[SOT] Add functools.lru_cache support (PaddlePaddle#71298)

Author: SigureMo

python/paddle/jit/sot/opcode_translator/executor/variables/callable.py

@@ -14,6 +14,7 @@
 
 from __future__ import annotations
 
+import functools
 import inspect
 import itertools
 import operator
@@ -794,6 +795,27 @@ def main_info(self) -> dict[str, Any]:
         }
 
 
+class FunctoolsLruCacheWrapperVariable(FunctionVariable):
+    def __init__(
+        self, fn: Callable[..., Any], graph: FunctionGraph, tracker: Tracker
+    ):
+        super().__init__(fn, graph, tracker)
+        self.value = fn
+
+    def call_function(self, /, *args, **kwargs):
+        wrapped_fn = self.value.__wrapped__
+        wrapped_fn = VariableFactory.from_value(
+            wrapped_fn, self.graph, GetAttrTracker(self, "__wrapped__")
+        )
+        return wrapped_fn(*args, **kwargs)
+
+    @VariableFactory.register_from_value()
+    def from_value(value: Any, graph: FunctionGraph, tracker: Tracker):
+        if isinstance(value, functools._lru_cache_wrapper):
+            return FunctoolsLruCacheWrapperVariable(value, graph, tracker)
+        return None
+
+
 class UserDefinedGeneratorFunctionVariable(FunctionVariable):
     """
     UserDefinedGeneratorFunctionVariable is a subclass of FunctionVariable used to wrap a user-defined generator.

test/sot/test_functools.py

@@ -0,0 +1,47 @@
+# Copyright (c) 2025 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.
+
+import functools
+import unittest
+
+from test_case_base import TestCaseBase
+
+import paddle
+from paddle.jit.sot.psdb import check_no_breakgraph
+
+
+@functools.lru_cache
+def fn_with_cache(x):
+    return x + 1
+
+
+@check_no_breakgraph
+def fn_with_lru_cache(x: paddle.Tensor):
+    a1 = fn_with_cache(1)
+    b1 = fn_with_cache(x)
+    b2 = fn_with_cache(x)
+    a2 = fn_with_cache(1)
+    c1 = fn_with_cache(2)
+    c2 = fn_with_cache(2)
+    return a1, a2, b1, b2, c1, c2
+
+
+class TestFunctools(TestCaseBase):
+    def test_lru_cache(self):
+        x = paddle.rand([2, 3, 4])
+        self.assert_results(fn_with_lru_cache, x)
+
+
+if __name__ == "__main__":
+    unittest.main()