fix dead link

Change-Id: Id0804d03fc15529a8cf0b13c9e97d628103f5cec

doc/demo/embedding_model/index.md

@@ -93,7 +93,7 @@ where `train.sh` is almost the same as `demo/seqToseq/translation/train.sh`, the
 - `--init_model_path`: path of the initialization model, here is `data/paraphrase_model`
 - `--load_missing_parameter_strategy`: operations when model file is missing, here use a normal distibution to initialize the other parameters except for the embedding layer
 
-For users who want to understand the dataset format, model architecture and training procedure in detail, please refer to [Text generation Tutorial](text_generation.md).
+For users who want to understand the dataset format, model architecture and training procedure in detail, please refer to [Text generation Tutorial](../text_generation/text_generation.md).
 
 ## Optional Function ##
 ###  Embedding Parameters Observation

doc/demo/rec/ml_regression.rst

@@ -291,7 +291,7 @@ It just start a paddle training process, write the log to `log.txt`,
 then print it on screen.
 
 Each command line argument in :code:`run.sh`, please refer to the `command line
-arguments <TBD>`_ page. The short description of these arguments is shown as follow.
+arguments <../../ui/index.html#command-line-argument>`_ page. The short description of these arguments is shown as follow.
 
 *  config\: Tell paddle which file is neural network configuration.
 *  save_dir\: Tell paddle save model into './output'
@@ -303,8 +303,6 @@ arguments <TBD>`_ page. The short description of these arguments is shown as fol
 *  dot_period\: Print a :code:`.` after train :code:`dot_period` batches.
 *  num_passes\: Train at most :code:`num_passes`.
 
-
-
 If training process starts successfully, the output likes follow:
 
 ..  code-block:: text

doc_cn/demo/index.rst

@@ -4,23 +4,23 @@
 图像
 ''''
 
-* `图像分类 <http://www.paddlepaddle.org/doc/demo/image_classification/index.html>`_
+* `图像分类 <../..doc/demo/image_classification/index.html>`_
 
 自然语言处理
 ''''''''''''
 
-* `情感分析 <http://www.paddlepaddle.org/doc/demo/sentiment_analysis/index.html>`_
-* `文本生成 <http://www.paddlepaddle.org/doc/demo/text_generation/index.html>`_
-* `词性标注 <http://www.paddlepaddle.org/doc/demo/semantic_role_labeling/index.html>`_
+* `情感分析 <../../doc/demo/sentiment_analysis/index.html>`_
+* `文本生成 <../../doc/demo/text_generation/index.html>`_
+* `词性标注 <../../doc/demo/semantic_role_labeling/index.html>`_
 
 推荐
 ''''
 
-* `MovieLens数据集 <http://www.paddlepaddle.org/doc/demo/rec/ml_dataset.html>`_
-* `MovieLens评分回归 <http://www.paddlepaddle.org/doc/demo/rec/ml_regression.html>`_
+* `MovieLens数据集 <../../doc/demo/rec/ml_dataset.html>`_
+* `MovieLens评分回归 <../../doc/demo/rec/ml_regression.html>`_
 
 常用模型
 ''''''''
 
-* `ImageNet: ResNet <http://www.paddlepaddle.org/doc/demo/imagenet_model/index.html>`_
-* `Embedding: Chinese Word <http://www.paddlepaddle.org/doc/demo/embedding_model/index.html>`_
+* `ImageNet: ResNet <../../doc/demo/imagenet_model/resnet_model.html>`_
+* `Embedding: Chinese Word <../../doc/demo/embedding_model/index.html>`_

python/paddle/trainer_config_helpers/data_sources.py

@@ -14,10 +14,6 @@
 
 """
 Data Sources are helpers to define paddle training data or testing data.
-There are several data attributes will be used by paddle:
-
-- Data ProviderType\: such as Python, Protobuf
-- Data File list\: a single file that contains all data file paths
 """
 from paddle.trainer.config_parser import *
 from .utils import deprecated
@@ -27,8 +23,7 @@ try:
 except ImportError:
     import pickle
 
-__all__ = ['define_py_data_sources',
-           'define_py_data_sources2']
+__all__ = ['define_py_data_sources2']
 
 
 def define_py_data_source(file_list, cls, module,
@@ -50,11 +45,8 @@ def define_py_data_source(file_list, cls, module,
         define_py_data_source("train.list", TrainData, "data_provider", "process",
                               args={"dictionary": dict_name})
 
-    The related data provider can refer to 
-    `here <data_provider/python_case.html#quick-start>`__.
-
     :param data_cls:
-    :param file_list: file list name.
+    :param file_list: file list name, which contains all data file paths
     :type file_list: basestring
     :param cls: Train or Test Class.
     :type cls: TrainData or TestData
@@ -105,25 +97,8 @@ def define_py_data_source(file_list, cls, module,
 def define_py_data_sources(train_list, test_list, module, obj, args=None,
                            train_async=False, data_cls=PyData):
     """
-    Define python Train/Test data sources in one method. If train/test use
-    the same Data Provider configuration, module/obj/args contain one argument,
-    otherwise contain a list or tuple of arguments. For example\:
-
-    ..  code-block:: python
-
-        define_py_data_sources("train.list", "test.list", module="data_provider"
-                               obj="process", args={"dictionary": dict_name})
-
-    Or.
-
-    ..  code-block:: python
-
-        define_py_data_sources("train.list", "test.list", module="data_provider"
-                               obj=["process_train", "process_test"],
-                               args=[{"dictionary": dict_train}, {"dictionary": dict_test}])
-
-    The related data provider can refer to 
-    `here <data_provider/python_case.html#sequence-example>`__.
+    The annotation is almost the same as define_py_data_sources2, except that
+    it can specific train_async and data_cls.
 
     :param data_cls: 
     :param train_list: Train list name.
@@ -183,6 +158,43 @@ def define_py_data_sources(train_list, test_list, module, obj, args=None,
 
 
 def define_py_data_sources2(train_list, test_list, module, obj, args=None):
+    """
+    Define python Train/Test data sources in one method. If train/test use
+    the same Data Provider configuration, module/obj/args contain one argument,
+    otherwise contain a list or tuple of arguments. For example\:
+
+    ..  code-block:: python
+
+        define_py_data_sources2(train_list="train.list", 
+                                test_list="test.list", 
+                                module="data_provider"
+                                # if train/test use different configurations,
+                                # obj=["process_train", "process_test"]
+                                obj="process", 
+                                args={"dictionary": dict_name})
+
+    The related data provider can refer to 
+    `here <../../data_provider/pydataprovider2.html#dataprovider-for-the-sequential-model>`__.
+
+    :param train_list: Train list name.
+    :type train_list: basestring
+    :param test_list: Test list name.
+    :type test_list: basestring
+    :param module: python module name. If train and test is different, then
+                   pass a tuple or list to this argument.
+    :type module: basestring or tuple or list
+    :param obj: python object name. May be a function name if using
+                PyDataProviderWrapper. If train and test is different, then pass
+                a tuple or list to this argument.
+    :type obj: basestring or tuple or list
+    :param args: The best practice is using dict() to pass arguments into
+                 DataProvider, and use :code:`@init_hook_wrapper` to receive 
+                 arguments. If train and test is different, then pass a tuple 
+                 or list to this argument.
+    :type args: string or picklable object or list or tuple.
+    :return: None
+    :rtype: None
+    """
     define_py_data_sources(train_list=train_list,
                            test_list=test_list,
                            module=module,