def testprog12(A: dace.float64[10]):
i = 2
with dace.tasklet(dace.Language.CPP):
ii << i
a << A(1)[:]
aout >> A(2)[:]
'''
def test_simple():
A = np.random.rand(4)
B = np.random.rand(4)
with dace.tasklet():
a << A[0]
b >> B[1]
b = a
assert np.allclose(B[1], A[0])
def nested_offset_access(inp: dc.float64[6, 5, 5]):
out = np.zeros((5, 5, 5), np.float64)
for i, j in dc.map[0:5, 0:5]:
out[i, j, 0] = 0.25 * (inp[i + 1, j, 1] + inp[i, j, 1])
for k in range(1, 4):
with dc.tasklet():
in1 << inp[i + 1, j, k + 1]
in2 << inp[i, j, k + 1]
out1 >> out[i, j, k]
out1 = 0.25 * (in1 + in2)
return out
def test_locals():
a = 1
b = 'aa'
c = 3
A = np.random.rand(4)
B = np.random.rand(4)
with dace.tasklet():
a << A[0]
b >> B[1]
b = a + c
assert np.allclose(B[1], A[0] + c)
def testprog3(A: dace.float32[20, 20]):
i = 0
j = 0
k = dace.ndarray([1], dtype=dace.int32)
with dace.tasklet(dace.Language.CPP):
jj << j
"""
ii = jj + 1;
"""
ii >> i
with dace.tasklet(dace.Language.CPP):
jin << j
"""
int something = (int)jin;
jout = something + 1;
"""
jout >> j
with dace.tasklet(dace.Language.CPP):
"""
kout[0] = 0;
"""
kout >> k
def DFT(X, Y):
# Generate DFT matrix
dft_mat = dace.define_local([N, N], dtype=dace.complex128)
@dace.map(_[0:N, 0:N])
def dft_mat_gen(i, j):
omega >> dft_mat[i, j]
omega = exp(-dace.complex128(0, 2 * 3.14159265359 * i * j) /
dace.complex128(N))
with dace.tasklet(language=dace.Language.CPP,
code_global='#include <mkl.h>'):
x << X
omega << dft_mat
y >> Y
'''
