chore: import upstream snapshot with attribution

python/paddle/pir/program_patch.py

@@ -0,0 +1,53 @@
+# Copyright (c) 2023 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.base.wrapped_decorator import signature_safe_contextmanager
+
+from . import Program
+
+_already_patch_program = False
+
+
+def monkey_patch_program():
+    @signature_safe_contextmanager
+    def _lr_schedule_guard(self, is_with_opt=False):
+        # TODO(dev): Currently there has not equivalent of op_role in PIR
+        # mode, so we simply remove _lr_schedule_guard here, this should
+        # be fixed in the future.
+        yield
+
+    def state_dict(self, mode="all", scope=None):
+        from paddle.base import core
+        from paddle.base.executor import global_scope
+
+        if scope is not None and not isinstance(scope, core._Scope):
+            raise TypeError(
+                f"`scope` should be None or `paddle.static.Scope'` type, but received {type(scope)}."
+            )
+
+        if scope is None:
+            scope = global_scope()
+        return self._state_dict(mode, scope)
+
+    program_attrs = {
+        "_lr_schedule_guard": _lr_schedule_guard,
+        "state_dict": state_dict,
+    }
+
+    global _already_patch_program
+    if not _already_patch_program:
+        for attr, value in program_attrs.items():
+            setattr(Program, attr, value)
+
+        _already_patch_program = True