def __init__(self, shape, dtype=float, memptr=None, strides=None):
self._shape = shape = tuple(shape)
self._dtype = dtype = numpy.dtype(dtype)
size = 1
for s in shape:
size *= s
self._size = size
if memptr is None:
self.data = cuda.alloc(size * dtype.itemsize)
else:
self.data = memptr
if strides is None:
self._strides = internal.get_contiguous_strides(
shape, dtype.itemsize)
self._c_contiguous = 1
self._f_contiguous = int(not size
or len(shape) - shape.count(1) <= 1)
else:
self._strides = strides
self._c_contiguous = -1
self._f_contiguous = -1
self.base = None
def __init__(self, shape, dtype=float, memptr=None, strides=None):
self._shape = shape = _get_size(shape)
self._dtype = dtype = numpy.dtype(dtype)
size = 1
for s in shape:
size *= s
self._size = size
if memptr is None:
self.data = cuda.alloc(size * dtype.itemsize)
else:
self.data = memptr
if strides is None:
self._strides = internal.get_contiguous_strides(
shape, dtype.itemsize)
self._c_contiguous = 1
self._f_contiguous = int(
not size or len(shape) - shape.count(1) <= 1)
else:
self._strides = strides
self._c_contiguous = -1
self._f_contiguous = -1
self.base = None
def __init__(self, shape, dtype=float, memptr=None, strides=None):
self._shape = tuple(shape)
self._dtype = numpy.dtype(dtype)
nbytes = self.nbytes
if memptr is None:
self.data = cuda.alloc(nbytes)
else:
self.data = memptr
if strides is None:
self._strides = internal.get_contiguous_strides(
self._shape, self.itemsize)
self._flags = flags.C_CONTIGUOUS | flags.OWNDATA
if numpy.sum(dim != 1 for dim in shape) <= 1 or nbytes == 0:
self._flags |= flags.F_CONTIGUOUS
else:
self._strides = strides
self._flags = flags.OWNDATA
self._mark_dirty()
self.base = None
def __init__(self, shape, dtype=float, memptr=None, strides=None):
self._shape = tuple(shape)
self._dtype = numpy.dtype(dtype)
nbytes = self.nbytes
if memptr is None:
self.data = cuda.alloc(nbytes)
else:
self.data = memptr
if strides is None:
self._strides = internal.get_contiguous_strides(
self._shape, self.itemsize)
self._flags = flags.C_CONTIGUOUS | flags.OWNDATA
if numpy.sum(dim != 1 for dim in shape) <= 1 or nbytes == 0:
self._flags |= flags.F_CONTIGUOUS
else:
self._strides = strides
self._flags = flags.OWNDATA
self._mark_dirty()
self.base = None
