diff --git a/python/paddle/tensor/creation.py b/python/paddle/tensor/creation.py
index 3e74e7a579a35..b0b7a8c8050f0 100644
--- a/python/paddle/tensor/creation.py
+++ b/python/paddle/tensor/creation.py
@@ -907,15 +907,15 @@ def fill_constant(shape, dtype, value, force_cpu=False, out=None, name=None):
             value = float(value)
             if isinstance(shape, (list, tuple)):
                 shape = paddle.utils.convert_shape_to_list(shape)
-
         else:
+            paddle.utils.check_shape(shape)
             if isinstance(shape, (list, tuple)):
                 if paddle.utils._contain_var(shape):
                     shape = paddle.utils.get_int_tensor_list(shape, place)
             elif isinstance(shape, paddle.pir.Value):
                 pass
             else:
-                TypeError("Shape only supports OpResult, or list, or tuple.")
+                raise TypeError("Shape only supports Value, or list, or tuple.")
 
         if out is None:
             out = _C_ops.full(shape, value, dtype, place)
diff --git a/python/paddle/utils/layers_utils.py b/python/paddle/utils/layers_utils.py
index d61ed75aa4e2b..4c0950a3da558 100644
--- a/python/paddle/utils/layers_utils.py
+++ b/python/paddle/utils/layers_utils.py
@@ -30,6 +30,7 @@
     _current_expected_place,
     in_dygraph_mode,
 )
+from ..pir import Value
 
 
 def convert_to_list(value, n, name, dtype=int):
@@ -496,11 +497,11 @@ def check_shape(shape):
     """
     Check shape type and shape elements type before passing it to fill_constant
     """
-    if isinstance(shape, Variable):
+    if isinstance(shape, (Variable, Value)):
         check_dtype(shape.dtype, 'shape', ['int32', 'int64'], 'fill_constant')
-    else:
+    elif isinstance(shape, (list, tuple)):
         for ele in shape:
-            if not isinstance(ele, Variable):
+            if not isinstance(ele, (Variable, Value)):
                 if ele < 0:
                     raise ValueError(
                         "All elements in ``shape`` must be positive when it's a list or tuple"
@@ -509,6 +510,13 @@ def check_shape(shape):
                     raise TypeError(
                         "All elements in ``shape`` must be integers when it's a list or tuple"
                     )
+            else:
+                check_dtype(
+                    ele.dtype,
+                    'element of shape',
+                    ['int32', 'int64'],
+                    'fill_constant',
+                )
 
 
 def try_set_static_shape_tensor(tensor, shape):
diff --git a/test/legacy_test/test_full_op.py b/test/legacy_test/test_full_op.py
index 0281d41252a27..60e7d01c7f237 100644
--- a/test/legacy_test/test_full_op.py
+++ b/test/legacy_test/test_full_op.py
@@ -18,7 +18,6 @@
 
 import paddle
 from paddle import base
-from paddle.base import Program, program_guard
 from paddle.pir_utils import test_with_pir_api
 
 
@@ -26,6 +25,7 @@
 class TestFullAPI(unittest.TestCase):
     @test_with_pir_api
     def test_api(self):
+        paddle.enable_static()
         with paddle.static.program_guard(paddle.static.Program()):
             positive_2_int32 = paddle.tensor.fill_constant([1], "int32", 2)
 
@@ -98,6 +98,7 @@ def test_api(self):
         np.testing.assert_array_equal(
             res_7, np.full([1, 2], 1.1, dtype="float32")
         )
+        paddle.disable_static()
 
     def test_api_eager(self):
         with base.dygraph.base.guard():
@@ -184,8 +185,12 @@ def test_api_eager(self):
 
 
 class TestFullOpError(unittest.TestCase):
+    @test_with_pir_api
     def test_errors(self):
-        with program_guard(Program(), Program()):
+        paddle.enable_static()
+        with paddle.static.program_guard(
+            paddle.static.Program(), paddle.static.Program()
+        ):
             # for ci coverage
             self.assertRaises(
                 TypeError, paddle.full, shape=[1], fill_value=5, dtype='uint4'
@@ -216,6 +221,7 @@ def test_shape_tensor_list_dtype():
                 paddle.full(shape=[shape, 2], dtype="float32", fill_value=1)
 
             self.assertRaises(TypeError, test_shape_tensor_list_dtype)
+        paddle.disable_static()
 
 
 if __name__ == "__main__":