diff --git a/python/paddle/fluid/__init__.py b/python/paddle/fluid/__init__.py
index 1be99cb4a701ee6a16a550745cf61a3fcc03f31b..6894b9d66e02f945e4478591bddb984ab3f946f1 100644
--- a/python/paddle/fluid/__init__.py
+++ b/python/paddle/fluid/__init__.py
@@ -84,7 +84,7 @@ from paddle.fluid.layers.math_op_patch import monkey_patch_variable
 from . import install_check
 from .dygraph.nn import *
 from .dygraph.layers import *
-from .dygraph.base import enable_dygraph, disable_dygraph
+from .dygraph.base import enable_dygraph, disable_dygraph, enable_imperative, disable_imperative
 from .io import save, load, load_program_state, set_program_state
 from .dygraph.checkpoint import save_dygraph, load_dygraph
 from .dygraph.varbase_patch_methods import monkey_patch_varbase
@@ -104,6 +104,8 @@ __all__ = framework.__all__ + executor.__all__ + \
         'dygraph',
         'enable_dygraph',
         'disable_dygraph',
+        'enable_imperative',
+        'disable_imperative',
         'transpiler',
         'nets',
         'optimizer',
diff --git a/python/paddle/fluid/dygraph/base.py b/python/paddle/fluid/dygraph/base.py
index 627376efa1ec5d6686e53441804464342f986b25..525563428b2d959649931de38adaf296adca8ebe 100644
--- a/python/paddle/fluid/dygraph/base.py
+++ b/python/paddle/fluid/dygraph/base.py
@@ -29,6 +29,8 @@ __all__ = [
     'guard',
     'enable_dygraph',
     'disable_dygraph',
+    'enable_imperative',
+    'disable_imperative',
     'enabled',
     'to_variable',
 ]
@@ -86,6 +88,54 @@ def enabled():
     return framework.in_dygraph_mode()
 
 
+def enable_imperative(place=None):
+    """
+    This function enables imperative mode.
+
+    Parameters:
+        place(fluid.CPUPlace or fluid.CUDAPlace, optional): Place for imperative execution.
+            If None, the running place will be determined according to the way of paddle compilation. Default: None
+
+    return:
+        None
+
+    Examples:
+        .. code-block:: python
+
+            import paddle.fluid as fluid
+
+            fluid.enable_imperative()  # Now we are in imperative mode
+            x = fluid.layers.ones( (2, 2), "float32")
+            y = fluid.layers.zeros( (2, 2), "float32")
+            z = x + y
+            print( z.numpy() )   #[[1, 1], [1, 1]]
+
+    """
+    enable_dygraph(place)
+
+
+def disable_imperative():
+    """
+    This function disables imperative mode.
+
+    return:
+        None
+
+    Examples:
+        .. code-block:: python
+
+            import paddle.fluid as fluid
+
+            fluid.enable_imperative()  # Now we are in imperative mode
+            x = fluid.layers.ones( (2, 2), "float32")
+            y = fluid.layers.zeros( (2, 2), "float32")
+            z = x + y
+            print( z.numpy() )   #[[1, 1], [1, 1]]
+            fluid.disable_imperative() # Now we are in declarative mode
+    """
+    disable_dygraph()
+
+
 def enable_dygraph(place=None):
     """
     This function enables dynamic graph mode.
diff --git a/python/paddle/fluid/tests/unittests/test_imperative_basic.py b/python/paddle/fluid/tests/unittests/test_imperative_basic.py
index 47831341c489e1741923a6fe0938618fc5a508c3..a427557aaeeb9ca95a7cee10fc5c94ecd3229831 100644
--- a/python/paddle/fluid/tests/unittests/test_imperative_basic.py
+++ b/python/paddle/fluid/tests/unittests/test_imperative_basic.py
@@ -203,6 +203,20 @@ class TestImperative(unittest.TestCase):
         self.assertTrue(np.array_equal(dy_out1, dy_out2))
         self.assertTrue(np.array_equal(dy_grad1, dy_grad2))
 
+    def test_anable_imperative(self):
+        self.assertFalse(fluid.dygraph.enabled())
+        fluid.enable_imperative()
+        self.assertTrue(fluid.dygraph.enabled())
+        np_inp = np.array([[1.0, 2.0], [3.0, 4.0]], dtype=np.float32)
+        var_inp = fluid.dygraph.base.to_variable(np_inp)
+        mlp = MLP(input_size=2)
+        out = mlp(var_inp)
+        dy_out1 = out.numpy()
+        out.backward()
+        dy_grad1 = mlp._linear1.weight.gradient()
+        fluid.disable_imperative()
+        self.assertFalse(fluid.dygraph.enabled())
+
     def test_isinstance(self):
         var = fluid.layers.data(shape=[1], name='x', dtype='float32')
         self.assertTrue(isinstance(var, fluid.Variable))