chore: import upstream snapshot with attribution

python/paddle/jit/dy2static/transformers/cast_transformer.py

@@ -0,0 +1,44 @@
+#   Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from paddle.jit.dy2static.utils import ast_to_source_code
+from paddle.utils import gast
+
+from .base import BaseTransformer
+
+__all__ = []
+
+
+class CastTransformer(BaseTransformer):
+    """
+    This class transforms type casting into Static Graph Ast.
+    """
+
+    def __init__(self, root):
+        self.root = root
+        self._castable_type = {'bool', 'int', 'float', 'complex'}
+
+    def transform(self):
+        self.visit(self.root)
+
+    def visit_Call(self, node):
+        self.generic_visit(node)
+        func_str = ast_to_source_code(node.func).strip()
+        if func_str in self._castable_type and len(node.args) > 0:
+            args_str = ast_to_source_code(node.args[0]).strip()
+            new_func_str = f"_jst.AsDtype({args_str}, '{func_str}')"
+            new_node = gast.parse(new_func_str).body[0].value
+            return new_node
+
+        return node