def test_many_subvertices(self):
subvertices = list()
for i in range(20 * 17): #51 atoms per each processor on 20 chips
subvertices.append(PartitionedVertex(
0, 50, get_resources_used_by_atoms(0, 50, []),
"Subvertex " + str(i)))
self.graph = PartitionableGraph("Graph",subvertices)
self.graph_mapper = GraphMapper()
self.graph_mapper.add_subvertices(subvertices)
self.bp = RadialPlacer(self.machine, self.graph)
self.subgraph = PartitionedGraph(subvertices=subvertices)
placements = self.bp.place(self.subgraph, self.graph_mapper)
unorderdered_info = list()
for placement in placements.placements:
unorderdered_info.append(
(placement.subvertex.label.split(" ")[0],
"{:<4}".format(placement.subvertex.label.split(" ")[1]),
placement.subvertex.n_atoms, 'x: ',
placement.x, 'y: ', placement.y, 'p: ', placement.p))
from operator import itemgetter
sorted_info = sorted(unorderdered_info, key=itemgetter(4, 6, 8))
from pprint import pprint as pp
pp(sorted_info)
pp("{}".format("=" * 50))
sorted_info = sorted(unorderdered_info, key=lambda x: int(x[1]))
pp(sorted_info)
def test_place_where_subvertices_have_vertices(self):
self.bp = RadialPlacer(self.machine, self.graph)
self.graph_mapper = GraphMapper()
self.graph_mapper.add_subvertices(self.subvertices, self.vert1)
placements = self.bp.place(self.subgraph, self.graph_mapper)
for placement in placements.placements:
print placement.subvertex.label, placement.subvertex.n_atoms, \
'x:', placement.x, 'y:', placement.y, 'p:', placement.p
def test_place_subvertex_too_big_with_vertex(self):
large_vertex = Vertex(500, "Large vertex 500")
large_subvertex = large_vertex.create_subvertex(
0, 499, get_resources_used_by_atoms(0, 499, []))#Subvertex(0, 499, "Large subvertex")
self.graph.add_vertex(large_vertex)
self.graph = PartitionableGraph("Graph",[large_vertex])
self.graph_mapper = GraphMapper()
self.graph_mapper.add_subvertices([large_subvertex], large_vertex)
self.bp = RadialPlacer(self.machine, self.graph)
self.subgraph = PartitionedGraph(subvertices=[large_subvertex])
with self.assertRaises(PacmanPlaceException):
placements = self.bp.place(self.subgraph, self.graph_mapper)
def test_fill_machine(self):
subvertices = list()
for i in range(99 * 17): #50 atoms per each processor on 20 chips
subvertices.append(PartitionedVertex(
0, 50, get_resources_used_by_atoms(0, 50, []),
"Subvertex " + str(i)))
self.graph = PartitionableGraph("Graph",subvertices)
self.graph_mapper = GraphMapper()
self.graph_mapper.add_subvertices(subvertices)
self.bp = RadialPlacer(self.machine, self.graph)
self.subgraph = PartitionedGraph(subvertices=subvertices)
placements = self.bp.place(self.subgraph, self.graph_mapper)
def test_deal_with_constraint_placement_subvertices_have_vertices(self):
self.bp = RadialPlacer(self.machine, self.graph)
self.subvertex1.add_constraint(PlacerChipAndCoreConstraint(1, 5, 2))
self.assertIsInstance(self.subvertex1.constraints[0], PlacerChipAndCoreConstraint)
self.subvertex2.add_constraint(PlacerChipAndCoreConstraint(3, 5, 7))
self.subvertex3.add_constraint(PlacerChipAndCoreConstraint(2, 4, 6))
self.subvertex4.add_constraint(PlacerChipAndCoreConstraint(6, 7, 16))
self.subvertices = list()
self.subvertices.append(self.subvertex1)
self.subvertices.append(self.subvertex2)
self.subvertices.append(self.subvertex3)
self.subvertices.append(self.subvertex4)
self.subedges = list()
self.subgraph = PartitionedGraph("Subgraph", self.subvertices,
self.subedges)
self.graph_mapper = GraphMapper()
self.graph_mapper.add_subvertices(self.subvertices, self.vert1)
placements = self.bp.place(self.subgraph, self.graph_mapper)
for placement in placements.placements:
print placement.subvertex.label, placement.subvertex.n_atoms, \
'x:', placement.x, 'y:', placement.y, 'p:', placement.p
class TestRadialPlacer(unittest.TestCase):
def setUp(self):
########################################################################
#Setting up vertices, edges and graph #
########################################################################
self.vert1 = Vertex(100, "New AbstractConstrainedVertex 1")
self.vert2 = Vertex(5, "New AbstractConstrainedVertex 2")
self.vert3 = Vertex(3, "New AbstractConstrainedVertex 3")
self.edge1 = AbstractPartitionableEdge(self.vert1, self.vert2, "First edge")
self.edge2 = AbstractPartitionableEdge(self.vert2, self.vert1, "Second edge")
self.edge3 = AbstractPartitionableEdge(self.vert1, self.vert3, "Third edge")
self.verts = [self.vert1, self.vert2, self.vert3]
self.edges = [self.edge1, self.edge2, self.edge3]
self.graph = PartitionableGraph("Graph", self.verts, self.edges)
########################################################################
#Setting up machine #
########################################################################
flops = 1000
(e, ne, n, w, sw, s) = range(6)
processors = list()
for i in range(18):
processors.append(Processor(i, flops))
_sdram = SDRAM(128*(2**20))
ip = "192.168.240.253"
chips = list()
for x in range(10):
for y in range(10):
links = list()
links.append(Link(x, y, 0, (x + 1)%10, y, n, n))
links.append(Link(x, y, 1, (x + 1)%10, (y + 1)%10 , s, s))
links.append(Link(x, y, 2, x, (y + 1)%10, n, n))
links.append(Link(x, y, 3, (x - 1)%10, y, s, s))
links.append(Link(x, y, 4, (x - 1)%10, (y - 1)%10, n, n))
links.append(Link(x, y, 5, x, (y - 1)%10, s, s))
r = Router(links, False, 100, 1024)
chips.append(Chip(x, y, processors, r, _sdram, ip))
self.machine = Machine(chips)
########################################################################
#Setting up subgraph and graph_mapper #
########################################################################
self.subvertices = list()
self.subvertex1 = Subvertex(
0, 1, get_resources_used_by_atoms(0, 1, []), "First subvertex")
self.subvertex2 = Subvertex(
1, 5, get_resources_used_by_atoms(1, 5, []), "Second subvertex")
self.subvertex3 = Subvertex(
5, 10, get_resources_used_by_atoms(5, 10, []), "Third subvertex")
self.subvertex4 = Subvertex(
10, 100, get_resources_used_by_atoms(10, 100, []),
"Fourth subvertex")
self.subvertices.append(self.subvertex1)
self.subvertices.append(self.subvertex2)
self.subvertices.append(self.subvertex3)
self.subvertices.append(self.subvertex4)
self.subedges = list()
self.subgraph = PartitionedGraph("Subgraph", self.subvertices,
self.subedges)
self.graph_mapper = GraphMapper()
self.graph_mapper.add_subvertices(self.subvertices)
@unittest.skip("demonstrating skipping")
def test_new_basic_placer(self):
self.bp = RadialPlacer(self.machine, self.graph)
self.assertEqual(self.bp._machine, self.machine)
self.assertEqual(self.bp._graph, self.graph)
@unittest.skip("demonstrating skipping")
def test_place_where_subvertices_dont_have_vertex(self):
self.bp = RadialPlacer(self.machine, self.graph)
placements = self.bp.place(self.subgraph, self.graph_mapper)
for placement in placements.placements:
print placement.subvertex.label, placement.subvertex.n_atoms, \
'x:', placement.x, 'y:', placement.y, 'p:', placement.p
@unittest.skip("demonstrating skipping")
def test_place_where_subvertices_have_vertices(self):
self.bp = RadialPlacer(self.machine, self.graph)
self.graph_mapper = GraphMapper()
self.graph_mapper.add_subvertices(self.subvertices, self.vert1)
placements = self.bp.place(self.subgraph, self.graph_mapper)
for placement in placements.placements:
print placement.subvertex.label, placement.subvertex.n_atoms, \
'x:', placement.x, 'y:', placement.y, 'p:', placement.p
@unittest.skip("demonstrating skipping")
def test_place_subvertex_too_big_with_vertex(self):
large_vertex = Vertex(500, "Large vertex 500")
large_subvertex = large_vertex.create_subvertex(
0, 499, get_resources_used_by_atoms(0, 499, []))#Subvertex(0, 499, "Large subvertex")
self.graph.add_vertex(large_vertex)
self.graph = PartitionableGraph("Graph",[large_vertex])
self.graph_mapper = GraphMapper()
self.graph_mapper.add_subvertices([large_subvertex], large_vertex)
self.bp = RadialPlacer(self.machine, self.graph)
self.subgraph = PartitionedGraph(subvertices=[large_subvertex])
with self.assertRaises(PacmanPlaceException):
placements = self.bp.place(self.subgraph, self.graph_mapper)
@unittest.skip("demonstrating skipping")
def test_try_to_place(self):
self.assertEqual(True, False, "Test not implemented yet")
@unittest.skip("demonstrating skipping")
def test_deal_with_constraint_placement_subvertices_dont_have_vertex(self):
self.bp = RadialPlacer(self.machine, self.graph)
self.subvertex1.add_constraint(PlacerChipAndCoreConstraint(8, 3, 2))
self.assertIsInstance(self.subvertex1.constraints[0], PlacerChipAndCoreConstraint)
self.subvertex2.add_constraint(PlacerChipAndCoreConstraint(3, 5, 7))
self.subvertex3.add_constraint(PlacerChipAndCoreConstraint(2, 4, 6))
self.subvertex4.add_constraint(PlacerChipAndCoreConstraint(6, 4, 16))
self.subvertices = list()
self.subvertices.append(self.subvertex1)
self.subvertices.append(self.subvertex2)
self.subvertices.append(self.subvertex3)
self.subvertices.append(self.subvertex4)
self.subedges = list()
self.subgraph = PartitionedGraph("Subgraph", self.subvertices,
self.subedges)
self.graph_mapper = GraphMapper()
self.graph_mapper.add_subvertices(self.subvertices)
placements = self.bp.place(self.subgraph, self.graph_mapper)
for placement in placements.placements:
print placement.subvertex.label, placement.subvertex.n_atoms, \
'x:', placement.x, 'y:', placement.y, 'p:', placement.p
@unittest.skip("demonstrating skipping")
def test_deal_with_constraint_placement_subvertices_have_vertices(self):
self.bp = RadialPlacer(self.machine, self.graph)
self.subvertex1.add_constraint(PlacerChipAndCoreConstraint(1, 5, 2))
self.assertIsInstance(self.subvertex1.constraints[0], PlacerChipAndCoreConstraint)
self.subvertex2.add_constraint(PlacerChipAndCoreConstraint(3, 5, 7))
self.subvertex3.add_constraint(PlacerChipAndCoreConstraint(2, 4, 6))
self.subvertex4.add_constraint(PlacerChipAndCoreConstraint(6, 7, 16))
self.subvertices = list()
self.subvertices.append(self.subvertex1)
self.subvertices.append(self.subvertex2)
self.subvertices.append(self.subvertex3)
self.subvertices.append(self.subvertex4)
self.subedges = list()
self.subgraph = PartitionedGraph("Subgraph", self.subvertices,
self.subedges)
self.graph_mapper = GraphMapper()
self.graph_mapper.add_subvertices(self.subvertices, self.vert1)
placements = self.bp.place(self.subgraph, self.graph_mapper)
for placement in placements.placements:
print placement.subvertex.label, placement.subvertex.n_atoms, \
'x:', placement.x, 'y:', placement.y, 'p:', placement.p
@unittest.skip("demonstrating skipping")
def test_unsupported_non_placer_constraint(self):
self.assertEqual(True, False, "Test not implemented yet")
@unittest.skip("demonstrating skipping")
def test_unsupported_placer_constraint(self):
self.assertEqual(True, False, "Test not implemented yet")
@unittest.skip("demonstrating skipping")
def test_unsupported_placer_constraints(self):
self.assertEqual(True, False, "Test not implemented yet")
@unittest.skip("demonstrating skipping")
def test_many_subvertices(self):
subvertices = list()
for i in range(20 * 17): #51 atoms per each processor on 20 chips
subvertices.append(PartitionedVertex(
0, 50, get_resources_used_by_atoms(0, 50, []),
"Subvertex " + str(i)))
self.graph = PartitionableGraph("Graph",subvertices)
self.graph_mapper = GraphMapper()
self.graph_mapper.add_subvertices(subvertices)
self.bp = RadialPlacer(self.machine, self.graph)
self.subgraph = PartitionedGraph(subvertices=subvertices)
placements = self.bp.place(self.subgraph, self.graph_mapper)
unorderdered_info = list()
for placement in placements.placements:
unorderdered_info.append(
(placement.subvertex.label.split(" ")[0],
"{:<4}".format(placement.subvertex.label.split(" ")[1]),
placement.subvertex.n_atoms, 'x: ',
placement.x, 'y: ', placement.y, 'p: ', placement.p))
from operator import itemgetter
sorted_info = sorted(unorderdered_info, key=itemgetter(4, 6, 8))
from pprint import pprint as pp
pp(sorted_info)
pp("{}".format("=" * 50))
sorted_info = sorted(unorderdered_info, key=lambda x: int(x[1]))
pp(sorted_info)
@unittest.skip("demonstrating skipping")
def test_too_many_subvertices(self):
subvertices = list()
for i in range(100 * 17): #50 atoms per each processor on 20 chips
subvertices.append(PartitionedVertex(
0, 50, get_resources_used_by_atoms(0, 50, []),
"Subvertex " + str(i)))
self.graph = PartitionableGraph("Graph",subvertices)
self.graph_mapper = GraphMapper()
self.graph_mapper.add_subvertices(subvertices)
self.bp = RadialPlacer(self.machine, self.graph)
self.subgraph = PartitionedGraph(subvertices=subvertices)
with self.assertRaises(PacmanPlaceException):
placements = self.bp.place(self.subgraph, self.graph_mapper)
@unittest.skip("demonstrating skipping")
def test_fill_machine(self):
subvertices = list()
for i in range(99 * 17): #50 atoms per each processor on 20 chips
subvertices.append(PartitionedVertex(
0, 50, get_resources_used_by_atoms(0, 50, []),
"Subvertex " + str(i)))
self.graph = PartitionableGraph("Graph",subvertices)
self.graph_mapper = GraphMapper()
self.graph_mapper.add_subvertices(subvertices)
self.bp = RadialPlacer(self.machine, self.graph)
self.subgraph = PartitionedGraph(subvertices=subvertices)
placements = self.bp.place(self.subgraph, self.graph_mapper)
def test_new_basic_placer(self):
self.bp = RadialPlacer(self.machine, self.graph)
self.assertEqual(self.bp._machine, self.machine)
self.assertEqual(self.bp._graph, self.graph)
def __init__(self):
"""
"""
RadialPlacer.__init__(self)
