diff --git a/paddle/fluid/operators/controlflow/compare_op.cc b/paddle/fluid/operators/controlflow/compare_op.cc
index 579ff7148044fb23c7169f12753e6fa95d4f8a06..6579a2898b9d8d66c33e895de8e96d4b8aa48a63 100644
--- a/paddle/fluid/operators/controlflow/compare_op.cc
+++ b/paddle/fluid/operators/controlflow/compare_op.cc
@@ -88,7 +88,7 @@ class CompareOp : public framework::OperatorWithKernel {
     PADDLE_ENFORCE_GE(dim_x.size(), dim_y.size(),
                       platform::errors::InvalidArgument(
                           "The size of dim_y should not be greater than "
-                          "dim_x's, but received dim_y: %d > dim_x: %d",
+                          "dim_x's, but received dim_y: %d > dim_x: %d.\n",
                           dim_y.size(), dim_x.size()));
 
     context->SetOutputDim("Out", context->GetInputDim("X"));
diff --git a/python/paddle/fluid/executor.py b/python/paddle/fluid/executor.py
index ace58854d71d2f4ffbdaf5ae7281920d54ffd766..8ceba92dd0742ccc915a6c2e3a18e655caa105d5 100644
--- a/python/paddle/fluid/executor.py
+++ b/python/paddle/fluid/executor.py
@@ -516,7 +516,7 @@ class Executor(object):
           #     os.environ['CPU_NUM'] = str(2)
 
           # If you don't set place and PaddlePaddle is CPU version
-          # os.environ['CPU_NUM'] = str(2)
+          os.environ['CPU_NUM'] = str(2)
 
           compiled_prog = compiler.CompiledProgram(
               train_program).with_data_parallel(
diff --git a/python/paddle/tensor/random.py b/python/paddle/tensor/random.py
index 6a1cd6cc01bd01c2a3d0fcd1b83ff9d8b0505947..3f73ce186ec7716d457f99898eadcffeab910e17 100644
--- a/python/paddle/tensor/random.py
+++ b/python/paddle/tensor/random.py
@@ -31,7 +31,7 @@ from ..fluid.data_feeder import convert_dtype, check_variable_and_dtype, check_t
 from ..fluid.layers import utils
 from ..fluid.layers.tensor import fill_constant
 
-__all__ = ['randperm', 'randint']
+__all__ = ['randperm', 'randn', 'randint']
 
 
 def randint(low,
@@ -208,7 +208,7 @@ def randn(shape,
         shape(list|tuple): Shape of the generated random tensor.
         out(Variable, optional): Optional output which can be any created Variable 
             that meets the requirements to store the result of operation. If the 
-            out is `None`, a new Variable wiil be returned to store the result.
+            out is `None`, a new Variable will be returned to store the result.
             Default is None.
         dtype(np.dtype|core.VarDesc.VarType|str, optional): Data type of the output 
             tensor, which can be float32, float64. if dtype is `None` , the data 
@@ -225,7 +225,7 @@ def randn(shape,
             Default is None.
 
     Returns:
-        Random tensor whose data is drawn from a Gaussian distribution, 
+        Random tensor whose data is drawn from a standard normal distribution,
         dtype: flaot32 or float64 as specified.
 
     Return type: