diff --git a/python/paddle/fluid/contrib/utils/__init__.py b/python/paddle/fluid/contrib/utils/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..df6d367782327f7b22e72ab88d6b6cc26c9d5bc9
--- /dev/null
+++ b/python/paddle/fluid/contrib/utils/__init__.py
@@ -0,0 +1,20 @@
+#   Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from __future__ import print_function
+
+from . import hdfs_utils
+from .hdfs_utils import *
+
+__all__ = hdfs_utils.__all__
diff --git a/python/paddle/fluid/contrib/utils/hdfs_utils.py b/python/paddle/fluid/contrib/utils/hdfs_utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..251665d85e166f4ebf66eced7a5889ee9fc23e08
--- /dev/null
+++ b/python/paddle/fluid/contrib/utils/hdfs_utils.py
@@ -0,0 +1,505 @@
+#   Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""HDFS Utils"""
+
+import os
+import subprocess
+import multiprocessing
+from datetime import datetime
+
+import re
+import copy
+import errno
+
+import logging
+
+__all__ = ["HDFSClient", "multi_download"]
+
+logging.basicConfig(format='%(asctime)s - %(levelname)s - %(message)s')
+_logger = logging.getLogger("hdfs_utils")
+_logger.setLevel(logging.INFO)
+
+
+class HDFSClient(object):
+    def __init__(self, hadoop_home, configs):
+        self.pre_commands = []
+        hadoop_bin = '%s/bin/hadoop' % hadoop_home
+        self.pre_commands.append(hadoop_bin)
+        dfs = 'fs'
+        self.pre_commands.append(dfs)
+
+        for k, v in configs.iteritems():
+            config_command = '-D%s=%s' % (k, v)
+            self.pre_commands.append(config_command)
+
+    def __run_hdfs_cmd(self, commands, retry_times=5):
+        whole_commands = copy.deepcopy(self.pre_commands)
+        whole_commands.extend(commands)
+
+        print('Running system command: {0}'.format(' '.join(whole_commands)))
+
+        ret_code = 0
+        ret_out = None
+        ret_err = None
+        for x in range(retry_times + 1):
+            proc = subprocess.Popen(
+                whole_commands, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+            (output, errors) = proc.communicate()
+            ret_code, ret_out, ret_err = proc.returncode, output, errors
+            if ret_code:
+                _logger.warn(
+                    'Times: %d, Error running command: %s. Return code: %d, Error: %s'
+                    % (x, ' '.join(whole_commands), proc.returncode, errors))
+            else:
+                break
+        return ret_code, ret_out, ret_err
+
+    def upload(self, hdfs_path, local_path, overwrite=False, retry_times=5):
+        """
+            upload the local file to hdfs
+            args:
+                local_file_path: the local file path
+                remote_file_path: default value(${OUTPUT_PATH}/${SYS_USER_ID}/${SYS_JOB_ID}/tmp)
+            return:
+                True or False
+        """
+        assert hdfs_path is not None
+        assert local_path is not None and os.path.exists(local_path)
+
+        if os.path.isdir(local_path):
+            _logger.warn(
+                "The Local path: {} is dir and I will support it later, return".
+                format(local_path))
+            return
+
+        base = os.path.basename(local_path)
+        if not self.is_exist(hdfs_path):
+            self.makedirs(hdfs_path)
+        else:
+            if self.is_exist(os.path.join(hdfs_path, base)):
+                if overwrite:
+                    _logger.error(
+                        "The HDFS path: {} is exist and overwrite is True, delete it".
+                        format(hdfs_path))
+                    self.delete(hdfs_path)
+                else:
+                    _logger.error(
+                        "The HDFS path: {} is exist and overwrite is False, return".
+                        format(hdfs_path))
+                    return False
+
+        put_commands = ["-put", local_path, hdfs_path]
+        returncode, output, errors = self.__run_hdfs_cmd(put_commands,
+                                                         retry_times)
+        if returncode:
+            _logger.error("Put local path: {} to HDFS path: {} failed".format(
+                local_path, hdfs_path))
+            return False
+        else:
+            _logger.info("Put local path: {} to HDFS path: {} successfully".
+                         format(local_path, hdfs_path))
+            return True
+
+    def download(self, hdfs_path, local_path, overwrite=False, unzip=False):
+        """
+            download from hdfs
+            args:
+                local_file_path: the local file path
+                remote_file_path: remote dir on hdfs
+            return:
+                True or False
+        """
+        _logger.info('Downloading %r to %r.', hdfs_path, local_path)
+        _logger.info('Download of %s to %r complete.', hdfs_path, local_path)
+
+        if not self.is_exist(hdfs_path):
+            print("HDFS path: {} do not exist".format(hdfs_path))
+            return False
+        if self.is_dir(hdfs_path):
+            _logger.error(
+                "The HDFS path: {} is dir and I will support it later, return".
+                format(hdfs_path))
+
+        if os.path.exists(local_path):
+            base = os.path.basename(hdfs_path)
+            local_file = os.path.join(local_path, base)
+            if os.path.exists(local_file):
+                if overwrite:
+                    os.remove(local_file)
+                else:
+                    _logger.error(
+                        "The Local path: {} is exist and overwrite is False, return".
+                        format(local_file))
+                    return False
+
+        self.make_local_dirs(local_path)
+
+        download_commands = ["-get", hdfs_path, local_path]
+        returncode, output, errors = self.__run_hdfs_cmd(download_commands)
+        if returncode:
+            _logger.error("Get local path: {} from HDFS path: {} failed".format(
+                local_path, hdfs_path))
+            return False
+        else:
+            _logger.info("Get local path: {} from HDFS path: {} successfully".
+                         format(local_path, hdfs_path))
+            return True
+
+    def is_exist(self, hdfs_path=None):
+        """
+            whether the remote hdfs path exists?
+            args:
+                remote_file_path: default value(${OUTPUT_PATH}/${SYS_USER_ID}/${SYS_JOB_ID}/tmp)
+                fs_name: The default values are the same as in the job configuration
+                fs_ugi: The default values are the same as in the job configuration
+            return:
+                True or False
+        """
+        exist_cmd = ['-test', '-e', hdfs_path]
+        returncode, output, errors = self.__run_hdfs_cmd(
+            exist_cmd, retry_times=1)
+
+        if returncode:
+            _logger.error("HDFS is_exist HDFS path: {} failed".format(
+                hdfs_path))
+            return False
+        else:
+            _logger.info("HDFS is_exist HDFS path: {} successfully".format(
+                hdfs_path))
+            return True
+
+    def is_dir(self, hdfs_path=None):
+        """
+            whether the remote hdfs path exists?
+            args:
+                remote_file_path: default value(${OUTPUT_PATH}/${SYS_USER_ID}/${SYS_JOB_ID}/tmp)
+                fs_name: The default values are the same as in the job configuration
+                fs_ugi: The default values are the same as in the job configuration
+            return:
+                True or False
+        """
+
+        if not self.is_exist(hdfs_path):
+            return False
+
+        dir_cmd = ['-test', '-d', hdfs_path]
+        returncode, output, errors = self.__run_hdfs_cmd(dir_cmd, retry_times=1)
+
+        if returncode:
+            _logger.error("HDFS path: {} failed is not a directory".format(
+                hdfs_path))
+            return False
+        else:
+            _logger.info("HDFS path: {} successfully is a directory".format(
+                hdfs_path))
+            return True
+
+    def delete(self, hdfs_path):
+        """Remove a file or directory from HDFS.
+
+        :param hdfs_path: HDFS path.
+        :param recursive: Recursively delete files and directories. By default,
+          this method will raise an :class:`HdfsError` if trying to delete a
+          non-empty directory.
+
+        This function returns `True` if the deletion was successful and `False` if
+        no file or directory previously existed at `hdfs_path`.
+
+        """
+        _logger.info('Deleting %r.', hdfs_path)
+
+        if not self.is_exist(hdfs_path):
+            _logger.warn("HDFS path: {} do not exist".format(hdfs_path))
+            return True
+
+        if self.is_dir(hdfs_path):
+            del_cmd = ['-rmr', hdfs_path]
+        else:
+            del_cmd = ['-rm', hdfs_path]
+
+        returncode, output, errors = self.__run_hdfs_cmd(del_cmd, retry_times=0)
+
+        if returncode:
+            _logger.error("HDFS path: {} delete files failure".format(
+                hdfs_path))
+            return False
+        else:
+            _logger.info("HDFS path: {} delete files successfully".format(
+                hdfs_path))
+            return True
+
+    def rename(self, hdfs_src_path, hdfs_dst_path, overwrite=False):
+        """Move a file or folder.
+
+        :param hdfs_src_path: Source path.
+        :param hdfs_dst_path: Destination path. If the path already exists and is
+          a directory, the source will be moved into it. If the path exists and is
+          a file, or if a parent destination directory is missing, this method will
+          raise an :class:`HdfsError`.
+
+        """
+        assert hdfs_src_path is not None
+        assert hdfs_dst_path is not None
+
+        if not self.is_exist(hdfs_src_path):
+            _logger.info("HDFS path do not exist: {}".format(hdfs_src_path))
+        if self.is_exist(hdfs_dst_path) and not overwrite:
+            _logger.error("HDFS path is exist: {} and overwrite=False".format(
+                hdfs_dst_path))
+
+        rename_command = ['-mv', hdfs_src_path, hdfs_dst_path]
+        returncode, output, errors = self.__run_hdfs_cmd(
+            rename_command, retry_times=1)
+
+        if returncode:
+            _logger.error("HDFS rename path: {} to {} failed".format(
+                hdfs_src_path, hdfs_dst_path))
+            return False
+        else:
+            _logger.info("HDFS rename path: {} to {} successfully".format(
+                hdfs_src_path, hdfs_dst_path))
+            return True
+
+    @staticmethod
+    def make_local_dirs(local_path):
+        try:
+            os.makedirs(local_path)
+        except OSError as e:
+            if e.errno != errno.EEXIST:
+                raise
+
+    def makedirs(self, hdfs_path):
+        """Create a remote directory, recursively if necessary.
+
+        :param hdfs_path: Remote path. Intermediate directories will be created
+          appropriately.
+        """
+        _logger.info('Creating directories to %r.', hdfs_path)
+        assert hdfs_path is not None
+
+        if self.is_exist(hdfs_path):
+            return
+
+        mkdirs_commands = ['-mkdir', hdfs_path]
+        returncode, output, errors = self.__run_hdfs_cmd(
+            mkdirs_commands, retry_times=1)
+
+        if returncode:
+            _logger.error("HDFS mkdir path: {} failed".format(hdfs_path))
+            return False
+        else:
+            _logger.error("HDFS mkdir path: {} successfully".format(hdfs_path))
+            return True
+
+    def ls(self, hdfs_path):
+        assert hdfs_path is not None
+
+        if not self.is_exist(hdfs_path):
+            return []
+
+        ls_commands = ['-ls', hdfs_path]
+        returncode, output, errors = self.__run_hdfs_cmd(
+            ls_commands, retry_times=1)
+
+        if returncode:
+            _logger.error("HDFS list path: {} failed".format(hdfs_path))
+            return []
+        else:
+            _logger.info("HDFS list path: {} successfully".format(hdfs_path))
+
+            ret_lines = []
+            regex = re.compile('\s+')
+            out_lines = output.strip().split("\n")
+            for line in out_lines:
+                re_line = regex.split(line)
+                if len(re_line) == 8:
+                    ret_lines.append(re_line[7])
+            return ret_lines
+
+    def lsr(self, hdfs_path, only_file=True, sort=True):
+        def sort_by_time(v1, v2):
+            v1_time = datetime.strptime(v1[1], '%Y-%m-%d %H:%M')
+            v2_time = datetime.strptime(v2[1], '%Y-%m-%d %H:%M')
+            return v1_time > v2_time
+
+        assert hdfs_path is not None
+
+        if not self.is_exist(hdfs_path):
+            return []
+
+        ls_commands = ['-lsr', hdfs_path]
+        returncode, output, errors = self.__run_hdfs_cmd(
+            ls_commands, retry_times=1)
+
+        if returncode:
+            _logger.error("HDFS list all files: {} failed".format(hdfs_path))
+            return []
+        else:
+            _logger.info("HDFS list all files: {} successfully".format(
+                hdfs_path))
+            lines = []
+            regex = re.compile('\s+')
+            out_lines = output.strip().split("\n")
+            for line in out_lines:
+                re_line = regex.split(line)
+                if len(re_line) == 8:
+                    if only_file and re_line[0][0] == "d":
+                        continue
+                    else:
+                        lines.append(
+                            (re_line[7], re_line[5] + " " + re_line[6]))
+            if sort:
+                sorted(lines, cmp=sort_by_time)
+            ret_lines = [ret[0] for ret in lines]
+            return ret_lines
+
+
+def multi_upload(client,
+                 hdfs_path,
+                 local_path,
+                 multi_processes=5,
+                 overwrite=False):
+    """
+    :param overwrite: will overwrite hdfs file or not
+    :param multi_processes: the upload data process at the same time, default=5
+    :param client: instance of HDFSClient
+    :param hdfs_path: path on hdfs
+    :param local_path: path on local
+    :return:
+    """
+
+    def __subprocess_upload(datas):
+        for data in datas:
+            re_path = os.path.relpath(os.path.dirname(data), local_path)
+            hdfs_re_path = os.path.join(hdfs_path, re_path)
+            client.upload(hdfs_re_path, data, overwrite, retry_times=5)
+
+    def get_local_files(path):
+        rlist = []
+
+        if not os.path.isdir(path):
+            return rlist
+
+        for dirname, folder, files in os.walk(path):
+            for i in files:
+                t = os.path.join(dirname, i)
+                rlist.append(t)
+        return rlist
+
+    assert isinstance(client, HDFSClient)
+
+    all_files = get_local_files(local_path)
+    if not all_files:
+        _logger.info("there are nothing need to upload, exit")
+        return
+    _logger.info("Start {} multi process to upload datas".format(
+        multi_processes))
+    procs = []
+    for i in range(multi_processes):
+        process_datas = all_files[i::multi_processes]
+        p = multiprocessing.Process(
+            target=__subprocess_upload, args=(process_datas, ))
+        procs.append(p)
+        p.start()
+
+    # complete the processes
+    for proc in procs:
+        proc.join()
+
+    _logger.info("Finish {} multi process to upload datas".format(
+        multi_processes))
+
+
+def multi_download(client,
+                   hdfs_path,
+                   local_path,
+                   trainer_id,
+                   trainers,
+                   multi_processes=5):
+    """
+    multi_download
+    :param client: instance of HDFSClient
+    :param hdfs_path: path on hdfs
+    :param local_path: path on local
+    :param trainer_id: current trainer id
+    :param trainers: all trainers number
+    :param multi_processes: the download data process at the same time, default=5
+    :return: None
+    """
+
+    def __subprocess_download(datas):
+        for data in datas:
+            re_path = os.path.relpath(os.path.dirname(data), hdfs_path)
+            local_re_path = os.path.join(local_path, re_path)
+            client.download(data, local_re_path)
+
+    assert isinstance(client, HDFSClient)
+
+    client.make_local_dirs(local_path)
+    _logger.info("Make local dir {} successfully".format(local_path))
+
+    all_need_download = client.lsr(hdfs_path, sort=True)
+    need_download = all_need_download[trainer_id::trainers]
+    _logger.info("Get {} files From all {} files need to be download from {}".
+                 format(len(need_download), len(all_need_download), hdfs_path))
+
+    _logger.info("Start {} multi process to download datas".format(
+        multi_processes))
+    procs = []
+    for i in range(multi_processes):
+        process_datas = need_download[i::multi_processes]
+        p = multiprocessing.Process(
+            target=__subprocess_download, args=(process_datas, ))
+        procs.append(p)
+        p.start()
+
+    # complete the processes
+    for proc in procs:
+        proc.join()
+
+    _logger.info("Finish {} multi process to download datas".format(
+        multi_processes))
+
+    local_downloads = []
+    for data in need_download:
+        data_name = os.path.basename(data)
+        re_path = os.path.relpath(os.path.dirname(data), hdfs_path)
+        local_re_path = os.path.join(local_path, re_path, data_name)
+        local_downloads.append(local_re_path)
+
+    return local_downloads
+
+
+if __name__ == "__main__":
+    hadoop_home = "/home/client/hadoop-client/hadoop/"
+
+    configs = {
+        "fs.default.name": "hdfs://xxx.hadoop.com:54310",
+        "hadoop.job.ugi": "hello,hello123"
+    }
+
+    client = HDFSClient(hadoop_home, configs)
+
+    client.ls("/user/com/train-25")
+    files = client.lsr("/user/com/train-25/models")
+
+    downloads = multi_download(
+        client,
+        "/user/com/train-25/model",
+        "/home/xx/data1",
+        1,
+        5,
+        multi_processes=5)
+
+    multi_upload(client, "/user/com/train-25/model", "/home/xx/data1")