Beispiel #1
0
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))
Beispiel #2
0
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))
Beispiel #3
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    # 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")
Beispiel #4
0
    # 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,