def uniform(self, low=0.0, high=1.0, size=None):
if size is None:
tsr = ctf.empty(1)
tsr.fill_random(low, high)
return tsr[0]
else:
tsr = ctf.empty(size)
tsr.fill_random(low, high)
return CTFTensor(tsr)
def test_empty(self):
a1 = ctf.empty((2, 3, 4))
a1 = ctf.empty((2, 3, 4), dtype=numpy.complex128)
a1 = ctf.empty_like(a1)
self.assertTrue(a1.dtype == numpy.complex128)
def test_empty(self):
a1 = ctf.empty((2,3,4))
a1 = ctf.empty((2,3,4), dtype=numpy.complex128)
a1 = ctf.empty_like(a1)
self.assertTrue(a1.dtype == numpy.complex128)
def empty(self, shape, dtype=float):
return self.tensor(ctf.empty(shape, dtype=dtype))
