def run(self, src, **kws):
n = 64
a = np.pi * np.arange(2 * n, dtype=cltypes.float) / n
b = np.e * np.arange(3 * n, dtype=cltypes.float) / n
c = np.zeros(4 * n, dtype=cltypes.float)
run_kernel(self.ctx, src, (n, ), *[Mem(x) for x in [c, a, b]])
return (c, a, b)
def run(self, src, **kws):
m = 64
n = 4 * m
a = np.arange(n, dtype=cltypes.int)
b = np.zeros_like(a)
run_kernel(self.ctx, src, (m, ), *[Mem(x) for x in [a, b]])
return (a, b)
def run(self, src, **kws):
n = 64
c = np.arange(3 * n, dtype=cltypes.float)
b = np.arange(n, dtype=cltypes.int)
a = np.zeros_like(b)
run_kernel(self.ctx, src, (n, ), *[Mem(x) for x in [a, b, c]])
return (a, b, c)
def run(self, src, **kws):
a = self.a.copy()
b = np.zeros_like(a)
run_kernel(self.ctx, src, (self.n,), *[Mem(x) for x in [a, b]])
return [a, b]
def run(self, src, **kws):
buf = [x for x in self.ibuf]
for i in range(27):
buf.append(np.zeros(self.N * self.n, dtype=self.UT))
run_kernel(self.ctx, src, (self.n, ), *[Mem(x) for x in buf])
return buf
def run(self, src, **kws):
n = 64
a = np.arange(n, dtype=cltypes.int) - n//2
b = np.arange(n, dtype=cltypes.int)
c = np.zeros(n, dtype=cltypes.float)
d = np.zeros(n, dtype=cltypes.int)
run_kernel(self.ctx, src, (n,), *[Mem(x) for x in [a, b, c, d]])
return (a, b, c, d)
def run(self, src, **kws):
n = 64
a = np.pi * np.arange(n, dtype=cltypes.float) / n
b = np.e * np.arange(n, dtype=cltypes.float) / n
c = np.sqrt(2) * np.arange(n, dtype=cltypes.float) / n
d = np.zeros(3 * n, dtype=cltypes.float)
run_kernel(self.ctx, src, (n, ), *[Mem(x) for x in [a, b, c, d]])
return (a, b, c, d)
def run(self, src, **kws):
a = self.a
b = self.b
c = np.zeros_like(self.c)
o = np.zeros_like(self.o)
run_kernel(self.ctx, src, (self.n, ), *[Mem(x) for x in [a, b, c, o]])
return [a, b, c, o]
def run(self, src, **kws):
n = 64
a = np.arange(n, dtype=cl.cltypes.int)
b = np.arange(n, dtype=cl.cltypes.float)
c = np.zeros_like(a)
d = np.zeros_like(b)
run_kernel(self.ctx, src, (n, ), *[Mem(x) for x in (a, b, c, d)])
assert np.allclose(a, c)
assert np.allclose(b, d)
return (a, b, c, d)
def run(self, src, **kws):
n = 64
buf = [
np.arange(n, dtype=cltypes.char),
np.arange(n, dtype=cltypes.short),
np.arange(n, dtype=cltypes.int),
np.arange(n, dtype=cltypes.long),
np.zeros(n*15, dtype=cltypes.uchar),
]
run_kernel(self.ctx, src, (n,), *[Mem(x) for x in buf])
return buf
def run(self, src, **kws):
n = 64
buf = [
np.arange(4*n, dtype=cltypes.int),
np.arange(4*n, dtype=cltypes.int) - 4*n,
(np.arange(4*n, dtype=cltypes.int) % 2) - 1,
np.zeros(4*n, dtype=cltypes.int),
np.zeros(4*n, dtype=cltypes.int),
]
run_kernel(self.ctx, src, (n,), *[Mem(x) for x in buf])
return buf
def run(self, src, **kws):
n = 256
a = (np.arange(n, dtype=cltypes.uint) % 13)
b = (np.arange(n, dtype=cltypes.uint) % 17)
c = (np.arange(n, dtype=cltypes.uint) % 5)
buf = [a, b, c]
for i in range(23):
buf.append(np.zeros(n, dtype=cltypes.int))
for i in range(18):
buf.append((np.arange(n, dtype=cltypes.int) % 7))
run_kernel(self.ctx, src, (n, ), *[Mem(x) for x in buf])
return buf
def run(self, src, **kws):
n = 256
a = np.pi * ((np.arange(n, dtype=cltypes.float) % 13) - 13 / 2)
b = np.pi * ((np.arange(n, dtype=cltypes.float) % 17) - 17 / 2)
c = (np.arange(n, dtype=cltypes.int) % 5) - 5 // 2
buf = [a, b, c]
for i in range(13):
buf.append(np.zeros(n, dtype=cltypes.float))
for i in range(4):
buf.append(np.e *
((np.arange(n, dtype=cltypes.float) % 7) - 7 / 2))
run_kernel(self.ctx, src, (n, ), *[Mem(x) for x in buf])
return buf
def run(self, src, **kws):
m = 64
n = 4 * m
a = (np.arange(n, dtype=cltypes.uint) % 51)
b = (np.arange(n, dtype=cltypes.uint) % 67)
c = (np.arange(n, dtype=cltypes.uint) % 19)
buf = [a, b, c]
for i in range(23):
buf.append(np.zeros(n, dtype=cltypes.uint))
for i in range(18):
buf.append((np.arange(n, dtype=cltypes.uint) % 29))
run_kernel(self.ctx, src, (m, ), *[Mem(x) for x in buf])
return buf
def run(self, src, **kws):
n = 64
a = np.arange(n, dtype=cltypes.uchar) % 2
b = (np.arange(n, dtype=cltypes.uchar) + 1) % 2
c = (np.arange(n, dtype=cltypes.uchar) // 2) % 2
buf = [a, b, c]
for i in range(23):
buf.append(np.zeros(n, dtype=cltypes.uchar))
for i in range(18):
buf.append(np.clip(np.arange(n, dtype=cltypes.uchar) % 3, 0, 1))
run_kernel(self.ctx, src, (n, ), *[Mem(x) for x in buf])
#buf = [b & 1 for b in buf]
return buf
def run(self, src, **kws):
n = 64
#b = np.arange(4*n, dtype=cltypes.float)/(2*n**0.5)
ibuf = [
np.arange(4 * n, dtype=cltypes.uint) - (4 * n) // 2,
np.arange(4 * n, dtype=cltypes.int) - (4 * n) // 2,
np.arange(4 * n, dtype=cltypes.int) - (4 * n) // 2,
np.arange(4 * n, dtype=cltypes.float) - (4 * n) // 2,
]
obuf = [
np.zeros(4 * n, dtype=cltypes.int),
np.zeros(4 * n, dtype=cltypes.uint),
np.zeros(4 * n, dtype=cltypes.float),
np.zeros(4 * n, dtype=cltypes.int),
]
run_kernel(self.ctx, src, (n, ), *[Mem(x) for x in ibuf + obuf])
return ibuf + obuf
def run(self, src, **kws):
m = 64
n = 4 * m
a = np.pi * ((np.arange(n, dtype=cltypes.float) % 51) - 51 // 2)
b = np.e * ((np.arange(n, dtype=cltypes.float) % 67) - 67 // 2)
c = (np.arange(n, dtype=cltypes.float) % 19) - 19 // 2
buf = [a, b, c]
for i in range(13):
buf.append(np.zeros(n, dtype=cltypes.float))
for i in range(4):
buf.append(
np.sqrt(2) *
((np.arange(n, dtype=cltypes.float) % 29) - 29 // 2))
run_kernel(self.ctx, src, (m, ), *[Mem(x) for x in buf])
return buf
def run(ctx, src):
w, h = 1024, 512
depth = 1024
img = np.zeros((h, w), dtype=cltypes.float)
time = run_kernel(
ctx,
src,
(w, h),
Mem(img),
*[cltypes.uint(k) for k in (w, h, depth)],
)
"""
for row in img[::16,::16]:
for z in row:
print("@" if z > 0.5 else ".", end="")
print()
"""
print("\t{:.3f} sec: {}".format(time, os.path.split(src)[1]))
return (img, )
def run(self, src, **kws):
n = 64
a = np.arange(n, dtype=cltypes.int)
b = np.zeros(n, dtype=cltypes.int)
run_kernel(self.ctx, src, (n, ), *[Mem(x) for x in [a, b]])
return (a, b)
def run(self, src, **kws):
b = np.zeros(self.n, dtype=cltypes.int)
a = np.zeros(self.n, dtype=cltypes.int)
run_kernel(self.ctx, src, (self.n,), *[Mem(x) for x in [a, b]])
return (a, b)
def run(self, src, **kws):
buffers = [b.copy() for b in self.input]
run_kernel(self.ctx, src, (self.n, ), *[Mem(x) for x in buffers])
return buffers
def run(self, src, **kws):
buf = self.ibuf + [np.zeros_like(x) for x in self.obuf]
run_kernel(self.ctx, src, (self.n, ), *[Mem(x) for x in buf])
return buf