PaddlePaddle
diff --git a/‎python/paddle/jit/dy2static/origin_info.py
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-8Lines changed: 0 additions & 8 deletions b/‎python/paddle/jit/dy2static/origin_info.py
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-8Lines changed: 0 additions & 8 deletions
diff --git a/‎python/paddle/optimizer/optimizer.py
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+6-14Lines changed: 6 additions & 14 deletions b/‎python/paddle/optimizer/optimizer.py
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+6-14Lines changed: 6 additions & 14 deletions
diff --git a/‎python/paddle/pir/program_patch.py
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+18-3Lines changed: 18 additions & 3 deletions b/‎python/paddle/pir/program_patch.py
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+18-3Lines changed: 18 additions & 3 deletions
diff --git a/‎test/dygraph_to_static/test_break_continue.py
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+90-32Lines changed: 90 additions & 32 deletions b/‎test/dygraph_to_static/test_break_continue.py
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+90-32Lines changed: 90 additions & 32 deletions
diff --git a/‎test/dygraph_to_static/test_cpu_cuda_to_tensor.py
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+10-6Lines changed: 10 additions & 6 deletions b/‎test/dygraph_to_static/test_cpu_cuda_to_tensor.py
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+10-6Lines changed: 10 additions & 6 deletions
@@ -133,14 +133,6 @@ def _attach_origin_info(self, node):
         setattr(node, ORIGI_INFO, origin_info)
 
     def _abs_lineno(self, node):
-        # NOTE(liym27):
-        #   There are differences in ast_node.lineno between PY3.8+ and PY3.8-.
-        #   If the first gast.FunctionDef has decorator, the lineno of gast.FunctionDef is differs.
-        #       1. < PY3.8
-        #           its lineno equals to the lineno of the first decorator node, which is not right.
-        #       2. >= PY3.8
-        #           its lineno is the actual lineno, which is right.
-
         return self.lineno_offset + node.lineno
 
     def _abs_col_offset(self, node):
 
@@ -32,7 +32,6 @@
     in_dynamic_or_pir_mode,
     in_pir_mode,
     name_scope,
-    use_pir_api,
 )
 from paddle.regularizer import L2Decay
 
@@ -795,19 +794,12 @@ def _create_param_lr(self, param_and_grad):
                 if param_lr == 1.0:
                     return self._global_learning_rate()
                 else:
-                    if not use_pir_api():
-                        with paddle.static.default_main_program()._lr_schedule_guard(
-                            is_with_opt=True
-                        ), framework.name_scope(
-                            'scale_with_param_lr'
-                        ):
-                            return self._global_learning_rate() * param_lr
-                    else:
-                        # 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.
-                        with framework.name_scope('scale_with_param_lr'):
-                            return self._global_learning_rate() * param_lr
+                    with paddle.static.default_main_program()._lr_schedule_guard(
+                        is_with_opt=True
+                    ), framework.name_scope(
+                        'scale_with_param_lr'
+                    ):
+                        return self._global_learning_rate() * param_lr
         else:
             return self._global_learning_rate()
 
 
@@ -12,6 +12,8 @@
 # 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
@@ -25,10 +27,23 @@ def global_seed(self, seed=0):
         global_prog_seed = seed
         self._seed = global_prog_seed
 
+    @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
+
+    global global_prog_seed
+    program_attrs = {
+        "global_seed": global_seed,
+        "_seed": global_prog_seed,
+        "_lr_schedule_guard": _lr_schedule_guard,
+    }
+
     global _already_patch_program
     if not _already_patch_program:
-        Program.global_seed = global_seed
-        global global_prog_seed
-        Program._seed = global_prog_seed
+        for attr, value in program_attrs.items():
+            setattr(Program, attr, value)
 
         _already_patch_program = True
@@ -15,11 +15,17 @@
 import unittest
 
 import numpy as np
-from dygraph_to_static_utils import Dy2StTestBase, test_ast_only
+from dygraph_to_static_utils import (
+    Dy2StTestBase,
+    IrMode,
+    ToStaticMode,
+    disable_test_case,
+    enable_to_static_guard,
+    test_ast_only,
+    test_legacy_and_pt_and_pir,
+)
 
 import paddle
-from paddle import base
-from paddle.jit.api import to_static
 from paddle.jit.dy2static.utils import Dygraph2StaticException
 
 SEED = 2020
@@ -36,14 +42,12 @@ def setUp(self):
     def test_error(self):
         if self.dyfunc:
             with self.assertRaisesRegex(Dygraph2StaticException, self.error):
-                paddle.jit.enable_to_static(True)
-                self.assertTrue(to_static(self.dyfunc)(self.x))
-        paddle.base.dygraph.base.global_var._in_to_static_mode_ = False
-        paddle.jit.enable_to_static(False)
+                with enable_to_static_guard(True):
+                    self.assertTrue(paddle.jit.to_static(self.dyfunc)(self.x))
 
 
 def test_continue_in_for(x):
-    x = base.dygraph.to_variable(x)
+    x = paddle.to_tensor(x)
     for i in range(10):
         x += 1
         if i > 5:
@@ -54,7 +58,7 @@ def test_continue_in_for(x):
 
 
 def test_continue_in_for_at_end(x):
-    x = base.dygraph.to_variable(x)
+    x = paddle.to_tensor(x)
     for i in range(10):
         x += 1
         if i > 5:
@@ -63,7 +67,7 @@ def test_continue_in_for_at_end(x):
 
 
 def test_continue_in_while(x):
-    x = base.dygraph.to_variable(x)
+    x = paddle.to_tensor(x)
     i = paddle.tensor.fill_constant(shape=[1], dtype='int32', value=0)
     while i < 10:
         i += 1
@@ -75,7 +79,7 @@ def test_continue_in_while(x):
 
 
 def test_break_in_for(x):
-    x = base.dygraph.to_variable(x)
+    x = paddle.to_tensor(x)
     for i in range(10):
         x += 1
         if i > 5:
@@ -86,7 +90,7 @@ def test_break_in_for(x):
 
 
 def test_break_in_for_at_end(x):
-    x = base.dygraph.to_variable(x)
+    x = paddle.to_tensor(x)
     for i in range(10):
         x += 1
         if i > 5:
@@ -95,7 +99,7 @@ def test_break_in_for_at_end(x):
 
 
 def test_break_in_while(x):
-    x = base.dygraph.to_variable(x)
+    x = paddle.to_tensor(x)
     i = paddle.tensor.fill_constant(shape=[1], dtype='int32', value=0)
     while i < 10:
         i += 1
@@ -107,7 +111,7 @@ def test_break_in_while(x):
 
 
 def test_break_continue_in_for(x):
-    x = base.dygraph.to_variable(x)
+    x = paddle.to_tensor(x)
 
     for i in range(1, 10, 1):
         if i <= 4:
@@ -137,7 +141,7 @@ def test_break_continue_in_for(x):
 
 
 def test_for_in_else(x):
-    x = base.dygraph.to_variable(x)
+    x = paddle.to_tensor(x)
 
     # Case 1:
     if False:
@@ -168,7 +172,7 @@ def __init__(self):
             self.c = 5
 
     foo = Foo()
-    i = base.dygraph.to_variable(x)
+    i = paddle.to_tensor(x)
     while i < 10:
         foo.b = paddle.zeros(shape=[1], dtype='float32')
         foo.c = foo.b + foo.a
@@ -204,32 +208,47 @@ def test_optim_break_in_while(x):
     return x
 
 
-class TestContinueInFor(Dy2StTestBase):
+class TestContinueBase(Dy2StTestBase):
     def setUp(self):
         self.input = np.zeros(1).astype('int64')
-        self.place = (
-            base.CUDAPlace(0)
-            if base.is_compiled_with_cuda()
-            else base.CPUPlace()
-        )
-        self.init_dygraph_func()
 
     def init_dygraph_func(self):
-        self.dygraph_func = test_continue_in_for
+        raise NotImplementedError(
+            "For Continue test should implement init_dygraph_func"
+        )
 
     def run_dygraph_mode(self):
-        with base.dygraph.guard():
-            res = self.dygraph_func(self.input)
-            return res.numpy()
+        res = self.dygraph_func(self.input)
+        return res.numpy()
 
     def run_static_mode(self):
-        with base.dygraph.guard():
-            res = to_static(self.dygraph_func)(self.input)
-            return res.numpy()
+        res = paddle.jit.to_static(self.dygraph_func)(self.input)
+        return res.numpy()
+
+
+class TestContinueInFor(TestContinueBase):
+    def init_dygraph_func(self):
+        self.dygraph_func = test_continue_in_for
 
+    @test_legacy_and_pt_and_pir
     def test_transformed_static_result(self):
+        self.init_dygraph_func()
+        dygraph_res = self.run_dygraph_mode()
         static_res = self.run_static_mode()
+        np.testing.assert_allclose(
+            dygraph_res,
+            static_res,
+            rtol=1e-05,
+            err_msg=f'dygraph res is {dygraph_res}\nstatic_res is {static_res}',
+        )
+
+
+# TODO(pir-control-flow): Fix this after we support control-flow in PIR
+class TestContinueNotPirBase(TestContinueInFor):
+    def test_transformed_static_result(self):
+        self.init_dygraph_func()
         dygraph_res = self.run_dygraph_mode()
+        static_res = self.run_static_mode()
         np.testing.assert_allclose(
             dygraph_res,
             static_res,
@@ -253,7 +272,7 @@ def init_dygraph_func(self):
         self.dygraph_func = test_break_in_for_at_end
 
 
-class TestBreakContinueInFor(TestContinueInFor):
+class TestBreakContinueInFor(TestContinueNotPirBase):
     def init_dygraph_func(self):
         self.dygraph_func = test_break_continue_in_for
 
@@ -263,15 +282,41 @@ def init_dygraph_func(self):
         self.dygraph_func = test_for_in_else
 
 
-class TestContinueInWhile(TestContinueInFor):
+class TestContinueInWhile(TestContinueNotPirBase):
     def init_dygraph_func(self):
         self.dygraph_func = test_continue_in_while
 
+    # TODO(dev): Remove this after fix PT Rename issue
+    @disable_test_case((ToStaticMode.AST, IrMode.PT))
+    def test_transformed_static_result(self):
+        self.init_dygraph_func()
+        dygraph_res = self.run_dygraph_mode()
+        static_res = self.run_static_mode()
+        np.testing.assert_allclose(
+            dygraph_res,
+            static_res,
+            rtol=1e-05,
+            err_msg=f'dygraph res is {dygraph_res}\nstatic_res is {static_res}',
+        )
+
 
 class TestBreakInWhile(TestContinueInWhile):
     def init_dygraph_func(self):
         self.dygraph_func = test_break_in_while
 
+    # TODO(dev): Remove this after fix PT Rename issue
+    @disable_test_case((ToStaticMode.AST, IrMode.PT))
+    def test_transformed_static_result(self):
+        self.init_dygraph_func()
+        dygraph_res = self.run_dygraph_mode()
+        static_res = self.run_static_mode()
+        np.testing.assert_allclose(
+            dygraph_res,
+            static_res,
+            rtol=1e-05,
+            err_msg=f'dygraph res is {dygraph_res}\nstatic_res is {static_res}',
+        )
+
 
 class TestWhileLoopClassVar(TestContinueInWhile):
     def init_dygraph_func(self):
@@ -289,6 +334,19 @@ class TestOptimBreakInWhile(TestContinueInWhile):
     def init_dygraph_func(self):
         self.dygraph_func = test_optim_break_in_while
 
+    # TODO(dev): Remove this after fix PT Rename issue
+    @disable_test_case((ToStaticMode.AST, IrMode.PT))
+    def test_transformed_static_result(self):
+        self.init_dygraph_func()
+        dygraph_res = self.run_dygraph_mode()
+        static_res = self.run_static_mode()
+        np.testing.assert_allclose(
+            dygraph_res,
+            static_res,
+            rtol=1e-05,
+            err_msg=f'dygraph res is {dygraph_res}\nstatic_res is {static_res}',
+        )
+
 
 if __name__ == '__main__':
     unittest.main()
@@ -17,13 +17,14 @@
 import numpy as np
 from dygraph_to_static_utils import (
     Dy2StTestBase,
-    test_ast_only,
+    test_legacy_and_pt_and_pir,
 )
 
 import paddle
 
 
 class TestCpuCuda(Dy2StTestBase):
+    @test_legacy_and_pt_and_pir
     def test_cpu_cuda(self):
         def func(x):
             x = paddle.to_tensor([1, 2, 3, 4])
@@ -33,10 +34,13 @@ def func(x):
 
         x = paddle.to_tensor([3])
         # print(paddle.jit.to_static(func).code)
-        # print(paddle.jit.to_static(func)(x))
+        if paddle.is_compiled_with_cuda():
+            res = paddle.jit.to_static(func)(x)
+            self.assertTrue(res.place.is_cpu_place())
 
 
 class TestToTensor(Dy2StTestBase):
+    @test_legacy_and_pt_and_pir
     def test_to_tensor_with_variable_list(self):
         def func(x):
             ones = paddle.to_tensor(1)
@@ -54,7 +58,7 @@ def func(x):
 
 
 class TestToTensor1(Dy2StTestBase):
-    @test_ast_only
+    @test_legacy_and_pt_and_pir
     def test_to_tensor_with_variable_list(self):
         def func(x):
             ones = paddle.to_tensor([1])
@@ -72,7 +76,7 @@ def func(x):
             rtol=1e-05,
         )
 
-    @test_ast_only
+    @test_legacy_and_pt_and_pir
     def test_to_tensor_with_variable_list_sot(self):
         def func(x):
             ones = paddle.to_tensor([1])
@@ -92,7 +96,7 @@ def func(x):
 
 
 class TestToTensor2(Dy2StTestBase):
-    @test_ast_only
+    @test_legacy_and_pt_and_pir
     def test_to_tensor_with_variable_list(self):
         def func(x):
             x = paddle.to_tensor([[1], [2], [3], [4]])
@@ -105,7 +109,7 @@ def func(x):
             rtol=1e-05,
         )
 
-    @test_ast_only
+    @test_legacy_and_pt_and_pir
     def test_to_tensor_with_variable_list_sot(self):
         def func(x):
             x = paddle.to_tensor([[1], [2], [3], [4]])