def test_paddle_api_with_andOr(self):
code_or = """
def foo(x):
if 2 > 1 and fluid.layers.shape(x)[0] > 16 or x is not None :
x = x + 1
return x
"""
code_and = """
def foo(x):
if 2 > 1 and fluid.layers.shape(x)[0] > 16 and x is not None :
x = x + 1
return x
"""
for code in [code_or, code_and]:
code = textwrap.dedent(code)
node = gast.parse(code)
static_analysis_visitor = StaticAnalysisVisitor(node)
test_node = node.body[0].body[0].test
if_visitor = IfConditionVisitor(test_node, static_analysis_visitor)
self.assertTrue(if_visitor.is_control_flow())
new_node, assign_nodes = if_visitor.transform()
# Transformation result:
# bool_tensor_0 = fluid.layers.fill_constant(shape=[1], dtype='bool', value=bool(2 > 1))
# bool_tensor_1 = fluid.layers.fill_constant(shape=[1], dtype='bool', value=bool(x is not None))
# logic_and_0 = fluid.layers.logical_and(x=bool_tensor_0, y=fluid.layers.shape(x)[0] > 16)
# logic_and_1 = fluid.layers.logical_and(x=logic_and_0, y=bool_tensor_1) for code_and
# logic_or_0= fluid.layers.logical_or(x=logic_and_0, y=bool_tensor_1) for code_and
self.assertTrue(isinstance(new_node, gast.Name))
self.assertTrue(len(assign_nodes) == 4)
def test_if(self):
node = gast.parse("x.numpy()[1] > 1")
node_test = node.body[0].value
if_visitor = IfConditionVisitor(node_test)
self.assertTrue(if_visitor.is_control_flow())
# No transformation will be applied.
new_node, assign_nodes = if_visitor.transform()
self.assertTrue(len(assign_nodes) == 0)
def test_if_with_or(self):
node = gast.parse("1 < fluid.layers.sum(x).numpy()[2] or x+y < 0")
node_test = node.body[0].value
if_visitor = IfConditionVisitor(node_test)
self.assertTrue(if_visitor.is_control_flow())
# No transformation will be applied.
new_node, assign_nodes = if_visitor.transform()
self.assertTrue(isinstance(new_node, gast.Name))
self.assertTrue(len(assign_nodes) == 2)
def test_if_with_and(self):
node = gast.parse("x and 1 < x.numpy()[1]")
node_test = node.body[0].value
if_visitor = IfConditionVisitor(node_test)
self.assertTrue(if_visitor.is_control_flow())
# No transformation will be applied.
new_node, assign_nodes = if_visitor.transform()
self.assertTrue(isinstance(new_node, gast.Name))
self.assertTrue(len(assign_nodes) == 2)
def check_false_case(self, code):
code = textwrap.dedent(code)
node = gast.parse(code)
node_test = node.body[0].value
if_visitor = IfConditionVisitor(node_test)
self.assertFalse(if_visitor.is_control_flow())
# No transformation will be applied.
new_node, assign_nodes = if_visitor.transform()
self.assertTrue(new_node == node_test)
self.assertTrue(len(assign_nodes) == 0)
def test_is_None4(self):
node = gast.parse("fluid.layers.sum(x) and 2>1")
node_test = node.body[0].value
if_visitor = IfConditionVisitor(node_test)
self.assertTrue(if_visitor.is_control_flow())
# Transformation result:
# bool_tensor_0 = fluid.layers.cast(x=fluid.layers.sum(x), dtype='bool')
# bool_tensor_1 = fluid.layers.fill_constant(shape=[1], dtype='bool', value=bool(2 > 1))
# logic_and_0 = fluid.layers.logical_and(x=bool_tensor_0, y=bool_tensor_1)
new_node, assign_nodes = if_visitor.transform()
self.assertTrue(len(assign_nodes) == 3)
def test_paddle_api(self):
code = """
def foo(x):
if fluid.layers.shape(x)[0] > 16:
x = x + 1
return x
"""
code = textwrap.dedent(code)
node = gast.parse(code)
static_analysis_visitor = StaticAnalysisVisitor(node)
test_node = node.body[0].body[0].test
if_visitor = IfConditionVisitor(test_node, static_analysis_visitor)
self.assertTrue(if_visitor.is_control_flow())
# No transformation will be applied.
new_node, assign_nodes = if_visitor.transform()
self.assertTrue(new_node == test_node)
self.assertTrue(len(assign_nodes) == 0)
def test_shape_with_andOr(self):
code = """
def foo(x):
batch_size = fluid.layers.shape(x)
if x is not None and batch_size[0] > 16 or 2 > 1:
x = x + 1
return x
"""
code = textwrap.dedent(code)
node = gast.parse(code)
static_analysis_visitor = StaticAnalysisVisitor(node)
test_node = node.body[0].body[1].test
if_visitor = IfConditionVisitor(test_node, static_analysis_visitor)
self.assertTrue(if_visitor.is_control_flow())
new_node, assign_nodes = if_visitor.transform()
# transformation result:
# bool_tensor_0 = fluid.layers.fill_constant(shape=[1], dtype='bool', value=bool(x is not None))
# logic_and_0 = fluid.layers.logical_and(x=bool_tensor_0, y=batch_size[0] > 16)
# bool_tensor_1 = fluid.layers.fill_constant(shape=[1], dtype='bool', value=bool(2 > 1))
# logic_or_0 = fluid.layers.logical_or(x=logic_and_0, y=bool_tensor_1)
self.assertTrue(isinstance(new_node, gast.Name))
self.assertTrue(len(assign_nodes) == 4)