def runTest(self):
nx, ny, nz, str_f, pt0, pt1 = self.args
slidx = common.slice_index_two_points(pt0, pt1)
str_fs = common.convert_to_tuple(str_f)
# instance
gpu_devices = common_gpu.gpu_device_list(print_info=False)
context = cl.Context(gpu_devices)
device = gpu_devices[0]
fields = Fields(context, device, nx, ny, nz, '')
getf = GetFields(fields, str_f, pt0, pt1)
# host allocations
eh_dict = {}
for sf in str_fs:
eh_dict[sf] = np.random.rand(*fields.ns).astype(fields.dtype)
cl.enqueue_copy(fields.queue, fields.get_buf(sf), eh_dict[sf])
# verify
getf.get_event().wait()
for str_f in str_fs:
original = eh_dict[str_f][slidx]
copy = getf.get_fields(str_f)
self.assertEqual(
np.abs(eh_dict[str_f][slidx] - getf.get_fields(str_f)).max(),
0, self.args)
def runTest(self):
nx, ny, nz, str_f, pt0, pt1 = self.args
slidx = common.slice_index_two_points(pt0, pt1)
str_fs = common.convert_to_tuple(str_f)
# instance
gpu_devices = common_gpu.gpu_device_list(print_info=False)
context = cl.Context(gpu_devices)
device = gpu_devices[0]
fields = Fields(context, device, nx, ny, nz, '')
getf = GetFields(fields, str_f, pt0, pt1)
# host allocations
eh_dict = {}
for sf in str_fs:
eh_dict[sf] = np.random.rand(*fields.ns).astype(fields.dtype)
cl.enqueue_copy(fields.queue, fields.get_buf(sf), eh_dict[sf])
# verify
getf.get_event().wait()
for str_f in str_fs:
original = eh_dict[str_f][slidx]
copy = getf.get_fields(str_f)
self.assertEqual(np.abs(eh_dict[str_f][slidx] - getf.get_fields(str_f)).max(), 0, self.args)
def runTest(self):
if len(self.args) == 6:
nx, ny, nz, str_f, pt0, pt1 = self.args
src_is_array = False
elif len(self.args) == 7:
nx, ny, nz, str_f, pt0, pt1, src_is_array = self.args
slidx = common.slice_index_two_points(pt0, pt1)
str_fs = common.convert_to_tuple(str_f)
# instance
gpu_devices = common_gpu.gpu_device_list(print_info=False)
context = cl.Context(gpu_devices)
device = gpu_devices[0]
fields = Fields(context, device, nx, ny, nz, '')
setf = SetFields(fields, str_f, pt0, pt1, src_is_array)
# generate random source
if src_is_array:
shape = list(common.shape_two_points(pt0, pt1))
shape[0] *= len(str_fs)
value = np.random.rand(*shape).astype(fields.dtype)
split_value = np.split(value, len(str_fs))
split_value_dict = dict(zip(str_fs, split_value))
else:
value = np.random.ranf()
# host allocations
eh_dict = {}
for sf in str_fs:
eh_dict[sf] = np.zeros(fields.ns, dtype=fields.dtype)
gpu_eh = np.zeros(fields.ns, dtype=fields.dtype)
# verify
for str_f in str_fs:
if src_is_array:
eh_dict[str_f][slidx] = split_value_dict[str_f]
else:
eh_dict[str_f][slidx] = value
setf.set_fields(value)
for str_f in str_fs:
cl.enqueue_copy(fields.queue, gpu_eh, fields.get_buf(str_f))
self.assertEqual(
np.abs(eh_dict[str_f] - gpu_eh).max(), 0, self.args)
def runTest(self):
if len(self.args) == 6:
nx, ny, nz, str_f, pt0, pt1 = self.args
src_is_array = False
elif len(self.args) == 7:
nx, ny, nz, str_f, pt0, pt1, src_is_array = self.args
slidx = common.slice_index_two_points(pt0, pt1)
str_fs = common.convert_to_tuple(str_f)
# instance
gpu_devices = common_gpu.gpu_device_list(print_info=False)
context = cl.Context(gpu_devices)
device = gpu_devices[0]
fields = Fields(context, device, nx, ny, nz, '')
setf = SetFields(fields, str_f, pt0, pt1, src_is_array)
# generate random source
if src_is_array:
shape = list( common.shape_two_points(pt0, pt1) )
shape[0] *= len(str_fs)
value = np.random.rand(*shape).astype(fields.dtype)
split_value = np.split(value, len(str_fs))
split_value_dict = dict( zip(str_fs, split_value) )
else:
value = np.random.ranf()
# host allocations
eh_dict = {}
for sf in str_fs:
eh_dict[sf] = np.zeros(fields.ns, dtype=fields.dtype)
gpu_eh = np.zeros(fields.ns, dtype=fields.dtype)
# verify
for str_f in str_fs:
if src_is_array:
eh_dict[str_f][slidx] = split_value_dict[str_f]
else:
eh_dict[str_f][slidx] = value
setf.set_fields(value)
for str_f in str_fs:
cl.enqueue_copy(fields.queue, gpu_eh, fields.get_buf(str_f))
self.assertEqual(np.abs(eh_dict[str_f] - gpu_eh).max(), 0, self.args)