def testFrexpExecution(self):
data1 = np.random.random((5, 9, 4))
arr1 = tensor(data1.copy(), chunk_size=3)
o1, o2 = frexp(arr1)
o = o1 + o2
res = self.executor.execute_tensor(o, concat=True)[0]
expected = sum(np.frexp(data1))
self.assertTrue(np.allclose(res, expected))
arr1 = tensor(data1.copy(), chunk_size=3)
o1 = zeros(data1.shape, chunk_size=3)
o2 = zeros(data1.shape, dtype='i8', chunk_size=3)
frexp(arr1, o1, o2)
o = o1 + o2
res = self.executor.execute_tensor(o, concat=True)[0]
expected = sum(np.frexp(data1))
self.assertTrue(np.allclose(res, expected))
data1 = sps.random(5, 9, density=.1)
arr1 = tensor(data1.copy(), chunk_size=3)
o1, o2 = frexp(arr1)
o = o1 + o2
res = self.executor.execute_tensor(o, concat=True)[0]
expected = sum(np.frexp(data1.toarray()))
np.testing.assert_equal(res.toarray(), expected)
def testFrexp(self):
t1 = ones((3, 4, 5), chunks=2)
op_type = type(t1.op)
o1, o2 = frexp(t1)
self.assertIs(o1.op, o2.op)
self.assertNotEqual(o1.dtype, o2.dtype)
o1, o2 = frexp(t1, t1)
self.assertIs(o1, t1)
self.assertIsNot(o1.inputs[0], t1)
self.assertIsInstance(o1.inputs[0].op, op_type)
self.assertIsNot(o2.inputs[0], t1)
def testFrexp(self):
t1 = ones((3, 4, 5), chunk_size=2)
t2 = empty((3, 4, 5), dtype=np.float_, chunk_size=2)
op_type = type(t1.op)
o1, o2 = frexp(t1)
self.assertIs(o1.op, o2.op)
self.assertNotEqual(o1.dtype, o2.dtype)
o1, o2 = frexp(t1, t1)
self.assertIs(o1, t1)
self.assertIsNot(o1.inputs[0], t1)
self.assertIsInstance(o1.inputs[0].op, op_type)
self.assertIsNot(o2.inputs[0], t1)
o1, o2 = frexp(t1, t2, where=t1 > 0)
op_type = type(t2.op)
self.assertIs(o1, t2)
self.assertIsNot(o1.inputs[0], t1)
self.assertIsInstance(o1.inputs[0].op, op_type)
self.assertIsNot(o2.inputs[0], t1)