Add performance test for mock backend [WIP]

test/system/test_speed_mock.py

@@ -0,0 +1,179 @@
+import copy
+import profile
+try:
+    import unittest2 as unittest
+except ImportError:
+    import unittest
+
+import pyNN.mock as sim
+#import pyNN.nest as sim
+
+from pyNN.utility import Timer, init_logging
+
+init_logging("test_speed_mock.log", debug=False)
+
+
+class PopulationTest(unittest.TestCase):
+
+    @staticmethod
+    def do_scaling_per_population_test(N):
+        timer = Timer()
+        timer.start()
+        sim.setup()
+        timer.mark("setup")
+        p = sim.Population(N, sim.IF_curr_exp())
+        timer.mark("Population: " + str(N))
+        sim.end()
+        timer.mark("end")
+        elapsed_time = timer.elapsed_time()
+        relative_elapsed_time = elapsed_time / N
+        print("Creating a {}-sized population took {}s ({}s per neuron)".format(N, elapsed_time, relative_elapsed_time))
+
+    def test_scaling_per_population(self, sim=sim):
+        for pN in range(13): # TODO: log?
+            N = 2**pN
+            with self.subTest(N=N):
+                self.do_scaling_per_population_test(N)
+
+    @staticmethod
+    def do_scaling_test(N):
+        timer = Timer()
+        timer.start()
+        sim.setup()
+        timer.mark("setup")
+        for _ in range(N):
+            p = sim.Population(1, sim.IF_curr_exp())
+            timer.mark("Population: " + str(N))
+        sim.end()
+        timer.mark("end")
+        elapsed_time = timer.elapsed_time()
+        relative_elapsed_time = elapsed_time / N
+        print("Creating {} populations took {}s ({}s per population)".format(N, elapsed_time, relative_elapsed_time))
+
+    def test_scaling(self, sim=sim):
+        for pN in range(13): # TODO: log?
+            N = 2**pN
+            with self.subTest(N=N):
+                self.do_scaling_test(N)
+
+    @staticmethod
+    def _add_dummy_parameters(celltype, M):
+        for i in range(M):
+            pname = 'tmp{}'.format(i)
+            celltype.default_parameters[pname] = 0.0
+            celltype.units[pname] = 'mV'
+            celltype.translations[pname] = {
+                'translated_name': pname.upper(),
+                'forward_transform': pname,
+                'reverse_transform': pname.upper()}
+
+    @staticmethod
+    def _remove_dummy_parameters(celltype, M):
+        for i in range(M):
+            pname = 'tmp{}'.format(i)
+            del celltype.default_parameters[pname]
+            del celltype.units[pname]
+            del celltype.translations[pname]
+
+    @staticmethod
+    def do_scaling_cellparams_test(N, M):
+        celltype = copy.deepcopy(sim.IF_cond_exp)
+        assert len(celltype.get_parameter_names()) < 100
+        PopulationTest._add_dummy_parameters(celltype, M)
+        sim.setup()
+        t0 = Timer()
+        t0.start()
+        pop = sim.Population(N, celltype()) # this is the culprit
+        print("Creating a population with {} parameters took {}".format(len(celltype.get_parameter_names()), t0.elapsed_time()))
+        sim.end()
+        PopulationTest._remove_dummy_parameters(celltype, M)
+
+    def test_scaling_cellparams(self, sim=sim):
+        for pN in range(16):
+            N = 2**pN
+            with self.subTest(N=N):
+                self.do_scaling_cellparams_test(1, N)
+
+    @staticmethod
+    def do_scaling_cellparams_popview_test(N, M):
+        celltype = copy.deepcopy(sim.IF_cond_exp)
+        assert len(celltype.get_parameter_names()) < 100
+        PopulationTest._add_dummy_parameters(celltype, M)
+        sim.setup()
+        pop = sim.Population(N, celltype())
+        pview = sim.PopulationView(pop, [0])
+        post_cell = sim.simulator.ID(pview.first_id)
+        post_cell.parent = pop # this is the culprit
+        t0 = Timer()
+        t0.start()
+        post_index = pview.id_to_index(post_cell)
+        print("Calling id_to_index on a view into a population with {} parameters took {}".format(len(celltype.get_parameter_names()), t0.elapsed_time()))
+        sim.end()
+        PopulationTest._remove_dummy_parameters(celltype, M)
+
+    def test_scaling_cellparams_popview(self, sim=sim):
+        for pN in range(8):
+            N = 2**pN
+            with self.subTest(N=N):
+                self.do_scaling_cellparams_popview_test(1, N)
+
+
+class ProjectionTest(unittest.TestCase):
+
+    @staticmethod
+    def do_scaling_per_projection_test(N):
+        sim.setup()
+        pre = sim.Population(N, sim.IF_cond_exp())
+        post = sim.Population(N, sim.IF_cond_exp())
+
+        timer = Timer()
+        timer.start()
+        proj = sim.Projection(pre, post, sim.OneToOneConnector(), synapse_type=sim.StaticSynapse(weight=1.))
+        timer.mark("Projection: " + str(N))
+        elapsed_time = timer.elapsed_time()
+        relative_elapsed_time = elapsed_time / N
+
+        sim.end()
+        print("Creating {}-sized projection took {}s ({}s per synapse)".format(N, elapsed_time, relative_elapsed_time))
+
+
+    def test_scaling_per_projection(self, sim=sim):
+        for pN in range(13): # TODO: log?
+            N = 2**pN
+            with self.subTest(N=N):
+                self.do_scaling_per_projection_test(N)
+
+
+    @staticmethod
+    def do_scaling_test(N):
+        sim.setup()
+        pre = sim.Population(N, sim.IF_cond_exp())
+        post = sim.Population(N, sim.IF_cond_exp())
+
+        timer = Timer()
+        timer.start()
+        for i in range(N):
+
+            # FIXME: add check for class-vs-instance in connector, it fails if the connector is a class
+            proj = sim.Projection(pre[i:i+1], post[i:i+1], sim.OneToOneConnector(), synapse_type=sim.StaticSynapse(weight=1.))
+            timer.mark("Projection: " + str(N))
+        elapsed_time = timer.elapsed_time()
+        relative_elapsed_time = elapsed_time / N
+
+        sim.end()
+
+        print("Creating {} projections took {}s ({}s per projection)".format(N, elapsed_time, relative_elapsed_time))
+
+
+    def test_scaling(self, sim=sim):
+        for pN in range(13): # TODO: log?
+            N = 2**pN
+            with self.subTest(N=N):
+                self.do_scaling_test(N)
+
+
+if __name__ == "__main__":
+    unittest.main()
+
+    #profile.run('print(PopulationTest.do_scaling_test(1000))')
+    #profile.run('print(SchmittiTest.do_the_test(64))')