def test_trainvar_and_ref_assign(self):
m = objax.ModuleList([objax.TrainVar(jn.zeros(2))])
m.append(objax.TrainRef(m[0]))
def increase(x):
m[0].assign(m[0].value + 1)
m[1].assign(m[1].value + 1)
return x + 1
x = np.arange(10)[:, None]
vec_increase = objax.Vectorize(increase, m.vars())
y = vec_increase(x)
self.assertEqual(y.tolist(), np.arange(1, 11)[:, None].tolist())
self.assertEqual(m[0].value.tolist(), [2., 2.])
def test_vars(self):
t = objax.TrainVar(jn.zeros([1, 2, 3, 2, 1]))
tv = '\n'.join(['objax.TrainVar(DeviceArray([[[[[0.],',
' [0.]],',
' [[0.],',
' [0.]],',
' [[0.],',
' [0.]]],',
' [[[0.],',
' [0.]],',
' [[0.],',
' [0.]],',
' [[0.],',
' [0.]]]]], dtype=float32), reduce=reduce_mean)'])
self.assertEqual(repr(t), tv)
r = objax.TrainRef(t)
rv = '\n'.join(['objax.TrainRef(ref=objax.TrainVar(DeviceArray([[[[[0.],',
' [0.]],',
' [[0.],',
' [0.]],',
' [[0.],',
' [0.]]],',
' [[[0.],',
' [0.]],',
' [[0.],',
' [0.]],',
' [[0.],',
' [0.]]]]], dtype=float32), reduce=reduce_mean))'])
self.assertEqual(repr(r), rv)
t = objax.StateVar(jn.zeros([1, 2, 3, 2, 1]))
tv = '\n'.join(['objax.StateVar(DeviceArray([[[[[0.],',
' [0.]],',
' [[0.],',
' [0.]],',
' [[0.],',
' [0.]]],',
' [[[0.],',
' [0.]],',
' [[0.],',
' [0.]],',
' [[0.],',
' [0.]]]]], dtype=float32), reduce=reduce_mean)'])
self.assertEqual(repr(t), tv)
self.assertEqual(repr(objax.random.Generator().key), 'objax.RandomState(DeviceArray([0, 0], dtype=uint32))')
