def test_integration():
from ape.examples.basic_computation import inputs, outputs, input_shapes
from ape.examples.basic_computation import a, b, c, d, e
from ape.examples.basic_network import machines, A, B
from ape import timings
comm_dict = load_dict("ape/test/integration_test_comm_dict.dat")
comp_dict = load_dict("ape/test/integration_test_comp_dict.dat")
rootdir = '_test/'
os.system('mkdir -p %s' % rootdir)
sanitize(inputs, outputs)
known_shapes = shape_of_variables(inputs, outputs, input_shapes)
comptime = timings.make_runtime_function(comp_dict)
commtime = timings.make_commtime_function(comm_dict, known_shapes)
assert isinstance(commtime(a, A, B), (int, float))
assert commtime(a, A, B) == commtime(a, B, A)
elemwise = e.owner
dot = d.owner
assert comptime(elemwise, A) == 1
assert comptime(elemwise, B) == 100
assert comptime(dot, A) == 100
assert comptime(dot, B) == 1
graphs, scheds, rankfile, make = distribute(inputs, outputs, input_shapes,
machines, commtime, comptime,
50)
assert make == 18 # B-dot:1 + B-d-A:16 + A-+:1
# graphs == "{'A': ([b, a], [e]), 'B': ([a], [d])}"
ais, [ao] = graphs[A]
[bi], [bo] = graphs[B]
assert set(map(str, ais)) == set("ab")
assert ao.name == e.name
assert bi.name == a.name
assert bo.name == d.name
assert rankfile[A] != rankfile[B]
assert str(scheds['B'][0]) == str(dot)
assert map(str, scheds['A']) == map(str, (c.owner, e.owner))
def test_integration():
from ape.examples.basic_computation import inputs, outputs, input_shapes
from ape.examples.basic_computation import a,b,c,d,e
from ape.examples.basic_network import machines, A, B
from ape import timings
comm_dict = load_dict("ape/test/integration_test_comm_dict.dat")
comp_dict = load_dict("ape/test/integration_test_comp_dict.dat")
rootdir = '_test/'
os.system('mkdir -p %s'%rootdir)
sanitize(inputs, outputs)
known_shapes = shape_of_variables(inputs, outputs, input_shapes)
comptime = timings.make_runtime_function(comp_dict)
commtime = timings.make_commtime_function(comm_dict, known_shapes)
assert isinstance(commtime(a, A, B), (int, float))
assert commtime(a, A, B) == commtime(a, B, A)
elemwise = e.owner
dot = d.owner
assert comptime(elemwise, A) == 1
assert comptime(elemwise, B) == 100
assert comptime(dot, A) == 100
assert comptime(dot, B) == 1
graphs, scheds, rankfile, make = distribute(inputs, outputs, input_shapes,
machines, commtime, comptime, 50)
assert make == 18 # B-dot:1 + B-d-A:16 + A-+:1
# graphs == "{'A': ([b, a], [e]), 'B': ([a], [d])}"
ais, [ao] = graphs[A]
[bi], [bo] = graphs[B]
assert set(map(str, ais)) == set("ab")
assert ao.name == e.name
assert bi.name == a.name
assert bo.name == d.name
assert rankfile[A] != rankfile[B]
assert str(scheds['B'][0]) == str(dot)
assert map(str, scheds['A']) == map(str, (c.owner, e.owner))
sanitize(inputs, outputs)
# do timings if necessary
recompute = False
if recompute:
comps = timings.comptime_dict(inputs, outputs, input_shapes, 5,
machines, machine_groups)
comms = timings.commtime_dict(network)
save_dict(rootdir+'comps.dat', comps)
save_dict(rootdir+'comms.dat', comms)
else:
comps = load_dict(rootdir+'comps.dat')
comms = load_dict(rootdir+'comms.dat')
known_shapes = shape_of_variables(inputs, outputs, input_shapes)
comptime = timings.make_runtime_function(comps)
commtime = timings.make_commtime_function(comms, known_shapes)
# Break up graph
graphs, scheds, rankfile, make = distribute(inputs, outputs, input_shapes,
machines, commtime, comptime)
# Write to disk
write(graphs, scheds, rankfile, rootdir, known_shapes)
# Print out fgraphs as pdfs
fgraphs = {m: theano.FunctionGraph(*theano.gof.graph.clone(i, o))
for m, (i, o) in graphs.items()}
for m, g in fgraphs.items():
theano.printing.pydotprint(g, outfile="%s%s.pdf"%(rootdir,m),
format="pdf")
sanitize(inputs, outputs)
# do timings if necessary
recompute = False
if recompute:
comps = timings.comptime_dict(inputs, outputs, input_shapes, 5,
machines, machine_groups)
comms = timings.commtime_dict(network)
save_dict(rootdir + 'comps.dat', comps)
save_dict(rootdir + 'comms.dat', comms)
else:
comps = load_dict(rootdir + 'comps.dat')
comms = load_dict(rootdir + 'comms.dat')
known_shapes = shape_of_variables(inputs, outputs, input_shapes)
comptime = timings.make_runtime_function(comps)
commtime = timings.make_commtime_function(comms, known_shapes)
# Break up graph
graphs, scheds, rankfile, make = distribute(inputs, outputs, input_shapes,
machines, commtime, comptime)
# Write to disk
write(graphs, scheds, rankfile, rootdir, known_shapes)
# Print out fgraphs as pdfs
fgraphs = {
m: theano.FunctionGraph(*theano.gof.graph.clone(i, o))
for m, (i, o) in graphs.items()
}
for m, g in fgraphs.items():