class TestErrorWithInitFromStaticMode(unittest.TestCase):
def setUp(self):
self.program_translator = ProgramTranslator()
self.x = np.random.randn(10, 32).astype('float32')
def test_raise_error(self):
# disable imperative
paddle.enable_static()
net = Net()
self.program_translator.enable(True)
with self.assertRaisesRegexp(RuntimeError,
"only available in dynamic mode"):
self.program_translator.get_output(net.forward, self.x)
with self.assertRaisesRegexp(RuntimeError,
"only available in dynamic mode"):
self.program_translator.get_program(net.forward, self.x)
class TestEnableDeclarative(unittest.TestCase):
def setUp(self):
self.x = np.random.randn(30, 10, 32).astype('float32')
self.weight = np.random.randn(32, 64).astype('float32')
self.program_translator = ProgramTranslator()
def test_raise_error(self):
with fluid.dygraph.guard():
self.program_translator.enable(True)
net = NetWithError()
with self.assertRaises(ValueError):
net(fluid.dygraph.to_variable(self.x))
def test_enable_disable_get_output(self):
self.program_translator.enable(True)
with fluid.dygraph.guard():
static_output = self.program_translator.get_output(
simple_func, self.x, self.weight)
self.program_translator.enable(False)
with fluid.dygraph.guard():
dygraph_output = self.program_translator.get_output(
simple_func, self.x, self.weight)
self.assertTrue(
np.allclose(static_output.numpy(),
dygraph_output.numpy(),
atol=1e-4))
def test_enable_disable_get_func(self):
self.program_translator.enable(True)
with fluid.dygraph.guard():
static_func = self.program_translator.get_func(simple_func)
self.assertTrue(callable(static_func))
static_output = static_func(self.x, self.weight)
self.assertTrue(isinstance(static_output, fluid.Variable))
self.program_translator.enable(False)
with fluid.dygraph.guard():
dygraph_func = self.program_translator.get_func(simple_func)
self.assertTrue(callable(dygraph_func))
dygraph_output = dygraph_func(self.x, self.weight)
self.assertTrue(isinstance(dygraph_output, fluid.core.VarBase))
def test_enable_disable_get_program(self):
self.program_translator.enable(True)
static_output = self.program_translator.get_program(
simple_func, self.x, self.weight)
self.assertTrue(isinstance(static_output, tuple))
self.assertEqual(len(static_output), 4)
self.assertTrue(isinstance(static_output[0], fluid.Program))
self.assertTrue(isinstance(static_output[1], fluid.Program))
# Check all inputs and outputs are Variable
for var in static_output[2]:
self.assertTrue(isinstance(var, fluid.Variable))
for var in static_output[3]:
self.assertTrue(isinstance(var, fluid.Variable))
self.program_translator.enable(False)
with fluid.dygraph.guard():
dygraph_output = self.program_translator.get_program(
simple_func, self.x, self.weight)
self.assertTrue(isinstance(dygraph_output, fluid.core.VarBase))
def test_enable_disable_declarative(self):
self.program_translator.enable(True)
with fluid.dygraph.guard():
static_output = decorated_simple_func(self.x, self.weight)
self.program_translator.enable(False)
with fluid.dygraph.guard():
dygraph_output = decorated_simple_func(self.x, self.weight)
self.assertTrue(
np.allclose(static_output.numpy(),
dygraph_output.numpy(),
atol=1e-4))