diff --git a/python/paddle/fluid/dygraph/parallel.py b/python/paddle/fluid/dygraph/parallel.py
index de761cad5298aa00e05c664fb98077d73622e692..344ae55ee9d453428093e5d0c7118447bd876189 100644
--- a/python/paddle/fluid/dygraph/parallel.py
+++ b/python/paddle/fluid/dygraph/parallel.py
@@ -416,7 +416,7 @@ class DataParallel(layers.Layer):
                 g_var_shapes.append(g_var.shape)
                 flattened_vars.append(
                     nn.reshape(
-                        x=g_var, shape=[np.prod(g_var.shape)], inplace=True))
+                        x=g_var, shape=[np.prod(g_var.shape)]))
             coalesced_grad = nn.concat(flattened_vars)
             coalesced_grads_and_grad_vars.append(
                 [coalesced_grad, grad_vars, g_var_shapes])
diff --git a/python/paddle/fluid/layers/loss.py b/python/paddle/fluid/layers/loss.py
index 037c7e850040f5097aa53b0499e3194aae4470a6..dce7494c1904e9b4c95a88bba5443aa88dc079c6 100644
--- a/python/paddle/fluid/layers/loss.py
+++ b/python/paddle/fluid/layers/loss.py
@@ -1755,7 +1755,7 @@ def npair_loss(anchor, positive, labels, l2_reg=0.002):
     Beta = 0.25
     batch_size = labels.shape[0]
 
-    labels = nn.reshape(labels, shape=[batch_size, 1], inplace=True)
+    labels = nn.reshape(labels, shape=[batch_size, 1])
     labels = nn.expand(labels, expand_times=[1, batch_size])
 
     labels = equal(labels, nn.transpose(labels, perm=[1, 0])).astype('float32')
diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py
index b5148c215e99faf0273f999c036d2e24272616b1..4a15ecb2004abcb64e9d12196bb5c7c031896d2f 100755
--- a/python/paddle/fluid/layers/nn.py
+++ b/python/paddle/fluid/layers/nn.py
@@ -6101,15 +6101,17 @@ def reshape(x, shape, actual_shape=None, act=None, inplace=False, name=None):
 
     Examples:
         .. code-block:: python
-
+            
+            import paddle
             import paddle.fluid as fluid
-
+            paddle.enable_static()
+            
             # example 1:
             # attr shape is a list which doesn't contain Tensors.
             data_1 = fluid.data(
               name='data_1', shape=[2, 4, 6], dtype='float32')
             reshaped_1 = fluid.layers.reshape(
-              x=data_1, shape=[-1, 0, 3, 2], inplace=True)
+              x=data_1, shape=[-1, 0, 3, 2])
             # the shape of reshaped_1 is [2,4,3,2].
 
             # example 2:
diff --git a/python/paddle/tensor/manipulation.py b/python/paddle/tensor/manipulation.py
index dc6a04a4723bd92dbe1c76fce5b3e52981136211..6345a01f14affcf88df633d972e6ac9d86fc2115 100644
--- a/python/paddle/tensor/manipulation.py
+++ b/python/paddle/tensor/manipulation.py
@@ -363,7 +363,7 @@ def roll(x, shifts, axis=None, name=None):
         outputs={'Out': out},
         attrs={'axis': axis,
                'shifts': shifts})
-    out = layers.reshape(out, shape=origin_shape, inplace=True)
+    out = layers.reshape(out, shape=origin_shape)
     return out