def test_dropout_dynamic_same_result():
x = mge.ones(10)
R.manual_seed(0)
a = F.dropout(x, 0.5)
R.manual_seed(0)
b = F.dropout(x, 0.5)
assert np.all(a.numpy() == b.numpy())
def test_M_dropout_static_same_result():
m = M.Dropout(0.5)
@jit.trace(symbolic=True)
def graph_a(x):
return m(x)
@jit.trace(symbolic=True)
def graph_b(x):
return m(x)
x = np.ones(10, dtype="float32")
R.manual_seed(0)
a = graph_a(x)
a = a.numpy().copy()
R.manual_seed(0)
b = graph_b(x)
R.manual_seed(0) # useless
c = graph_a(x)
assert np.all(a == b.numpy())
assert np.any(a != c.numpy())
def test_range_uniform_dynamic_same_result():
R.manual_seed(0)
a = R.uniform(5, low=-2, high=2)
R.manual_seed(0)
b = R.uniform(5, low=-2, high=2)
assert np.all(a.numpy() == b.numpy())
def graph_b():
R.manual_seed(731)
return R.uniform(5, low=-2, high=2)
def test_random_dynamic_same_result():
R.manual_seed(0)
a = R.uniform(5) + R.gaussian(5)
R.manual_seed(0)
b = R.uniform(5) + R.gaussian(5)
assert np.all(a.numpy() == b.numpy())
def graph_b():
R.manual_seed(731)
return R.uniform(5) + R.gaussian(5)