def test_generate_c_snippet():
from loopy.target.c import CTarget
from pymbolic import var
I = var("I") # noqa
f = var("f")
df = var("df")
q_v = var("q_v")
eN = var("eN") # noqa
k = var("k")
u = var("u")
from functools import partial
l_sum = partial(lp.Reduction, "sum", allow_simultaneous=True)
Instr = lp.Assignment # noqa
knl = lp.make_kernel(
"{[I, k]: 0<=I<nSpace and 0<=k<nQuad}",
[
Instr(f[I], l_sum(k, q_v[k, I]*u)),
Instr(df[I], l_sum(k, q_v[k, I])),
],
[
lp.GlobalArg("q_v", np.float64, shape="nQuad, nSpace"),
lp.GlobalArg("f,df", np.float64, shape="nSpace"),
lp.ValueArg("u", np.float64),
"...",
],
target=CTarget(),
assumptions="nQuad>=1")
if 0: # enable to play with prefetching
# (prefetch currently requires constant sizes)
knl = lp.fix_parameters(knl, nQuad=5, nSpace=3)
knl = lp.add_prefetch(knl, "q_v", "k,I", default_tag=None)
knl = lp.split_iname(knl, "k", 4, inner_tag="unr", slabs=(0, 1))
knl = lp.prioritize_loops(knl, "I,k_outer,k_inner")
knl = lp.preprocess_kernel(knl)
knl = lp.get_one_scheduled_kernel(knl)
print(lp.generate_body(knl))
def test_generate_c_snippet():
from loopy.target.c import CTarget
from pymbolic import var
I = var("I") # noqa
f = var("f")
df = var("df")
q_v = var("q_v")
eN = var("eN") # noqa
k = var("k")
u = var("u")
from functools import partial
l_sum = partial(lp.Reduction, "sum", allow_simultaneous=True)
Instr = lp.Assignment # noqa
knl = lp.make_kernel(
"{[I, k]: 0<=I<nSpace and 0<=k<nQuad}",
[
Instr(f[I], l_sum(k, q_v[k, I]*u)),
Instr(df[I], l_sum(k, q_v[k, I])),
],
[
lp.GlobalArg("q_v", np.float64, shape="nQuad, nSpace"),
lp.GlobalArg("f,df", np.float64, shape="nSpace"),
lp.ValueArg("u", np.float64),
"...",
],
target=CTarget(),
assumptions="nQuad>=1")
if 0: # enable to play with prefetching
# (prefetch currently requires constant sizes)
knl = lp.fix_parameters(knl, nQuad=5, nSpace=3)
knl = lp.add_prefetch(knl, "q_v", "k,I", default_tag=None)
knl = lp.split_iname(knl, "k", 4, inner_tag="unr", slabs=(0, 1))
knl = lp.set_loop_priority(knl, "I,k_outer,k_inner")
knl = lp.preprocess_kernel(knl)
knl = lp.get_one_scheduled_kernel(knl)
print(lp.generate_body(knl))
def test_reduction_with_conditional():
# Test whether realization of a reduction inherits predicates
# of the original instruction. Tested with the CTarget, because
# the PyOpenCL target will hoist the conditional into the host
# code in this minimal example.
knl = lp.make_kernel(
"{ [i] : 0<=i<42 }",
"""
if n > 0
<>b = sum(i, a[i])
end
""",
[lp.GlobalArg("a", dtype=np.float32, shape=(42,)),
lp.GlobalArg("n", dtype=np.float32, shape=())],
target=lp.CTarget())
code = lp.generate_body(knl)
# Check that the if appears before the loop that realizes the reduction.
assert code.index("if") < code.index("for")
