From 2fec8c5d9a888a1c755fd5dca4a26b27f5c4db96 Mon Sep 17 00:00:00 2001
From: minqiyang <minqiyang@baidu.com>
Date: Sun, 28 Oct 2018 19:36:05 +0800
Subject: [PATCH] Polish code

test=develop
---
 paddle/scripts/paddle_build.sh   | 2 +-
 python/paddle/fluid/layers/nn.py | 3 ++-
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/paddle/scripts/paddle_build.sh b/paddle/scripts/paddle_build.sh
index f5704473e..d6b9d1108 100755
--- a/paddle/scripts/paddle_build.sh
+++ b/paddle/scripts/paddle_build.sh
@@ -371,7 +371,7 @@ function run_test() {
     Running unit tests ...
     ========================================
 EOF
-        # ctest --output-on-failure
+        ctest --output-on-failure
         # make install should also be test when unittest
         make install -j `nproc`
         pip install ${INSTALL_PREFIX:-/paddle/build}/opt/paddle/share/wheels/*.whl
diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py
index 7e5389d49..99f1a9111 100644
--- a/python/paddle/fluid/layers/nn.py
+++ b/python/paddle/fluid/layers/nn.py
@@ -7504,11 +7504,12 @@ def hash(input, hash_size, num_hash=1, name=None):
         input (Variable): The input variable which is a one-hot word.
         hash_size (int): The space size for hash algorithm.
         num_hash (int): The times of hash, default 1.
+        name (str, default None): The name of this layer.
      Returns:
         Variable: The hash result variable which is a LoDTensor.
      Examples:
         .. code-block:: python
-             word_dict = paddle.dataset.imdb.word_dict()
+            word_dict = paddle.dataset.imdb.word_dict()
             x = fluid.layers.data(shape[1], dtype='int32', lod_level=1)
             out = fluid.layers.hash(input=x, len(word_dict))
     """
-- 
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