def test_merge_form(self):
w1, w2 = dragon.Workspace(), dragon.Workspace()
with w1.as_default():
x = dragon.Tensor((), name='test_merge_from/x').set_value(0)
w2.merge_from(w1)
with w2.as_default():
self.assertEqual(int(x), 0)
def test_merge_form(self):
w1, w2 = dragon.Workspace(), dragon.Workspace()
with w1.as_default():
x = dragon.constant(0)
w2.merge_from(w1)
with w2.as_default():
self.assertEqual(int(x), 0)
def test_reset_tensor(self):
w = dragon.Workspace()
with w.as_default():
x = dragon.EagerTensor(1)
self.assertEqual(x.size, 1)
w.reset_tensor(x)
self.assertEqual(x.size, 0)
def test_clear(self):
w = dragon.Workspace()
with w.as_default():
x = dragon.EagerTensor(1)
self.assertEqual(x.size, 1)
w.clear()
self.assertEqual(x.size, 0)
def test_register_alias(self):
w = dragon.Workspace()
with w.as_default():
x = dragon.constant(1)
w.set_alias(x.id, 'test_register_alias/y')
alias_impl = w.get_tensor('test_register_alias/y')
self.assertEqual(int(alias_impl.ToNumpy()), 1)
def test_reset_workspace(self):
w = dragon.Workspace()
with w.as_default():
try:
dragon.reset_workspace()
except AssertionError:
pass
dragon.reset_workspace()
def test_feed_tensor(self):
w = dragon.Workspace()
with w.as_default():
v1, v2 = dragon.EagerTensor(1), np.array(2)
x = dragon.Tensor((), name='test_feed_tensor/x')
w.feed_tensor(x, v1)
self.assertEqual(int(x), 1)
w.feed_tensor(x, v2)
self.assertEqual(int(x), 2)
def test_memory_allocated(self):
w = dragon.Workspace()
with w.as_default():
_ = w.memory_allocated()
_ = dragon.cuda.memory_allocated()
def test_register_alias(self):
w = dragon.Workspace()
with w.as_default():
x = dragon.EagerTensor(1)
w.register_alias(x.id, 'test_register_alias/y')
self.assertEqual(int(w.fetch_tensor('test_register_alias/y')), 1)
