def _get_sdram_usage_for_neuron_params(self, vertex_slice):
per_neuron_usage = (
self._input_type.get_sdram_usage_per_neuron_in_bytes() +
self._threshold_type.get_sdram_usage_per_neuron_in_bytes())
if self._additional_input is not None:
per_neuron_usage += \
self._additional_input.get_sdram_usage_per_neuron_in_bytes()
return (
(common_constants.DATA_SPECABLE_BASIC_SETUP_INFO_N_WORDS * 4) +
ReceiveBuffersToHostBasicImpl.get_recording_data_size(3) +
(per_neuron_usage * vertex_slice.n_atoms) +
self._neuron_model.get_sdram_usage_in_bytes(vertex_slice.n_atoms))
def get_sdram_usage_for_atoms(self, vertex_slice, graph):
poisson_params_sz = self.get_params_bytes(vertex_slice)
total_size = \
((front_end_common_constants.
DATA_SPECABLE_BASIC_SETUP_INFO_N_WORDS * 4) +
ReceiveBuffersToHostBasicImpl.get_recording_data_size(1) +
ReceiveBuffersToHostBasicImpl.get_buffer_state_region_size(1) +
SpikeSourcePoissonPartitionedVertex.get_provenance_data_size(0) +
poisson_params_sz)
total_size += self._get_number_of_mallocs_used_by_dsg(
vertex_slice, graph.incoming_edges_to_vertex(self)) * \
front_end_common_constants.SARK_PER_MALLOC_SDRAM_USAGE
if self._using_auto_pause_and_resume:
total_size += self._minimum_buffer_sdram
else:
spike_buffer_size = self._spike_recorder.get_sdram_usage_in_bytes(
vertex_slice.n_atoms, self._no_machine_time_steps)
total_size += recording_utils.get_buffer_sizes(
self._spike_buffer_max_size, spike_buffer_size,
self._enable_buffered_recording)
return total_size
