def _make_strides(itemsize, shape, order):
if order == "F":
return _f_contiguous_strides(itemsize, shape)
elif order == "C":
return _c_contiguous_strides(itemsize, shape)
else:
raise ValueError("invalid order: %s" % order)
def _make_strides(itemsize, shape, order):
if order == "F":
return _f_contiguous_strides(itemsize, shape)
elif order == "C":
return _c_contiguous_strides(itemsize, shape)
else:
raise ValueError("invalid order: %s" % order)
def __init__(self,
cqa,
shape,
dtype,
order="C",
allocator=None,
data=None,
queue=None,
strides=None):
# {{{ backward compatibility
from warnings import warn
if queue is not None:
warn(
"Passing the queue to the array through anything but the "
"first argument of the Array constructor is deprecated. "
"This will be continue to be accepted throughout the 2013.[0-6] "
"versions of PyOpenCL.", DeprecationWarning, 2)
if isinstance(cqa, cl.CommandQueue):
if queue is not None:
raise TypeError("can't specify queue in 'cqa' and "
"'queue' arguments")
queue = cqa
elif isinstance(cqa, cl.Context):
warn(
"Passing a context for the 'cqa' parameter is deprecated. "
"This usage will be continue to be accepted throughout the 2013.[0-6] "
"versions of PyOpenCL.", DeprecationWarning, 2)
if queue is not None:
raise TypeError("may not pass a context and a queue "
"(just pass the queue)")
if allocator is not None:
raise TypeError("may not pass a context and an allocator "
"(just pass the queue)")
else:
# cqa is assumed to be an allocator
warn(
"Passing an allocator for the 'cqa' parameter is deprecated. "
"This usage will be continue to be accepted throughout the 2013.[0-6] "
"versions of PyOpenCL.", DeprecationWarning, 2)
if allocator is not None:
raise TypeError("can't specify allocator in 'cqa' and "
"'allocator' arguments")
allocator = cqa
if queue is None:
warn(
"Queue-less arrays are deprecated. "
"They will continue to work throughout the 2013.[0-6] "
"versions of PyOpenCL.", DeprecationWarning, 2)
# }}}
# invariant here: allocator, queue set
# {{{ determine shape and strides
dtype = np.dtype(dtype)
try:
s = 1
for dim in shape:
s *= dim
except TypeError:
import sys
if sys.version_info >= (3, ):
admissible_types = (int, np.integer)
else:
admissible_types = (int, long, np.integer)
if not isinstance(shape, admissible_types):
raise TypeError("shape must either be iterable or "
"castable to an integer")
s = shape
shape = (shape, )
if isinstance(s, np.integer):
# bombs if s is a Python integer
s = np.asscalar(s)
if strides is None:
if order == "F":
strides = _f_contiguous_strides(dtype.itemsize, shape)
elif order == "C":
strides = _c_contiguous_strides(dtype.itemsize, shape)
else:
raise ValueError("invalid order: %s" % order)
else:
# FIXME: We should possibly perform some plausibility
# checking on 'strides' here.
strides = tuple(strides)
# }}}
self.queue = queue
self.shape = shape
self.dtype = dtype
self.strides = strides
self.size = s
alloc_nbytes = self.nbytes = self.dtype.itemsize * self.size
self.allocator = allocator
if data is None:
if not alloc_nbytes:
# Work around CL not allowing zero-sized buffers.
alloc_nbytes = 1
if allocator is None:
# FIXME remove me when queues become required
if queue is not None:
context = queue.context
self.data = cl.Buffer(context, cl.mem_flags.READ_WRITE,
alloc_nbytes)
else:
self.data = self.allocator(alloc_nbytes)
else:
self.data = data
def __init__(self, cqa, shape, dtype, order="C", allocator=None,
base=None, data=None, queue=None, strides=None):
# {{{ backward compatibility for pre-cqa days
if isinstance(cqa, cl.CommandQueue):
if queue is not None:
raise TypeError("can't specify queue in 'cqa' and "
"'queue' arguments")
queue = cqa
if allocator is None:
context = queue.context
allocator = DefaultAllocator(context)
elif isinstance(cqa, cl.Context):
if queue is not None:
_should_be_cqa("queue")
if allocator is not None:
_should_be_cqa("allocator")
else:
allocator = DefaultAllocator(cqa)
else:
# cqa is assumed to be an allocator
if allocator is not None:
raise TypeError("can't specify allocator in 'cqa' and "
"'allocator' arguments")
allocator = cqa
# }}}
# invariant here: allocator, queue set
# {{{ determine shape and strides
dtype = np.dtype(dtype)
try:
s = 1
for dim in shape:
s *= dim
except TypeError:
if not isinstance(shape, int):
raise TypeError("shape must either be iterable or "
"castable to an integer")
s = shape
shape = (shape,)
if strides is None:
if order == "F":
strides = _f_contiguous_strides(
dtype.itemsize, shape)
elif order == "C":
strides = _c_contiguous_strides(
dtype.itemsize, shape)
else:
raise ValueError("invalid order: %s" % order)
else:
# FIXME: We should possibly perform some plausibility
# checking on 'strides' here.
strides = tuple(strides)
# }}}
self.queue = queue
self.shape = shape
self.dtype = dtype
self.strides = strides
self.mem_size = self.size = s
self.nbytes = self.dtype.itemsize * self.size
self.allocator = allocator
if data is None:
if self.size:
self.data = self.allocator(self.size * self.dtype.itemsize)
else:
self.data = None
if base is not None:
raise ValueError("If data is specified, base must be None.")
else:
self.data = data
self.base = base
self.context = self.data.context
def __init__(self, cqa, shape, dtype, order="C", allocator=None,
data=None, queue=None, strides=None):
# {{{ backward compatibility
from warnings import warn
if queue is not None:
warn("Passing the queue to the array through anything but the "
"first argument of the Array constructor is deprecated. "
"This will be continue to be accepted throughout the 2013.[0-6] "
"versions of PyOpenCL.",
DeprecationWarning, 2)
if isinstance(cqa, cl.CommandQueue):
if queue is not None:
raise TypeError("can't specify queue in 'cqa' and "
"'queue' arguments")
queue = cqa
elif isinstance(cqa, cl.Context):
warn("Passing a context for the 'cqa' parameter is deprecated. "
"This usage will be continue to be accepted throughout the 2013.[0-6] "
"versions of PyOpenCL.",
DeprecationWarning, 2)
if queue is not None:
raise TypeError("may not pass a context and a queue "
"(just pass the queue)")
if allocator is not None:
raise TypeError("may not pass a context and an allocator "
"(just pass the queue)")
else:
# cqa is assumed to be an allocator
warn("Passing an allocator for the 'cqa' parameter is deprecated. "
"This usage will be continue to be accepted throughout the 2013.[0-6] "
"versions of PyOpenCL.",
DeprecationWarning, 2)
if allocator is not None:
raise TypeError("can't specify allocator in 'cqa' and "
"'allocator' arguments")
allocator = cqa
if queue is None:
warn("Queue-less arrays are deprecated. "
"They will continue to work throughout the 2013.[0-6] "
"versions of PyOpenCL.",
DeprecationWarning, 2)
# }}}
# invariant here: allocator, queue set
# {{{ determine shape and strides
dtype = np.dtype(dtype)
try:
s = 1
for dim in shape:
s *= dim
except TypeError:
import sys
if sys.version_info >= (3,):
admissible_types = (int, np.integer)
else:
admissible_types = (int, long, np.integer)
if not isinstance(shape, admissible_types):
raise TypeError("shape must either be iterable or "
"castable to an integer")
s = shape
shape = (shape,)
if isinstance(s, np.integer):
# bombs if s is a Python integer
s = np.asscalar(s)
if strides is None:
if order == "F":
strides = _f_contiguous_strides(
dtype.itemsize, shape)
elif order == "C":
strides = _c_contiguous_strides(
dtype.itemsize, shape)
else:
raise ValueError("invalid order: %s" % order)
else:
# FIXME: We should possibly perform some plausibility
# checking on 'strides' here.
strides = tuple(strides)
# }}}
self.queue = queue
self.shape = shape
self.dtype = dtype
self.strides = strides
self.size = s
alloc_nbytes = self.nbytes = self.dtype.itemsize * self.size
self.allocator = allocator
if data is None:
if not alloc_nbytes:
# Work around CL not allowing zero-sized buffers.
alloc_nbytes = 1
if allocator is None:
# FIXME remove me when queues become required
if queue is not None:
context = queue.context
self.data = cl.Buffer(context, cl.mem_flags.READ_WRITE, alloc_nbytes)
else:
self.data = self.allocator(alloc_nbytes)
else:
self.data = data
def __init__(self,
cqa,
shape,
dtype,
order="C",
allocator=None,
base=None,
data=None,
queue=None,
strides=None):
# {{{ backward compatibility for pre-cqa days
if isinstance(cqa, cl.CommandQueue):
if queue is not None:
raise TypeError("can't specify queue in 'cqa' and "
"'queue' arguments")
queue = cqa
if allocator is None:
context = queue.context
allocator = DefaultAllocator(context)
elif isinstance(cqa, cl.Context):
if queue is not None:
_should_be_cqa("queue")
if allocator is not None:
_should_be_cqa("allocator")
else:
allocator = DefaultAllocator(cqa)
else:
# cqa is assumed to be an allocator
if allocator is not None:
raise TypeError("can't specify allocator in 'cqa' and "
"'allocator' arguments")
allocator = cqa
# }}}
# invariant here: allocator, queue set
# {{{ determine shape and strides
dtype = np.dtype(dtype)
try:
s = 1
for dim in shape:
s *= dim
except TypeError:
import sys
if sys.version_info >= (3, ):
admissible_types = (int, np.integer)
else:
admissible_types = (int, long, np.integer)
if not isinstance(shape, admissible_types):
raise TypeError("shape must either be iterable or "
"castable to an integer")
s = shape
shape = (shape, )
if strides is None:
if order == "F":
strides = _f_contiguous_strides(dtype.itemsize, shape)
elif order == "C":
strides = _c_contiguous_strides(dtype.itemsize, shape)
else:
raise ValueError("invalid order: %s" % order)
else:
# FIXME: We should possibly perform some plausibility
# checking on 'strides' here.
strides = tuple(strides)
# }}}
self.queue = queue
self.shape = shape
self.dtype = dtype
self.strides = strides
self.mem_size = self.size = s
self.nbytes = self.dtype.itemsize * self.size
self.allocator = allocator
if data is None:
if self.size:
self.data = self.allocator(self.size * self.dtype.itemsize)
else:
self.data = None
else:
self.data = data
self.base = base