def _transform_tensor_shape_in_range(self, node):
assert isinstance(node, gast.For)
if not isinstance(node.iter, gast.Call):
return False
if not isinstance(node.iter.func, gast.Name):
return False
if node.iter.func.id != "range":
return False
args = node.iter.args
for idx, arg in enumerate(args):
if isinstance(arg,
gast.Name) and arg.id in self.name_to_tensor_shape:
args[idx] = create_api_shape_node(
self.name_to_tensor_shape[arg.id])
return True
def _transform_tensor_shape_if_necessary(self, cond):
for child_node in gast.walk(cond):
tensor_shape_node = None
if isinstance(child_node, (gast.Attribute)):
if self.is_tensor_shape(child_node):
tensor_shape_node = child_node
elif isinstance(child_node, (gast.Name)):
if child_node.id in self.name_to_tensor_shape:
tensor_shape_node = self.name_to_tensor_shape[
child_node.id]
if tensor_shape_node:
wrapper_node = self.node_to_wrapper_map.get(child_node)
parent_node = wrapper_node.parent.node
for field, value in gast.iter_fields(parent_node):
if child_node is value:
setattr(parent_node, field,
create_api_shape_node(tensor_shape_node))
break
def visit_Name(self, node):
if node.id in self.name_to_tensor_shape:
if self._used_by_paddle_api(node):
tensor_shape_node = self.name_to_tensor_shape[node.id]
return create_api_shape_node(tensor_shape_node)
return node
def visit_Attribute(self, node):
if self._used_by_paddle_api(node):
if self.is_tensor_shape(node):
return create_api_shape_node(node)
return node