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__copyright__ = "Copyright (C) 2009 Andreas Kloeckner"
__license__ = """
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
"""
# avoid spurious: pytest.mark.parametrize is not callable
# pylint: disable=not-callable
import pyopencl as cl
import pyopencl.array as cl_array
from pyopencl.tools import ( # noqa
pytest_generate_tests_for_pyopencl as pytest_generate_tests,
ImmediateAllocator, DeferredAllocator)
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from pyopencl.characterize import get_pocl_version
# Are CL implementations crashy? You be the judge. :)
try:
import faulthandler # noqa
except ImportError:
pass
else:
faulthandler.enable()
def _xfail_if_pocl(plat, up_to_version, msg="unsupported by pocl"):
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if up_to_version is None or get_pocl_version(plat) <= up_to_version:
pytest.xfail(msg)
def _xfail_if_pocl_gpu(device, what):
if device.platform.vendor == "The pocl project" \
and device.type & cl.device_type.GPU:
pytest.xfail(f"POCL's {what} support don't work right on Nvidia GPUs, "
"at least the Titan V, as of pocl 1.6, 2021-01-20")
def test_get_info(ctx_factory):
ctx = ctx_factory()
device, = ctx.devices
platform = device.platform
device.persistent_unique_id
device.hashable_model_and_version_identifier
(cl.Buffer, cl.mem_info.OFFSET),
(cl.Program, cl.program_info.BINARIES),
(cl.Program, cl.program_info.BINARY_SIZES),
]
if ctx._get_cl_version() >= (1, 2) and cl.get_cl_header_version() >= (1, 2):
pocl_quirks.extend([
(cl.Program, cl.program_info.KERNEL_NAMES),
(cl.Program, cl.program_info.NUM_KERNELS),
])
(("NVIDIA Corporation", "NVIDIA CUDA",
"OpenCL 1.0 CUDA 3.0.1"),
[
(cl.Event, cl.event_info.COMMAND_QUEUE),
]),
(cl.Buffer, getattr(cl.mem_info, "USES_SVM_POINTER", None)),
(("The pocl project", "Portable Computing Language",
"OpenCL 1.2 pocl 0.8-pre"),
pocl_quirks),
(("The pocl project", "Portable Computing Language",
"OpenCL 1.2 pocl 0.8"),
pocl_quirks),
(("The pocl project", "Portable Computing Language",
"OpenCL 1.2 pocl 0.9-pre"),
pocl_quirks),
(("The pocl project", "Portable Computing Language",
"OpenCL 1.2 pocl 0.9"),
pocl_quirks),
(("The pocl project", "Portable Computing Language",
"OpenCL 1.2 pocl 0.10-pre"),
pocl_quirks),
(("The pocl project", "Portable Computing Language",
"OpenCL 1.2 pocl 0.10"),
pocl_quirks),
(("Apple", "Apple",
[
(cl.Program, cl.program_info.SOURCE),
]),
def find_quirk(quirk_list, cl_obj, info):
for (vendor, name, version), quirks in quirk_list:
if (
vendor == platform.vendor
and name == platform.name
and platform.version.startswith(version)):
for quirk_cls, quirk_info in quirks:
if (isinstance(cl_obj, quirk_cls)
and quirk_info == info):
return True
def do_test(cl_obj, info_cls, func=None, try_attr_form=True):
if func is None:
for info_name in dir(info_cls):
if not info_name.startswith("_") and info_name != "to_string":
info = getattr(info_cls, info_name)
if find_quirk(CRASH_QUIRKS, cl_obj, info):
print("not executing get_info", type(cl_obj), info_name)
print("(known crash quirk for %s)" % platform.name)
continue
msg = "failed get_info", type(cl_obj), info_name
if find_quirk(QUIRKS, cl_obj, info):
msg += ("(known quirk for %s)" % platform.name)
else:
failure_count[0] += 1
getattr(cl_obj, info_name.lower())
print("failed attr-based get_info", type(cl_obj), info_name)
if find_quirk(QUIRKS, cl_obj, info):
print("(known quirk for %s)" % platform.name)
failure_count[0] += 1
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do_test(platform, cl.platform_info)
do_test(device, cl.device_info)
do_test(ctx, cl.context_info)
props = 0
if (device.queue_properties
& cl.command_queue_properties.PROFILING_ENABLE):
profiling = True
props = cl.command_queue_properties.PROFILING_ENABLE
queue = cl.CommandQueue(ctx,
properties=props)
do_test(queue, cl.command_queue_info)
prg = cl.Program(ctx, """
__kernel void sum(__global float *a)
{ a[get_global_id(0)] *= 2; }
""").build()
do_test(prg, cl.program_info)
do_test(prg, cl.program_build_info,
lambda info: prg.get_build_info(device, info),
try_attr_form=False)
n = 2000
a_buf = cl.Buffer(ctx, 0, n*4)
do_test(a_buf, cl.mem_info)
kernel = prg.all_kernels()[0]
do_test(kernel, cl.kernel_info)
for info_name in dir(cl.kernel_work_group_info):
if not info_name.startswith("_") and info_name != "to_string":
try:
print("kernel_wg_info: %s" % info_name)
kernel.get_work_group_info(
getattr(cl.kernel_work_group_info, info_name),
device)
except cl.LogicError as err:
print("<error: %s>" % err)
evt = kernel(queue, (n,), None, a_buf)
do_test(evt, cl.event_info)
if profiling:
evt.wait()
do_test(evt, cl.profiling_info,
lambda info: evt.get_profiling_info(info),
if device.image_support and platform.vendor not in [
"Intel(R) Corporation",
"The pocl project",
]:
smp = cl.Sampler(ctx, False,
cl.addressing_mode.CLAMP,
cl.filter_mode.NEAREST)
do_test(smp, cl.sampler_info)
img_format = cl.get_supported_image_formats(
ctx, cl.mem_flags.READ_ONLY, cl.mem_object_type.IMAGE2D)[0]
img = cl.Image(ctx, cl.mem_flags.READ_ONLY, img_format, (128, 256))
assert img.shape == (128, 256)
img.depth
img.image.depth
do_test(img, cl.image_info,
lambda info: img.get_image_info(info))
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def test_int_ptr(ctx_factory):
def do_test(obj):
new_obj = type(obj).from_int_ptr(obj.int_ptr)
assert obj == new_obj
assert type(obj) is type(new_obj)
ctx = ctx_factory()
device, = ctx.devices
platform = device.platform
do_test(device)
do_test(platform)
do_test(ctx)
queue = cl.CommandQueue(ctx)
do_test(queue)
evt = cl.enqueue_marker(queue)
do_test(evt)
prg = cl.Program(ctx, """
__kernel void sum(__global float *a)
{ a[get_global_id(0)] *= 2; }
""").build()
do_test(prg)
do_test(prg.sum)
n = 2000
a_buf = cl.Buffer(ctx, 0, n*4)
do_test(a_buf)
# crashes on intel...
if device.image_support and platform.vendor not in [
"Intel(R) Corporation",
"The pocl project",
]:
smp = cl.Sampler(ctx, False,
cl.addressing_mode.CLAMP,
cl.filter_mode.NEAREST)
do_test(smp)
img_format = cl.get_supported_image_formats(
ctx, cl.mem_flags.READ_ONLY, cl.mem_object_type.IMAGE2D)[0]
img = cl.Image(ctx, cl.mem_flags.READ_ONLY, img_format, (128, 256))
do_test(img)
def test_invalid_kernel_names_cause_failures(ctx_factory):
ctx = ctx_factory()
device = ctx.devices[0]
prg = cl.Program(ctx, """
__kernel void sum(__global float *a)
{ a[get_global_id(0)] *= 2; }
""").build()
try:
prg.sam
raise RuntimeError("invalid kernel name did not cause error")
except AttributeError:
pass
except RuntimeError:
if "Intel" in device.platform.vendor:
from pytest import xfail
xfail("weird exception from OpenCL implementation "
"on invalid kernel name--are you using "
"Intel's implementation? (if so, known bug in Intel CL)")
def test_image_format_constructor():
# doesn't need image support to succeed
iform = cl.ImageFormat(cl.channel_order.RGBA, cl.channel_type.FLOAT)
assert iform.channel_order == cl.channel_order.RGBA
assert iform.channel_data_type == cl.channel_type.FLOAT
if not cl._PYPY:
assert not hasattr(iform, "__dict__")
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def test_device_topology_amd_constructor():
# doesn't need cl_amd_device_attribute_query support to succeed
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assert topol.bus == 3
assert topol.device == 4
assert topol.function == 5
if not cl._PYPY:
assert not hasattr(topol, "__dict__")
def test_nonempty_supported_image_formats(ctx_factory):
if device.image_support:
assert len(cl.get_supported_image_formats(
context, cl.mem_flags.READ_ONLY, cl.mem_object_type.IMAGE2D)) > 0
else:
skip("images not supported on %s" % device.name)
def test_that_python_args_fail(ctx_factory):
context = ctx_factory()
prg = cl.Program(context, """
__kernel void mult(__global float *a, float b, int c)
{ a[get_global_id(0)] *= (b+c); }
""").build()
a = np.random.rand(50000)
queue = cl.CommandQueue(context)
mf = cl.mem_flags
a_buf = cl.Buffer(context, mf.READ_WRITE | mf.COPY_HOST_PTR, hostbuf=a)
knl = cl.Kernel(prg, "mult")
try:
knl(queue, a.shape, None, a_buf, 2, 3)
raise AssertionError(
"PyOpenCL should not accept bare Python types as arguments")
except cl.LogicError:
pass
try:
prg.mult(queue, a.shape, None, a_buf, float(2), 3)
raise AssertionError(
"PyOpenCL should not accept bare Python types as arguments")
except cl.LogicError:
pass
prg.mult(queue, a.shape, None, a_buf, np.float32(2), np.int32(3))
cl.enqueue_copy(queue, a_buf, a_result).wait()
def test_image_2d(ctx_factory):
context = ctx_factory()
skip("images not supported on %s" % device)
if "Intel" in device.vendor and "31360.31426" in device.version:
skip("images crashy on %s" % device)
_xfail_if_pocl(device.platform, None, "pocl does not support CL_ADDRESS_CLAMP")
prg = cl.Program(context, """
__kernel void copy_image(
__global float *dest,
__read_only image2d_t src,
sampler_t samp,
int stride0)
{
int d0 = get_global_id(0);
int d1 = get_global_id(1);
/*
const sampler_t samp =
CLK_NORMALIZED_COORDS_FALSE
| CLK_ADDRESS_CLAMP
| CLK_FILTER_NEAREST;
*/
dest[d0*stride0 + d1] = read_imagef(src, samp, (float2)(d1, d0)).x;
}
""").build()
num_channels = 1
a = np.random.rand(1024, 512, num_channels).astype(np.float32)
if num_channels == 1:
a = a[:, :, 0]
queue = cl.CommandQueue(context)
try:
a_img = cl.image_from_array(context, a, num_channels)
except cl.RuntimeError:
import sys
exc = sys.exc_info()[1]
if exc.code == cl.status_code.IMAGE_FORMAT_NOT_SUPPORTED:
skip("required image format not supported on %s" % device.name)
else:
raise
a_dest = cl.Buffer(context, cl.mem_flags.READ_WRITE, a.nbytes)
samp = cl.Sampler(context, False,
cl.addressing_mode.CLAMP,
cl.filter_mode.NEAREST)
prg.copy_image(queue, a.shape, None, a_dest, a_img, samp,
np.int32(a.strides[0]/a.dtype.itemsize))
a_result = np.empty_like(a)
cl.enqueue_copy(queue, a_result, a_dest)
good = la.norm(a_result - a) == 0
if not good:
if queue.device.type & cl.device_type.CPU:
assert good, ("The image implementation on your CPU CL platform '%s' "
"returned bad values. This is bad, but common."
% queue.device.platform)
def test_image_3d(ctx_factory):
#test for image_from_array for 3d image of float2
context = ctx_factory()
device, = context.devices
if not device.image_support:
skip("images not supported on %s" % device)
if device.platform.vendor == "Intel(R) Corporation":
skip("images crashy on %s" % device)
_xfail_if_pocl(device.platform, None, "pocl does not support CL_ADDRESS_CLAMP")
prg = cl.Program(context, """
__kernel void copy_image_plane(
__global float2 *dest,
__read_only image3d_t src,
sampler_t samp,
int stride0,
int stride1)
{
int d0 = get_global_id(0);
int d1 = get_global_id(1);
int d2 = get_global_id(2);
/*
const sampler_t samp =
CLK_NORMALIZED_COORDS_FALSE
| CLK_ADDRESS_CLAMP
| CLK_FILTER_NEAREST;
*/
dest[d0*stride0 + d1*stride1 + d2] = read_imagef(
src, samp, (float4)(d2, d1, d0, 0)).xy;
shape = (3, 4, 2)
a = np.random.random(shape + (num_channels,)).astype(np.float32)
queue = cl.CommandQueue(context)
try:
a_img = cl.image_from_array(context, a, num_channels)
except cl.RuntimeError:
import sys
exc = sys.exc_info()[1]
if exc.code == cl.status_code.IMAGE_FORMAT_NOT_SUPPORTED:
skip("required image format not supported on %s" % device.name)
else:
raise
a_dest = cl.Buffer(context, cl.mem_flags.READ_WRITE, a.nbytes)
samp = cl.Sampler(context, False,
cl.addressing_mode.CLAMP,
cl.filter_mode.NEAREST)
prg.copy_image_plane(queue, shape, None, a_dest, a_img, samp,
np.int32(a.strides[0]/a.itemsize/num_channels),
np.int32(a.strides[1]/a.itemsize/num_channels),
)
a_result = np.empty_like(a)
cl.enqueue_copy(queue, a_result, a_dest)
good = la.norm(a_result - a) == 0
if not good:
if queue.device.type & cl.device_type.CPU:
assert good, ("The image implementation on your CPU CL platform '%s' "
"returned bad values. This is bad, but common."
% queue.device.platform)
def test_copy_buffer(ctx_factory):
context = ctx_factory()
queue = cl.CommandQueue(context)
mf = cl.mem_flags
a = np.random.rand(50000).astype(np.float32)
b = np.empty_like(a)
buf1 = cl.Buffer(context, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=a)
buf2 = cl.Buffer(context, mf.WRITE_ONLY, b.nbytes)
cl.enqueue_copy(queue, buf2, buf1).wait()
cl.enqueue_copy(queue, b, buf2).wait()
def test_mempool(ctx_factory):
from pyopencl.tools import MemoryPool, ImmediateAllocator
queue = cl.CommandQueue(context)
pool = MemoryPool(ImmediateAllocator(queue))
alloc_queue = []
alloc_queue.append(pool.allocate(1 << e))
if len(alloc_queue) > 10:
alloc_queue.pop(0)
del alloc_queue
def test_mempool_2(ctx_factory):
from pyopencl.tools import MemoryPool, ImmediateAllocator
context = ctx_factory()
queue = cl.CommandQueue(context)
pool = MemoryPool(ImmediateAllocator(queue))
for s in [randrange(1 << 31) >> randrange(32) for _ in range(2000)] + [2**30]:
bin_nr = pool.bin_number(s)
asize = pool.alloc_size(bin_nr)
assert pool.bin_number(asize) == bin_nr, s
def test_mempool_32bit_issues():
# https://github.com/inducer/pycuda/issues/282
from pyopencl._cl import _TestMemoryPool
pool = _TestMemoryPool()
for i in [30, 31, 32, 33, 34]:
for offs in range(-5, 5):
pool.allocate(2**i + offs)
@pytest.mark.parametrize("allocator_cls", [ImmediateAllocator, DeferredAllocator])
def test_allocator(ctx_factory, allocator_cls):
context = ctx_factory()
queue = cl.CommandQueue(context)
if allocator_cls is DeferredAllocator:
allocator = allocator_cls(context)
else:
allocator = allocator_cls(queue)
mem = allocator(15)
mem2 = allocator(0)
assert mem is not None
assert mem2 is None
def test_vector_args(ctx_factory):
context = ctx_factory()
queue = cl.CommandQueue(context)
prg = cl.Program(context, """
__kernel void set_vec(float4 x, __global float4 *dest)
{ dest[get_global_id(0)] = x; }
""").build()
x = cltypes.make_float4(1, 2, 3, 4)
dest = np.empty(50000, cltypes.float4)
mf = cl.mem_flags
dest_buf = cl.Buffer(context, mf.READ_WRITE | mf.COPY_HOST_PTR, hostbuf=dest)
prg.set_vec(queue, dest.shape, None, x, dest_buf)
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cl.enqueue_copy(queue, dest, dest_buf).wait()
def test_header_dep_handling(ctx_factory):
context = ctx_factory()
assert exists("empty-header.h") # if this fails, change dir to pyopencl/test
kernel_src = """
#include <empty-header.h>
kernel void zonk(global int *a)
{
*a = 5;
}
"""
cl.Program(context, kernel_src).build(["-I", os.getcwd()])
cl.Program(context, kernel_src).build(["-I", os.getcwd()])
def test_context_dep_memoize(ctx_factory):
context = ctx_factory()
from pyopencl.tools import context_dependent_memoize
@context_dependent_memoize
def do_something(ctx):
counter[0] += 1
do_something(context)
do_something(context)
assert counter[0] == 1
def test_can_build_and_run_binary(ctx_factory):
queue = cl.CommandQueue(ctx)
device = queue.device
program = cl.Program(ctx, """
__kernel void simple(__global float *in, __global float *out)
{
out[get_global_id(0)] = in[get_global_id(0)];
}""")
program.build()
binary = program.get_info(cl.program_info.BINARIES)[0]
foo = cl.Program(ctx, [device], [binary])
foo.build()
n = 256
a_dev = cl.clrandom.rand(queue, n, np.float32)
dest_dev = cl_array.empty_like(a_dev)
foo.simple(queue, (n,), (16,), a_dev.data, dest_dev.data)
def test_enqueue_barrier_marker(ctx_factory):
ctx = ctx_factory()
# Still relevant on pocl 1.0RC1.
ctx.devices[0].platform, (1, 0), "pocl crashes on enqueue_barrier")
queue = cl.CommandQueue(ctx)
if queue._get_cl_version() >= (1, 2) and cl.get_cl_header_version() <= (1, 1):
pytest.skip("CL impl version >= 1.2, header version <= 1.1--cannot be sure "
"that clEnqueueWaitForEvents is implemented")
cl.enqueue_barrier(queue)
evt1 = cl.enqueue_marker(queue)
evt2 = cl.enqueue_marker(queue, wait_for=[evt1])
cl.enqueue_barrier(queue, wait_for=[evt1, evt2])
def test_wait_for_events(ctx_factory):
ctx = ctx_factory()
queue = cl.CommandQueue(ctx)
evt1 = cl.enqueue_marker(queue)
evt2 = cl.enqueue_marker(queue)
cl.wait_for_events([evt1, evt2])
if (platform._get_cl_version() < (1, 2)
or cl.get_cl_header_version() < (1, 2)):
from pytest import skip
skip("clUnloadPlatformCompiler is only available in OpenCL 1.2")
_xfail_if_pocl(platform, (0, 13), "pocl does not support unloading compiler")
if platform.vendor == "Intel(R) Corporation":
from pytest import skip
skip("Intel proprietary driver does not support unloading compiler")
cl.unload_platform_compiler(platform)
def test_platform_get_devices(ctx_factory):
ctx = ctx_factory()
platform = ctx.devices[0].platform
if platform.name == "Apple":
pytest.xfail("Apple doesn't understand all the values we pass "
"for dev_type")
dev_types = [cl.device_type.ACCELERATOR, cl.device_type.ALL,
cl.device_type.CPU, cl.device_type.DEFAULT, cl.device_type.GPU]
if (platform._get_cl_version() >= (1, 2)
and cl.get_cl_header_version() >= (1, 2)
and not platform.name.lower().startswith("nvidia")):
print(dev_type)
devs = platform.get_devices(dev_type)
if dev_type in (cl.device_type.DEFAULT,
cl.device_type.ALL,
getattr(cl.device_type, "CUSTOM", None)):
def test_user_event(ctx_factory):
ctx = ctx_factory()
if (ctx._get_cl_version() < (1, 1)
and cl.get_cl_header_version() < (1, 1)):
from pytest import skip
skip("UserEvent is only available in OpenCL 1.1")
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# https://github.com/pocl/pocl/issues/201
_xfail_if_pocl(ctx.devices[0].platform, (0, 13),
"pocl's user events don't work right")
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def event_waiter1(e, key):
e.wait()
status[key] = True
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def event_waiter2(e, key):
cl.wait_for_events([e])
status[key] = True
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from threading import Thread
from time import sleep
evt = cl.UserEvent(ctx)
Thread(target=event_waiter1, args=(evt, 1)).start()
sleep(.05)
if status.get(1, False):
raise RuntimeError("UserEvent triggered before set_status")
evt.set_status(cl.command_execution_status.COMPLETE)
sleep(.05)
if not status.get(1, False):
raise RuntimeError("UserEvent.wait timeout")
assert evt.command_execution_status == cl.command_execution_status.COMPLETE
evt = cl.UserEvent(ctx)
Thread(target=event_waiter2, args=(evt, 2)).start()
sleep(.05)
if status.get(2, False):
raise RuntimeError("UserEvent triggered before set_status")
evt.set_status(cl.command_execution_status.COMPLETE)
sleep(.05)
if not status.get(2, False):
raise RuntimeError("cl.wait_for_events timeout on UserEvent")
assert evt.command_execution_status == cl.command_execution_status.COMPLETE
if cl._PYPY:
# FIXME
pytest.xfail("Buffer.get_host_array not yet working on pypy")
ctx = ctx_factory()
mf = cl.mem_flags
host_buf = np.random.rand(25).astype(np.float32)
buf = cl.Buffer(ctx, mf.READ_WRITE | mf.USE_HOST_PTR, hostbuf=host_buf)
host_buf2 = buf.get_host_array(25, np.float32)
assert (host_buf == host_buf2).all()
assert (host_buf.__array_interface__["data"][0]
== host_buf.__array_interface__["data"][0])
buf = cl.Buffer(ctx, mf.READ_WRITE | mf.ALLOC_HOST_PTR, size=100)
try:
host_buf2 = buf.get_host_array(25, np.float32)
raise AssertionError("MemoryObject.get_host_array should not accept buffer "
"without USE_HOST_PTR")
except cl.LogicError:
pass
host_buf = np.random.rand(25).astype(np.float32)
buf = cl.Buffer(ctx, mf.READ_WRITE | mf.COPY_HOST_PTR, hostbuf=host_buf)
try:
host_buf2 = buf.get_host_array(25, np.float32)
raise AssertionError("MemoryObject.get_host_array should not accept buffer "
"without USE_HOST_PTR")
except cl.LogicError:
pass
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def test_program_valued_get_info(ctx_factory):
ctx = ctx_factory()
prg = cl.Program(ctx, """
__kernel void
reverse(__global float *out)
{
out[get_global_id(0)] *= 2;
}
""").build()
knl = prg.reverse
assert knl.program == prg
knl.program.binaries[0]
def test_event_set_callback(ctx_factory):
Andreas Klöckner
committed
import sys
if sys.platform.startswith("win"):
pytest.xfail("Event.set_callback not present on Windows")
ctx = ctx_factory()
queue = cl.CommandQueue(ctx)
_xfail_if_pocl_gpu(queue.device, "event callbacks")
pytest.skip("OpenCL 1.1 or newer required for set_callback")
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a_np = np.random.rand(50000).astype(np.float32)
b_np = np.random.rand(50000).astype(np.float32)
got_called = []
def cb(status):
got_called.append(status)
mf = cl.mem_flags
a_g = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=a_np)
b_g = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=b_np)
prg = cl.Program(ctx, """
__kernel void sum(__global const float *a_g, __global const float *b_g,
__global float *res_g) {
int gid = get_global_id(0);
res_g[gid] = a_g[gid] + b_g[gid];
}
""").build()
res_g = cl.Buffer(ctx, mf.WRITE_ONLY, a_np.nbytes)
uevt = cl.UserEvent(ctx)
evt = prg.sum(queue, a_np.shape, None, a_g, b_g, res_g, wait_for=[uevt])
evt.set_callback(cl.command_execution_status.COMPLETE, cb)
uevt.set_status(cl.command_execution_status.COMPLETE)
queue.finish()
while not got_called:
from time import sleep
sleep(0.01)
# wait up to five seconds (?!)
Andreas Klöckner
committed
def test_global_offset(ctx_factory):
context = ctx_factory()
queue = cl.CommandQueue(context)
_xfail_if_pocl_gpu(queue.device, "global offset")
Andreas Klöckner
committed
prg = cl.Program(context, """
__kernel void mult(__global float *a)
{ a[get_global_id(0)] *= 2; }
""").build()
n = 50
a = np.random.rand(n).astype(np.float32)
queue = cl.CommandQueue(context)
mf = cl.mem_flags
a_buf = cl.Buffer(context, mf.READ_WRITE | mf.COPY_HOST_PTR, hostbuf=a)
step = 10
for ofs in range(0, n, step):
prg.mult(queue, (step,), None, a_buf, global_offset=(ofs,))
a_2 = np.empty_like(a)
cl.enqueue_copy(queue, a_2, a_buf)
assert (a_2 == 2*a).all()
def test_sub_buffers(ctx_factory):
ctx = ctx_factory()
if (ctx._get_cl_version() < (1, 1)
or cl.get_cl_header_version() < (1, 1)):
from pytest import skip
skip("sub-buffers are only available in OpenCL 1.1")
alignment = ctx.devices[0].mem_base_addr_align
queue = cl.CommandQueue(ctx)
n = 30000
a = (np.random.rand(n) * 100).astype(np.uint8)
mf = cl.mem_flags
a_buf = cl.Buffer(ctx, mf.READ_WRITE | mf.COPY_HOST_PTR, hostbuf=a)
start = (5000 // alignment) * alignment
stop = start + 20 * alignment
a_sub_ref = a[start:stop]
a_sub = np.empty_like(a_sub_ref)
cl.enqueue_copy(queue, a_sub, a_buf[start:stop])
assert np.array_equal(a_sub, a_sub_ref)
def test_spirv(ctx_factory):
ctx = ctx_factory()
queue = cl.CommandQueue(ctx)
if (ctx._get_cl_version() < (2, 1)
or cl.get_cl_header_version() < (2, 1)):
pytest.skip("SPIR-V program creation only available "
"in OpenCL 2.1 and higher")
if not queue.device.il_version:
pytest.skip("SPIR-V program creation not supported by device")
n = 50000
a_dev = cl.clrandom.rand(queue, n, np.float32)
b_dev = cl.clrandom.rand(queue, n, np.float32)
dest_dev = cl_array.empty_like(a_dev)
with open("add-vectors-%d.spv" % queue.device.address_bits, "rb") as spv_file:
prg = cl.Program(ctx, spv).build()
if (not prg.all_kernels()
and queue.device.platform.name.startswith("AMD Accelerated")):
pytest.skip("SPIR-V program creation on AMD did not result in any kernels")
prg.sum(queue, a_dev.shape, None, a_dev.data, b_dev.data, dest_dev.data)
assert la.norm((dest_dev - (a_dev+b_dev)).get()) < 1e-7