rm mlu ops eager guard tests (#48769)

python/paddle/fluid/tests/unittests/mlu/test_clip_op_mlu.py

@@ -21,7 +21,6 @@ import paddle
 import paddle.fluid as fluid
 from paddle.fluid import Program, program_guard
 from op_test import OpTest
-from paddle.fluid.framework import _test_eager_guard
 
 paddle.enable_static()
 

python/paddle/fluid/tests/unittests/mlu/test_expand_v2_op_mlu.py

@@ -21,7 +21,6 @@ from op_test import OpTest
 import paddle.fluid as fluid
 from paddle.fluid import compiler, Program, program_guard
 import paddle
-from paddle.fluid.framework import _test_eager_guard
 
 paddle.enable_static()
 

python/paddle/fluid/tests/unittests/mlu/test_meshgrid_op_mlu.py

@@ -21,7 +21,6 @@ from op_test import OpTest, skip_check_grad_ci
 import paddle.fluid as fluid
 import paddle
 from paddle.fluid import compiler, Program, program_guard, core
-from paddle.fluid.framework import _test_eager_guard
 
 paddle.enable_static()
 

python/paddle/fluid/tests/unittests/mlu/test_one_hot_v2_op_mlu.py

@@ -23,7 +23,7 @@ import paddle
 import paddle.fluid as fluid
 import paddle.fluid.core as core
 import paddle.fluid.framework as framework
-from paddle.fluid.framework import Program, program_guard, _test_eager_guard
+from paddle.fluid.framework import Program, program_guard
 
 paddle.enable_static()
 
@@ -203,7 +203,6 @@ class TestOneHotOpApi(unittest.TestCase):
             one_hot_label = paddle.nn.functional.one_hot(
                 fluid.dygraph.to_variable(label), depth
             )
-            # with _test_eager_guard():
             # one_hot_label = paddle.nn.functional.one_hot(
             #     paddle.to_tensor(label), depth)
 

python/paddle/fluid/tests/unittests/mlu/test_truncated_gaussian_random_op_mlu.py

@@ -24,7 +24,6 @@ sys.path.append("..")
 from op_test import OpTest
 from paddle.fluid.op import Operator
 from paddle.fluid.executor import Executor
-from paddle.fluid.framework import _test_eager_guard
 
 paddle.enable_static()
 
@@ -76,7 +75,6 @@ class TestTrunctedGaussianRandomOp(unittest.TestCase):
     # directly
     def gaussian_random_test_eager(self, place):
         with fluid.dygraph.guard(place):
-            with _test_eager_guard():
             out = paddle._C_ops.truncated_gaussian_random(
                 self.attrs["shape"],
                 self.attrs["mean"],

python/paddle/fluid/tests/unittests/mlu/test_where_op_mlu.py

@@ -25,7 +25,6 @@ from op_test import OpTest
 from paddle.fluid import compiler, Program, program_guard
 from paddle.fluid.op import Operator
 from paddle.fluid.backward import append_backward
-from paddle.fluid.framework import _test_eager_guard
 
 paddle.enable_static()
 

python/paddle/fluid/tests/unittests/mlu/test_yolo_box_op_mlu.py

@@ -23,7 +23,6 @@ from paddle.fluid import core
 import paddle.fluid as fluid
 from paddle.fluid.op import Operator
 from paddle.fluid.executor import Executor
-from paddle.fluid.framework import _test_eager_guard
 
 paddle.enable_static()