Add performance test for mock backend [WIP]

test/system/test_speed_mock.py

@@ -0,0 +1,205 @@
+try:
+    import unittest2 as unittest
+except ImportError:
+    import unittest
+
+import pyNN.mock as sim
+import numpy as np
+from pyNN.utility import Timer
+
+
+class PopulationTest(unittest.TestCase):
+    @staticmethod
+    def do_scaling_per_population_test(N):
+        timer = Timer()
+        timer.start()
+        sim.setup()
+        timer.mark("setup")
+        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 powerN in range(13):
+            N = 2 ** powerN
+            with self.subTest(N=N):
+                self.do_scaling_per_population_test(N)
+
+    @staticmethod
+    def do_scaling_per_population_view_test(N, M):
+        sim.setup()
+        pop = sim.Population(2**M, sim.IF_curr_exp())
+        timer = Timer()
+        timer.start()
+        sim.PopulationView(pop, np.array(range(N)))
+        timer.mark("PopulationView size: " + str(N))
+        sim.end()
+        timer.mark("end")
+        elapsed_time = timer.elapsed_time()
+        relative_elapsed_time = elapsed_time / N
+        print("Creating a {}-sized population view took {}s "
+              "({}s per view)".format(
+                N, elapsed_time, relative_elapsed_time))
+
+    def test_scaling_per_population_view(self, sim=sim):
+        M = 13
+        for powerN in range(M):
+            N = 2 ** powerN
+            with self.subTest(N=N):
+                self.do_scaling_per_population_view_test(N, M)
+
+    @staticmethod
+    def do_scaling_test(N):
+        timer = Timer()
+        timer.start()
+        sim.setup()
+        timer.mark("setup")
+        for _ in range(N):
+            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 powerN in range(13):
+            N = 2 ** powerN
+            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_id_to_index_test(N):
+        # copy.deepcopy doesn't help here => we add and restore manually
+        celltype = sim.IF_cond_exp
+        assert len(celltype.get_parameter_names()) < 100
+        PopulationTest._add_dummy_parameters(celltype, N)
+        num_params = len(celltype.get_parameter_names())
+        sim.setup()
+        pop = sim.Population(1, celltype())
+        pview = sim.PopulationView(pop, [0])
+        # we specifically create an ID to check that having a parent leads to
+        # the extreme slow down of id_to_index
+        post_cell = sim.simulator.ID(pview.first_id)
+        post_cell.parent = pop  # this is the culprit
+        t0 = Timer()
+        t0.start()
+        pop.id_to_index(post_cell)
+        elapsed_time = t0.elapsed_time()
+        relative_elapsed_time = elapsed_time / num_params
+        print("Calling id_to_index on a population with {} "
+              "parameters took {} ({} per parameter)".format(
+                  num_params,
+                  elapsed_time, relative_elapsed_time))
+        t1 = Timer()
+        t1.start()
+        pview.id_to_index(post_cell)
+        elapsed_time = t1.elapsed_time()
+        relative_elapsed_time = elapsed_time / num_params
+        print("Calling id_to_index on a view into a population with {} "
+              "parameters took {} ({} per parameter)".format(
+                  num_params,
+                  elapsed_time, relative_elapsed_time))
+        sim.end()
+        PopulationTest._remove_dummy_parameters(celltype, N)
+
+    def test_scaling_cellparams_id_to_index(self, sim=sim):
+        for powerN in range(8):
+            N = 2 ** powerN
+            with self.subTest(N=N):
+                self.do_scaling_cellparams_id_to_index_test(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()
+        sim.Projection(
+            pre,
+            post,
+            sim.OneToOneConnector(),
+            synapse_type=sim.StaticSynapse(weight=1.0)
+        )
+        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 powerN in range(13):
+            N = 2 ** powerN
+            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):
+            sim.Projection(
+                pre[i: i + 1],
+                post[i: i + 1],
+                sim.OneToOneConnector(),
+                synapse_type=sim.StaticSynapse(weight=1.0)
+            )
+            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 powerN in range(13):
+            N = 2 ** powerN
+            with self.subTest(N=N):
+                self.do_scaling_test(N)
+
+
+if __name__ == "__main__":
+    unittest.main()