Slow DumpLayerConnections()

[xavierotazuGDS]

Is your feature request related to a problem? Please describe. Execution of DumpLayerConnections() is probably too slow (see code below).

Describe alternatives you've considered Given the present implementation of DumpLayerConnections(), a solution would be to profile the implementation and improve speed.

Another possible solution (in addition to the previous one) could be to add another version of DumpLayerConnections() that accepts a collection of connections as input parameter. Something similar to:

my_conn = nest.GetConnections(layer1, layer2, ...) nest.DumpConnections(my_conn)

Additional context The following code takes 1m20s to execute with NEST 3.6 (git master head from february 12th) Python 3.8.12, RockyLinux 8.5

import nest

pos = nest.spatial.grid(shape = [100,100] )

input_l = nest.Create('iaf_psc_alpha', positions=pos) layer_0 = nest.Create('iaf_psc_alpha', positions=pos)

conn_neur = {'rule':'pairwise_bernoulli', 'mask': {'grid':{'shape':[10,10]}} } syn_0 = {'synapse_model': 'static_synapse'}

nest.Connect(input_l, layer_0, conn_neur, syn_0)

nest.DumpLayerConnections(input_l, layer_0, 'static_synapse', 'conn.txt')

[xavierotazuGDS]

The following version of dump_connections() reduces the execution time to 9 seconds. I checked the results are correct and exactly the same as the original method.

template < int D > void Layer< D >::dump_connections( std::ostream& out, NodeCollectionPTR node_collection, AbstractLayerPTR target_layer, const Token& syn_model ) { std::vector< std::pair< Position< D >, size_t > >* src_vec = get_global_positions_vector( node_collection );

// Dictionary with parameters for get_connections() DictionaryDatum conn_filter( new Dictionary ); def( conn_filter, names::synapse_model, syn_model ); def( conn_filter, names::target, NodeCollectionDatum( target_layer->get_node_collection() ) );

// Avoid setting up new array for each iteration of the loop // std::vector< size_t > source_array( 1 );

// for ( typename std::vector< std::pair< Position< D >, size_t > >::iterator src_iter = src_vec->begin(); // src_iter != src_vec->end(); // ++src_iter ) // {

// const size_t source_node_id = src_iter->second; // const Position< D > source_pos = src_iter->first;

// source_array[ 0 ] = source_node_id; // def( conn_filter, names::source, NodeCollectionDatum( NodeCollection::create( source_array ) ) ); def( conn_filter, names::source, NodeCollectionDatum( node_collection ) ); ArrayDatum connectome = kernel().connection_manager.get_connections( conn_filter );

size_t previous_source_node_id = getValue< ConnectionDatum >( connectome.get( 0 ) ).get_source_node_id();
 Position< D > source_pos = src_vec->begin()->first;

// Print information about all local connections for current source
for ( size_t i = 0; i < connectome.size(); ++i )
{
  ConnectionDatum con_id = getValue< ConnectionDatum >( connectome.get( i ) );
  const size_t source_node_id = con_id.get_source_node_id();

  // Search source_pos for source node only if it is a different node
  if(source_node_id != previous_source_node_id)
	{
		source_pos = src_vec->begin()->first;

		for ( typename std::vector< std::pair< Position< D >, size_t > >::iterator src_iter = src_vec->begin();
		  src_iter != src_vec->end() && source_node_id!=src_iter->second;
		  ++src_iter, source_pos =  src_iter->first);

		previous_source_node_id = source_node_id;
	}

// DictionaryDatum result_dict = kernel().connection_manager.get_synapse_status( con_id.get_source_node_id(), DictionaryDatum result_dict = kernel().connection_manager.get_synapse_status( source_node_id, con_id.get_target_node_id(), con_id.get_target_thread(), con_id.get_synapse_model_id(), con_id.get_port() );

  long target_node_id = getValue< long >( result_dict, names::target );
  double weight = getValue< double >( result_dict, names::weight );
  double delay = getValue< double >( result_dict, names::delay );

  // Print source, target, weight, delay, rports
  out << source_node_id << ' ' << target_node_id << ' ' << weight << ' ' << delay;

  Layer< D >* tgt_layer = dynamic_cast< Layer< D >* >( target_layer.get() );

  out << ' ';
  const long tnode_lid = tgt_layer->node_collection_->get_lid( target_node_id );
  assert( tnode_lid >= 0 );
  tgt_layer->compute_displacement( source_pos, tnode_lid ).print( out );
  out << '\n';
}

// } }

[xavierotazuGDS]

I send this even improved version, considering (I do not know if it is true) that both connectome and source nodes positions (src_vec) are ordered by source node. I checked the results are correct and exactly the same as the original version.

template < int D >
void
Layer< D >::dump_connections( std::ostream& out,
  NodeCollectionPTR node_collection,
  AbstractLayerPTR target_layer,
  const Token& syn_model )
{
std::vector< std::pair< Position< D >, size_t > >* src_vec = get_global_positions_vector( node_collection );

// Dictionary with parameters for get_connections()
DictionaryDatum conn_filter( new Dictionary );
def( conn_filter, names::synapse_model, syn_model );
def( conn_filter, names::target, NodeCollectionDatum( target_layer->get_node_collection() ) );

def( conn_filter, names::source, NodeCollectionDatum( node_collection ) );
ArrayDatum connectome = kernel().connection_manager.get_connections( conn_filter );

size_t previous_source_node_id = getValue< ConnectionDatum >( connectome.get( 0 ) ).get_source_node_id();
typename std::vector< std::pair< Position< D >, size_t > >::iterator src_iter = src_vec->begin();
 Position< D > source_pos = src_iter->first;

// Print information about all local connections for current source
for ( size_t i = 0; i < connectome.size(); ++i )
{
  ConnectionDatum con_id = getValue< ConnectionDatum >( connectome.get( i ) );
  const size_t source_node_id = con_id.get_source_node_id();

  // Search source_pos for source node only if it is a different node
  if(source_node_id != previous_source_node_id)
	{
		assert((src_iter++)!=src_vec->end());
		source_pos = src_iter->first;

		previous_source_node_id = source_node_id;
	}

  DictionaryDatum result_dict = kernel().connection_manager.get_synapse_status( source_node_id,
    con_id.get_target_node_id(),
    con_id.get_target_thread(),
    con_id.get_synapse_model_id(),
    con_id.get_port() );

  long target_node_id = getValue< long >( result_dict, names::target );
  double weight = getValue< double >( result_dict, names::weight );
  double delay = getValue< double >( result_dict, names::delay );

  // Print source, target, weight, delay, rports
  out << source_node_id << ' ' << target_node_id << ' ' << weight << ' ' << delay;

  Layer< D >* tgt_layer = dynamic_cast< Layer< D >* >( target_layer.get() );

  out << ' ';
  const long tnode_lid = tgt_layer->node_collection_->get_lid( target_node_id );
  assert( tnode_lid >= 0 );
  tgt_layer->compute_displacement( source_pos, tnode_lid ).print( out );
  out << '\n';
}

}

[xavierotazuGDS]

I propose this solution at pull request #3160

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Issue automatically marked stale!