diff --git a/paddle/gserver/dataproviders/DataProvider.h b/paddle/gserver/dataproviders/DataProvider.h
index 534491d70d546734f2197de5b04a85a56d00d732..c24546374abf3d93dc0ee87f84a00eff46d78829 100644
--- a/paddle/gserver/dataproviders/DataProvider.h
+++ b/paddle/gserver/dataproviders/DataProvider.h
@@ -308,7 +308,8 @@ public:
   /**
    * @brief create only used for unittest.
    */
-  inline static DataProvider* create(const DataConfig &config, bool useGpu) {
+  inline static DataProvider* create(const DataConfig &config,
+                                     bool useGpu = FLAGS_use_gpu) {
     return create(config, ModelConfig(), useGpu);
   }
 
diff --git a/paddle/internals/scripts/docs.sh b/paddle/internals/scripts/docs.sh
new file mode 100755
index 0000000000000000000000000000000000000000..517405c120a47a600bc91bb72f34fa606f18f160
--- /dev/null
+++ b/paddle/internals/scripts/docs.sh
@@ -0,0 +1,20 @@
+#!/bin/bash
+# Copyright (c) 2016 Baidu, Inc. All Rights Reserved
+
+cd `dirname $0`
+
+# Add set -e, cd to directory.
+set -e
+mkdir -p $PWD/../../../build
+cd $PWD/../../../build
+
+# Compile Documentation only.
+cmake .. -DCMAKE_BUILD_TYPE=Debug -DWITH_GPU=OFF -DWITH_DOC=ON
+make paddle_docs paddle_docs_cn
+
+# remove old docs. mv new docs in deeplearning.baidu.com
+scp -r doc/html paddle_doc@yq01-idl-gpu-offline42.yq01.baidu.com:/home/paddle_doc/www/doc_new
+ssh paddle_doc@yq01-idl-gpu-offline42.yq01.baidu.com "cd ~/www/ && rm -r doc && mv doc_new doc"
+
+scp -r doc_cn/html paddle_doc@yq01-idl-gpu-offline42.yq01.baidu.com:/home/paddle_doc/www/doc_cn_new
+ssh paddle_doc@yq01-idl-gpu-offline42.yq01.baidu.com "cd ~/www/ && rm -r doc_cn && mv doc_cn_new doc_cn"
diff --git a/paddle/pserver/PserverForPython.h b/paddle/pserver/PserverForPython.h
deleted file mode 100644
index 5bbeae8bd8b97357462565233d023e18306f35e0..0000000000000000000000000000000000000000
--- a/paddle/pserver/PserverForPython.h
+++ /dev/null
@@ -1,116 +0,0 @@
-/* Copyright (c) 2016 Baidu, Inc. 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. */
-
-#pragma once
-#include "paddle/pserver/ParameterClient.h"
-#include "paddle/pserver/ParameterServer.h"
-#include "paddle/parameter/Parameter.h"
-#include <Python.h>
-
-namespace paddle {
-
-struct PyObjectDeleter {
-  void operator()(PyObject* obj) {
-    if (obj) {
-      Py_DECREF(obj);
-    }
-  }
-};
-
-class ParameterClientPy : public ParameterClient {
-protected:
-  typedef std::unique_ptr<PyObject, PyObjectDeleter> PyObjectPtr;
-
-  std::vector<ParameterPtr> parameter_;
-  int initArgc_;
-  char** initArgv_;
-
-public:
-  ParameterClientPy(std::vector<std::string> configs, int argc,
-                    std::vector<std::string> argv, bool useGpu) {
-    initArgc_ = argc;
-    initArgv_ = new char* [argc];
-    for (int i = 0; i < argc; i++) {
-      initArgv_[i] = new char[argv[i].size()];
-      strcpy(initArgv_[i],      // NOLINT
-             argv[i].c_str());  // NOLINT TODO(yuyang18): use snprintf instead.
-    }
-    ParameterConfig pyConfig;
-    ParameterPtr param;
-    for (auto& config : configs) {
-      pyConfig.ParseFromString(config);
-      param.reset(new Parameter(pyConfig, useGpu));
-      parameter_.push_back(param);
-    }
-    Py_Initialize();
-    CHECK(Py_IsInitialized());
-  }
-
-  ~ParameterClientPy() {
-    delete initArgv_;
-    Py_Finalize();
-  }
-
-  Parameter getParameter(int idx) { return *(parameter_[idx].get()); }
-
-  void initClientPy() {
-    initMain(initArgc_, initArgv_);
-    CHECK(init(parameter_)) << "Init Client Failed.";
-  }
-
-  void setConfigPy(std::string config) {
-    OptimizationConfig optConfig;
-    optConfig.ParseFromString(config);
-    setConfig(optConfig);
-  }
-
-  bool inStatusPy(int status) { return inStatus(PServerStatus(status)); }
-
-  void setStatusPy(int status) { setStatus(PServerStatus(status)); }
-
-  void waitForStatusPy(int status) { waitForStatus(PServerStatus(status)); }
-
-  void sendParameterPy(int updateMode, int parameterType, int numSamples,
-                       real cost, bool sendBackParameter) {
-    sendParameter(ParameterUpdateMode(updateMode), ParameterType(parameterType),
-                  int64_t(numSamples), real(cost), sendBackParameter);
-  }
-
-  template <class ProtoIn, class ProtoOut>
-  std::string asyncCallPy(const char* serviceName, const char* funcName,
-                          const std::string in) {
-    ProtoIn protoIn;
-    ProtoOut protoOut;
-    std::mutex waitLock;
-    std::string data;
-    protoIn.ParseFromString(in);
-    waitLock.lock();
-    auto callback = [&](ProtoOut* pOut, bool isSuccessful) {
-      if (isSuccessful) {
-        pOut->SerializeToString(&data);
-      } else {
-        LOG(INFO) << "Async Talk Failed.";
-      }
-      waitLock.unlock();
-    };
-
-    ubClient_.asyncCall<ProtoIn, ProtoOut>(serviceName, funcName, protoIn,
-                                           &protoOut, callback);
-    waitLock.lock();
-    protoOut.SerializeToString(&data);
-    return data;
-  }
-};
-
-}  // namespace paddle