devito/tests/test_fission.py at bc2281ce2637a094dc06a798d0facc4645f7e2c2 · devitocodes/devito · GitHub

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import numpy as np

from conftest import assert_structure
from devito import (Eq, Inc, Grid, Function, TimeFunction, SubDimension, SubDomain,
                    Operator, VectorTimeFunction, Buffer, curl, solve)


def test_issue_1725():

    class ToyPMLLeft(SubDomain):
        name = 'toypmlleft'

        def define(self, dimensions):
            x, y = dimensions
            return {x: x, y: ('left', 2)}

    class ToyPMLRight(SubDomain):
        name = 'toypmlright'

        def define(self, dimensions):
            x, y = dimensions
            return {x: x, y: ('right', 2)}

    subdomains = [ToyPMLLeft(), ToyPMLRight()]
    grid = Grid(shape=(20, 20), subdomains=subdomains)

    u = TimeFunction(name='u', grid=grid, time_order=2, space_order=2)

    eqns = [Eq(u.forward, solve(u.dt2 - u.laplace, u.forward), subdomain=sd)
            for sd in subdomains]

    op = Operator(eqns, opt='fission')

    # Note the `x` loop is fissioned, so now both loop nests can be collapsed
    # for maximum parallelism
    assert_structure(op, ['t,x,y', 't,x,y'], 't,x,y,x,y')


def test_nofission_as_unprofitable():
    """
    Test there's no fission if no increase in number of collapsable loops.
    """
    grid = Grid(shape=(20, 20))
    x, y = grid.dimensions
    t = grid.stepping_dim

    yl = SubDimension.left(name='yl', parent=y, thickness=4)
    yr = SubDimension.right(name='yr', parent=y, thickness=4)

    u = TimeFunction(name='u', grid=grid)

    eqns = [Eq(u.forward, u[t + 1, x, y + 1] + 1.).subs(y, yl),
            Eq(u.forward, u[t + 1, x, y - 1] + 1.).subs(y, yr)]

    op = Operator(eqns, opt='fission')

    assert_structure(op, ['t,x,y', 't,x,y'], 't,x,y,y')


def test_nofission_as_illegal():
    """
    Test there's no fission if dependencies would break.
    """
    grid = Grid(shape=(20, 20))
    x, y = grid.dimensions

    f = Function(name='f', grid=grid, dimensions=(y,), shape=(20,))
    u = TimeFunction(name='u', grid=grid)
    v = TimeFunction(name='v', grid=grid)

    eqns = [Inc(f, v + 1.),
            Eq(u.forward, f[y + 1] + 1.)]

    op = Operator(eqns, opt='fission')

    assert_structure(op, ['t,x,y', 't,x,y'], 't,x,y,y')


def test_fission_partial():
    """
    Test there's no fission if no increase in number of collapsable loops.
    """
    grid = Grid(shape=(20, 20))
    x, y = grid.dimensions
    t = grid.stepping_dim

    yl = SubDimension.left(name='yl', parent=y, thickness=4)
    yr = SubDimension.right(name='yr', parent=y, thickness=4)

    u = TimeFunction(name='u', grid=grid)

    eqns = [Eq(u.forward, u[t + 1, x, y + 1] + 1.).subs(y, yl),
            Eq(u.forward, u[t + 1, x, y - 1] + 1.).subs(y, yr),
            Eq(u.forward, u[t + 1, x, y] + 1.)]

    op = Operator(eqns, opt='fission')

    assert_structure(op, ['t,x,y', 't,x,y', 't,x,y'], 't,x,y,y,x,y')


def test_issue_1921():
    space_order = 4
    grid = Grid(shape=(8, 8), dtype=np.int32)

    f = Function(name='f', grid=grid, space_order=space_order)
    g = TimeFunction(name='g', grid=grid, space_order=space_order)
    g1 = TimeFunction(name='g', grid=grid, space_order=space_order)

    f.data[:] = np.arange(8*8).reshape((8, 8))

    t, x, y = g.dimensions
    ymin = y.symbolic_min

    eqns = []
    eqns.append(Eq(g.forward, f + g))
    for i in range(space_order//2):
        eqns.append(Eq(g[t+t.spacing, x, ymin-i], g[t+t.spacing, x, ymin+i]))

    op0 = Operator(eqns)
    op1 = Operator(eqns, opt='fission')

    assert_structure(op1, ['t,x,y', 't,x'], 't,x,y,x')

    op0.apply(time_m=1, time_M=5)
    op1.apply(time_m=1, time_M=5, g=g1)

    assert np.all(g.data == g1.data)


def test_fission_largest_cluster():
    grid = Grid(shape=(10, 10, 10))
    x, y, z = grid.dimensions

    A = VectorTimeFunction(name='A', grid=grid, save=Buffer(1), space_order=2,
                           time_order=1, staggered=(x, y, z))
    B = VectorTimeFunction(name='B', grid=grid, save=Buffer(1), space_order=2,
                           time_order=1, staggered=((y, z), (x, z), (x, y)))
    f = Function(name='f', grid=grid, space_order=2)

    eqs = [Eq(B.forward, solve(Eq(curl(A), -B.dt), B.forward)),
           Eq(A.forward, solve(Eq(curl(B.forward), f*A.dt), A.forward))]

    op = Operator(eqs, opt='fission')

    assert_structure(op, ['t,x,y,z', 't,x,y,z'], 't,x,y,z,x,y,z')