import numpy
import pcraster as pcr
from performance.timer_case import classic_operation, operation_timer_case
class ClassicOperationTimerCase(operation_timer_case.OperationTimerCase):
pass
operation_timer_case.add_operation_timer_cases(
ClassicOperationTimerCase, pcr, classic_operation.operations)
import numpy
import pcraster.multicore as pcrmc
from performance.timer_case import multicore_operation, operation_timer_case
class MulticoreOperationTimerCase(operation_timer_case.OperationTimerCase):
def set_up(self):
# Make sure the Fern algorithm instantiation with the sequential
# execution policy is used. We don't want any threading stuff to
# be used. The goals is to be able to compare the classic PCRaster
# implementation (unicore) with the new Fern implementation
# (also unicore).
pcrmc.set_nr_worker_threads(0)
operation_timer_case.OperationTimerCase.set_up(self)
operation_timer_case.add_operation_timer_cases(
MulticoreOperationTimerCase, pcrmc, multicore_operation.operations)
import numpy
import pcraster.multicore as pcrmc
from performance.timer_case import multicore_operation, operation_timer_case
class MulticoreOperationTimerCase(operation_timer_case.OperationTimerCase):
def set_up(self):
# Make sure the Fern algorithm instantiation with the sequential
# execution policy is used. We don't want any threading stuff to
# be used. The goals is to be able to compare the classic PCRaster
# implementation (unicore) with the new Fern implementation
# (also unicore).
pcrmc.set_nr_worker_threads(0)
operation_timer_case.OperationTimerCase.set_up(self)
operation_timer_case.add_operation_timer_cases(MulticoreOperationTimerCase,
pcrmc,
multicore_operation.operations)
