Modify documents of executor and randn and fix other errors (#23879)

test=develop

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"));

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(

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: