommmandToServers(
$self->handle,
$head,
$body
)
);
}
=head2 create
Create a new KVStore.
Parameters
----------
name : {'local'}
The type of KVStore
- local works for multiple devices on a single machine (single process)
- dist works for multi-machines (multiple processes)
Returns
-------
kv : KVStore
The created AI::MXNet::KVStore
=cut
method create(Str $name='local')
{
my $handle = check_call(AI::MXNetCAPI::KVStoreCreate($name));
return __PACKAGE__->new(handle => $handle);
}
sub _key_value
{
my ($keys, $vals) = @_;
if(not ref $keys)
{
if(blessed $vals)
{
return ([$keys], [$vals->handle]);
}
else
{
for my $value (@{ $vals })
{
assert(blessed($value) and $value->isa('AI::MXNet::NDArray'));
return ([($keys)x@$vals], [map { $_->handle } @$vals]);
}
}
}
else
{
assert(not blessed($vals) and @$keys == @$vals);
my @c_keys;
my @c_vals;
zip(sub {
my ($key, $val) = @_;
my ($c_key, $c_val) = _key_value($key, $val);
push @c_keys, @$c_key;
push @c_vals, @$c_val;
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