def asfortranarray(shp, dtype, offseted_outer, offseted_inner, sliced, order):
cpu, gpu = gen_gpuarray(shp, dtype, offseted_outer, offseted_inner, sliced,
order, ctx=ctx)
a = numpy.asfortranarray(cpu)
b = pygpu.asfortranarray(gpu)
# numpy upcast with a view to 1d scalar.
if gpu.flags['F_CONTIGUOUS']:
assert b.gpudata == gpu.gpudata
elif (sliced != 1 or shp == () or (offseted_outer and len(shp) > 1) or
(order != 'f' and len(shp) > 1)):
assert b is not gpu
else:
assert b is gpu
assert a.shape == b.shape
assert a.dtype == b.dtype
assert a.flags.f_contiguous
assert b.flags['F_CONTIGUOUS']
if not any([s == 1 for s in cpu.shape]):
# Older version then Numpy 1.10 do not set c/f contiguous more
# frequently as we do. This cause extra copy.
assert a.strides == b.strides
assert numpy.allclose(cpu, a)
assert numpy.allclose(cpu, b)
def asfortranarray(shp, dtype, offseted_outer, offseted_inner, sliced, order):
cpu, gpu = gen_gpuarray(shp,
dtype,
offseted_outer,
offseted_inner,
sliced,
order,
ctx=ctx)
a = numpy.asfortranarray(cpu)
b = pygpu.asfortranarray(gpu)
# numpy upcast with a view to 1d scalar.
if gpu.flags['F_CONTIGUOUS']:
assert b.gpudata == gpu.gpudata
elif (sliced != 1 or shp == () or (offseted_outer and len(shp) > 1)
or (order != 'f' and len(shp) > 1)):
assert b is not gpu
else:
assert b is gpu
assert a.shape == b.shape
assert a.dtype == b.dtype
assert a.flags.f_contiguous
assert b.flags['F_CONTIGUOUS']
if not any([s == 1 for s in cpu.shape]):
# Older version then Numpy 1.10 do not set c/f contiguous more
# frequently as we do. This cause extra copy.
assert a.strides == b.strides
assert numpy.allclose(cpu, a)
assert numpy.allclose(cpu, b)
def transfer_fortran(shp, dtype):
a = numpy.random.rand(*shp) * 10
b = pygpu.array(a, context=ctx)
a_ = numpy.asfortranarray(a)
if len(shp) > 1:
assert a_.strides != a.strides
a = a_
b = pygpu.asfortranarray(b)
c = numpy.asarray(b)
assert a.shape == b.shape == c.shape
assert a.dtype == b.dtype == c.dtype
assert a.flags.f_contiguous
assert c.flags.f_contiguous
assert a.strides == b.strides == c.strides
assert numpy.allclose(c, a)
def transfer_fortran(shp, dtype):
a = numpy.random.rand(*shp) * 10
b = pygpu.array(a, context=ctx)
a_ = numpy.asfortranarray(a)
if len(shp) > 1:
assert a_.strides != a.strides
a = a_
b = pygpu.asfortranarray(b)
c = numpy.asarray(b)
assert a.shape == b.shape == c.shape
assert a.dtype == b.dtype == c.dtype
assert a.flags.f_contiguous
assert c.flags.f_contiguous
assert a.strides == b.strides == c.strides
assert numpy.allclose(c, a)
