Zq 1.6 (#1583)

* fix_content_cn (#1579)

fix-contents_cn

* fix-apis-develop

* fix-one-error

doc/fluid/api/average.rst

-=============
-fluid.average
-=============
-
-..  toctree::
-    :maxdepth: 1
-
-    average/WeightedAverage.rst

doc/fluid/api/average/WeightedAverage.rst

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-.. _api_fluid_average_WeightedAverage:
-
-WeightedAverage
----------------
-
-..  autoclass:: paddle.fluid.average.WeightedAverage
-    :members:
-    :inherited-members:
-    :noindex:
-

doc/fluid/api/data_feeder.rst

-=================
-fluid.data_feeder
-=================
-
-..  toctree::
-    :maxdepth: 1
-
-    data_feeder/DataFeeder.rst

doc/fluid/api/data_feeder/DataFeeder.rst

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-.. _api_fluid_data_feeder_DataFeeder:
-
-DataFeeder
-----------
-
-..  autoclass:: paddle.fluid.data_feeder.DataFeeder
-    :members:
-    :inherited-members:
-    :noindex:
-

doc/fluid/api/dygraph.rst

@@ -14,7 +14,6 @@ fluid.dygraph
     dygraph/Conv3DTranspose.rst
     dygraph/CosineDecay.rst
     dygraph/Embedding.rst
-    dygraph/enabled.rst
     dygraph/ExponentialDecay.rst
     dygraph/FC.rst
     dygraph/GroupNorm.rst
@@ -24,22 +23,17 @@ fluid.dygraph
     dygraph/Layer.rst
     dygraph/LayerNorm.rst
     dygraph/load_dygraph.rst
-    dygraph/load_persistables.rst
     dygraph/NaturalExpDecay.rst
     dygraph/NCE.rst
     dygraph/no_grad.rst
     dygraph/NoamDecay.rst
-    dygraph/not_support.rst
     dygraph/PiecewiseDecay.rst
     dygraph/PolynomialDecay.rst
     dygraph/Pool2D.rst
     dygraph/PRelu.rst
     dygraph/prepare_context.rst
     dygraph/save_dygraph.rst
-    dygraph/save_persistables.rst
     dygraph/SpectralNorm.rst
-    dygraph/start_gperf_profiler.rst
-    dygraph/stop_gperf_profiler.rst
     dygraph/to_variable.rst
     dygraph/Tracer.rst
     dygraph/TreeConv.rst

doc/fluid/api/dygraph/enabled.rst

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-.. _api_fluid_dygraph_enabled:
-
-enabled
--------
-
-..  autofunction:: paddle.fluid.dygraph.enabled
-    :noindex:
-

doc/fluid/api/dygraph/load_persistables.rst

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-.. _api_fluid_dygraph_load_persistables:
-
-load_persistables
------------------
-
-..  autofunction:: paddle.fluid.dygraph.load_persistables
-    :noindex:
-

doc/fluid/api/dygraph/not_support.rst

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-.. _api_fluid_dygraph_not_support:
-
-not_support
------------
-
-..  autofunction:: paddle.fluid.dygraph.not_support
-    :noindex:
-

doc/fluid/api/dygraph/save_persistables.rst

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-.. _api_fluid_dygraph_save_persistables:
-
-save_persistables
------------------
-
-..  autofunction:: paddle.fluid.dygraph.save_persistables
-    :noindex:
-

doc/fluid/api/dygraph/start_gperf_profiler.rst

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-.. _api_fluid_dygraph_start_gperf_profiler:
-
-start_gperf_profiler
---------------------
-
-..  autofunction:: paddle.fluid.dygraph.start_gperf_profiler
-    :noindex:
-

doc/fluid/api/dygraph/stop_gperf_profiler.rst

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-.. _api_fluid_dygraph_stop_gperf_profiler:
-
-stop_gperf_profiler
--------------------
-
-..  autofunction:: paddle.fluid.dygraph.stop_gperf_profiler
-    :noindex:
-

doc/fluid/api/gen_doc.sh

@@ -10,7 +10,7 @@
 #  python gen_doc.py --module_name layers.${module} --module_prefix layers --output layers/${module}.rst
 #done 
 
-for module in layers data_feeder dataset clip metrics executor initializer io nets optimizer profiler regularizer transpiler backward average profiler unique_name dygraph
+for module in layers dataset clip metrics executor initializer io nets optimizer profiler regularizer transpiler backward profiler unique_name dygraph
 do
   python gen_doc.py --module_name ${module} --module_prefix ${module} --output ${module} --to_multiple_files True
   python gen_module_index.py ${module}  fluid.${module}

doc/fluid/api/index_en.rst

@@ -8,12 +8,10 @@ API Reference
     ../flags_en.rst
     ../api_guides/index_en.rst
     fluid.rst
-    average.rst
     backward.rst
     clip.rst
     data/data_reader.rst
     data/dataset.rst
-    data_feeder.rst
     dataset.rst
     dygraph.rst
     executor.rst

doc/fluid/api/io.rst

@@ -12,7 +12,6 @@ fluid.io
     io/compose.rst
     io/ComposeNotAligned.rst
     io/DataLoader.rst
-    io/Fake.rst
     io/firstn.rst
     io/load.rst
     io/load_inference_model.rst

doc/fluid/api/io/Fake.rst

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-.. _api_fluid_io_Fake:
-
-Fake
-----
-
-..  autoclass:: paddle.fluid.io.Fake
-    :members:
-    :inherited-members:
-    :noindex:
-

doc/fluid/api/io/PipeReader.rst

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-.. _api_fluid_io_PipeReader:
-
-PipeReader
---------
-
-..  autoclass:: paddle.fluid.io.PipeReader
-    :members:
-    :inherited-members:
-    :noindex:
-

doc/fluid/api/layers.rst

@@ -70,7 +70,6 @@ fluid.layers
     layers/deformable_conv.rst
     layers/deformable_roi_pooling.rst
     layers/density_prior_box.rst
-    layers/detection_map.rst
     layers/detection_output.rst
     layers/diag.rst
     layers/dice_loss.rst
@@ -97,6 +96,7 @@ fluid.layers
     layers/equal.rst
     layers/exp.rst
     layers/expand.rst
+    layers/expand_as.rst
     layers/exponential_decay.rst
     layers/eye.rst
     layers/fc.rst
@@ -164,7 +164,6 @@ fluid.layers
     layers/lstm_unit.rst
     layers/LSTMCell.rst
     layers/margin_rank_loss.rst
-    layers/match_matrix_tensor.rst
     layers/matmul.rst
     layers/maxout.rst
     layers/mean.rst
@@ -174,7 +173,6 @@ fluid.layers
     layers/mul.rst
     layers/multi_box_head.rst
     layers/multiclass_nms.rst
-    layers/multiclass_nms2.rst
     layers/multiplex.rst
     layers/MultivariateNormalDiag.rst
     layers/natural_exp_decay.rst
@@ -301,7 +299,6 @@ fluid.layers
     layers/thresholded_relu.rst
     layers/topk.rst
     layers/transpose.rst
-    layers/tree_conv.rst
     layers/unfold.rst
     layers/Uniform.rst
     layers/uniform_random.rst
@@ -310,7 +307,6 @@ fluid.layers
     layers/unique_with_counts.rst
     layers/unsqueeze.rst
     layers/unstack.rst
-    layers/var_conv_2d.rst
     layers/warpctc.rst
     layers/where.rst
     layers/While.rst

doc/fluid/api/layers/detection_map.rst

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-.. _api_fluid_layers_detection_map:
-
-detection_map
--------------
-
-..  autofunction:: paddle.fluid.layers.detection_map
-    :noindex:
-

doc/fluid/api/layers/tree_conv.rst → doc/fluid/api/layers/expand_as.rst

 ..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
     !DO NOT EDIT THIS FILE MANUALLY!
 
-.. _api_fluid_layers_tree_conv:
+.. _api_fluid_layers_expand_as:
 
-tree_conv
+expand_as
 ---------
 
-..  autofunction:: paddle.fluid.layers.tree_conv
+..  autofunction:: paddle.fluid.layers.expand_as
     :noindex:
 

doc/fluid/api/layers/match_matrix_tensor.rst

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-.. _api_fluid_layers_match_matrix_tensor:
-
-match_matrix_tensor
--------------------
-
-..  autofunction:: paddle.fluid.layers.match_matrix_tensor
-    :noindex:
-

doc/fluid/api/layers/multiclass_nms2.rst

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-.. _api_fluid_layers_multiclass_nms2:
-
-multiclass_nms2
----------------
-
-..  autofunction:: paddle.fluid.layers.multiclass_nms2
-    :noindex:
-

doc/fluid/api/layers/var_conv_2d.rst

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-.. _api_fluid_layers_var_conv_2d:
-
-var_conv_2d
------------
-
-..  autofunction:: paddle.fluid.layers.var_conv_2d
-    :noindex:
-

doc/fluid/api_cn/average_cn.rst

-=======================
-fluid.average
-=======================
-
-
-
-
-..  toctree::
-    :maxdepth: 1
-
-    average_cn/WeightedAverage_cn.rst

doc/fluid/api_cn/average_cn/WeightedAverage_cn.rst

-.. _cn_api_fluid_average_WeightedAverage:
-
-WeightedAverage
--------------------------------
-
-.. py:class:: paddle.fluid.average.WeightedAverage
-
-计算加权平均值。
-
-平均计算完全通过Python完成。它们不会改变Paddle的程序，也不会修改NN模型的配置。它们完全是Python函数的包装器。
-
-**示例代码**
-
-.. code-block:: python
-
-            import paddle.fluid as fluid
-            avg = fluid.average.WeightedAverage()
-            avg.add(value=2.0, weight=1)
-            avg.add(value=4.0, weight=2)
-            avg.eval()
-            # 结果为 3.333333333.
-            # 因为 (2.0 * 1 + 4.0 * 2) / (1 + 2) = 3.333333333
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-

doc/fluid/api_cn/data_feeder_cn.rst

-=======================
-fluid.data_feeder
-=======================
-
-
-
-
-..  toctree::
-    :maxdepth: 1
-
-    data_feeder_cn/DataFeeder_cn.rst

doc/fluid/api_cn/data_feeder_cn/DataFeeder_cn.rst

-.. _cn_api_fluid_data_feeder_DataFeeder:
-
-DataFeeder
--------------------------------
-
-.. py:class:: paddle.fluid.data_feeder.DataFeeder(feed_list, place, program=None)
-
-
-``DataFeeder`` 负责将reader(数据读取函数)返回的数据转换为可以被 ``Executor`` 和 ``ParallelExecutor`` 解析的数据结构 - 用作executor的feed参数
-reader通常是一个用来从文件中读取/生成数据样本的自定义python生成器，该函数通常会返回一个包含样本实例数据的列表。
-
-参数：
-    - **feed_list** (list) – 向模型输入的变量列表或者变量名列表
-    - **place** (:ref:`cn_api_fluid_CPUPlace` | :ref:`cn_api_fluid_CUDAPlace` ) – place表明是向GPU还是CPU中输入数据。如果想向GPU中输入数据, 请使用 ``fluid.CUDAPlace(i)`` (i 代表 the GPU id)；如果向CPU中输入数据, 请使用  ``fluid.CPUPlace()``
-    - **program** (:ref:`cn_api_fluid_Program` ) – 需要向其中输入数据的Program。如果为None, 会默认使用 ``default_main_program()`` 。 缺省值为None
-
-异常情况:   ``ValueError``  – 如果一些变量不在此 Program 中
-
-
-**代码示例**
-
-.. code-block:: python
-
-    import numpy as np
-    import paddle
-    import paddle.fluid as fluid
-    
-    place = fluid.CPUPlace()
-    def reader():
-        for _ in range(4):
-            yield np.random.random([4]).astype('float32'), np.random.random([3]).astype('float32'),
-    
-    main_program = fluid.Program()
-    startup_program = fluid.Program()
-    
-    with fluid.program_guard(main_program, startup_program):
-        data_1 = fluid.layers.data(name='data_1', shape=[-1, 2, 2])
-        data_2 = fluid.layers.data(name='data_2', shape=[-1, 1, 3])
-        out = fluid.layers.fc(input=[data_1, data_2], size=2)
-        # ...
-    feeder = fluid.DataFeeder([data_1, data_2], place)
-    
-    exe = fluid.Executor(place)
-    exe.run(startup_program)
-    
-    feed_data = feeder.feed(reader())
-    
-    # print feed_data to view feed results
-    # print(feed_data['data_1'])
-    # print(feed_data['data_2'])
-    
-    outs = exe.run(program=main_program,
-                    feed=feed_data,
-                    fetch_list=[out])
-    print(outs)
-
-
-.. py:method:: feed(iterable)
-
-
-根据创建DataFeeder时候传入的feed_list(变量列表) 和iterable (自定义python生成器) 将原始数据转换为tensor结构
-
-参数:
-    - **iterable** (generator) – 自定义的python生成器，用来获取原始输入数据
-
-返回：以变量名为key，tensor为value的dict
-
-返回类型: dict
-
-**代码示例**
-
-.. code-block:: python
-
-    # 本示例中，reader函数会返回一个长度为3的数组，每个元素都是ndarray类型，
-    # 分别对应data_1, data_2, data_3的原始数据
-
-    # feed函数内部会将每个传入的ndarray转换为Paddle内部用于计算的tensor结构
-    # 返回的结果是一个size为3的dict，key分别为data_1, data_2, data_3
-    # result['data_1']  为一个shape 为 [5, 2, 1, 3] 的LoD-tensor  其中5为batch size, [2, 1, 3]为data_1的shape
-    # result['data_2'], result['data_3']以此类推
-
-    import numpy as np
-    import paddle.fluid as fluid
-    
-    def reader(limit=5):
-        for i in range(1, limit + 1):
-            yield np.ones([6]).astype('float32') * i , np.ones([1]).astype('int64') * i, np.random.random([9]).astype('float32')
-    
-    data_1 = fluid.layers.data(name='data_1', shape=[2, 1, 3])
-    data_2 = fluid.layers.data(name='data_2', shape=[1], dtype='int64')
-    data_3 = fluid.layers.data(name='data_3', shape=[3, 3], dtype='float32')
-    feeder = fluid.DataFeeder(['data_1','data_2', 'data_3'], fluid.CPUPlace())
-    
-    
-    result = feeder.feed(reader())
-    print(result['data_1'])
-    print(result['data_2'])
-    print(result['data_3'])
-
-
-.. py:method:: feed_parallel(iterable, num_places=None)
-
-功能类似于 ``feed`` 函数，feed_parallel用于使用多个设备(CPU|GPU)的情况，iterable为自定义的生成器列表，
-列表中的每个生成器返回的数据最后会feed到相对应的设备中
-
-
-参数:
-    - **iterable** (list(generator)) – 自定义的python生成器列表，列表元素个数与num_places保持一致
-    - **num_places** (int) – 设备数目。默认为None。
-
-返回: 返回值为dict的生成器，生成器返回一个键值对为 ``变量名-tensor`` 组成的dict
-
-返回类型: generator
-
-.. note::
-   设备(CPU或GPU)的数目 - ``num-places`` 必须等于 ``iterable`` 参数中的生成器数量
-
-**代码示例**
-
-.. code-block:: python
-
-    import numpy as np
-    import paddle.fluid as fluid
-    
-    def generate_reader(batch_size, base=0, factor=1):
-        def _reader():
-            for i in range(batch_size):
-                yield np.ones([4]) * factor + base, np.ones([4]) * factor + base + 5
-        return _reader()
-    
-    x = fluid.layers.data(name='x', shape=[-1, 2, 2])
-    y = fluid.layers.data(name='y', shape=[-1, 2, 2], dtype='float32')
-    
-    z = fluid.layers.elementwise_add(x, y)
-    
-    feeder = fluid.DataFeeder(['x','y'], fluid.CPUPlace())
-    place_num = 2
-    places = [fluid.CPUPlace() for x in range(place_num)]
-    data = []
-    exe = fluid.Executor(fluid.CPUPlace())
-    exe.run(fluid.default_startup_program())
-    program = fluid.CompiledProgram(fluid.default_main_program()).with_data_parallel(places=places)
-    
-    # 打印feed_parallel结果示例
-    # for item in list(feeder.feed_parallel([generate_reader(5, 0, 1), generate_reader(3, 10, 2)], 2)):
-    #     print(item['x'])
-    #     print(item['y'])
-    
-    reader_list = [generate_reader(5, 0, 1), generate_reader(3, 10, 2)]
-    res = exe.run(program=program, feed=list(feeder.feed_parallel(reader_list, 2)), fetch_list=[z])
-    print(res)
-
-
-.. py:method::  decorate_reader(reader, multi_devices, num_places=None, drop_last=True)
-
-
-将reader返回的输入数据batch转换为多个mini-batch，之后每个mini-batch都会被输入进各个设备（CPU或GPU）中。
-    
-参数：
-        - **reader** (generator) – 一个用来自定义返回mini-batch的生成器，一个返回实例数据的reader可视为一个mini-batch(如下面例子中的 ``_mini_batch`` )
-        - **multi_devices** (bool) – 指明是否使用多个设备
-        - **num_places** (int，可选) – 如果 ``multi_devices`` 为 ``True`` , 可以使用此参数来设置设备数目。如果 ``num_places`` 为 ``None`` ，该函数默认使用当前训练机所有设备。默认为None。
-        - **drop_last** (bool, 可选) – 如果最后一组数据的数量比设备数要小，则可使用该参数来指明是否选择丢弃最后一个组数据。 默认为 ``True``
-
-返回：一个装饰之后的生成器，该生成器会返回匹配num_places数量的tensor数据列表
-
-返回类型：generator
-
-异常情况： ValueError – 如果 ``drop_last`` 值为False并且最后一组数据的minibatch数目与设备数目不相等时，产生此异常
-
-**代码示例**
-
-.. code-block:: python
-
-    import numpy as np
-    import paddle
-    import paddle.fluid as fluid
-    import paddle.fluid.compiler as compiler
-
-    def reader():
-        def _mini_batch(batch_size):
-            for i in range(batch_size):
-                yield np.random.random([16]).astype('float32'), np.random.randint(10, size=[1])
-
-        for _ in range(10):
-            yield _mini_batch(np.random.randint(1, 10))
-
-    place_num = 3
-    places = [fluid.CPUPlace() for _ in range(place_num)]
-    data = fluid.layers.data(name='data', shape=[-1, 4, 4], dtype='float32')
-    label = fluid.layers.data(name='label', shape=[-1, 1], dtype='int64')
-
-    hidden = fluid.layers.fc(input=data, size=10)
-
-    feeder = fluid.DataFeeder(place=places[0], feed_list=[data, label])
-    reader = feeder.decorate_reader(reader, multi_devices=True, num_places=3, drop_last=True)
-
-    exe = fluid.Executor(places[0])
-    exe.run(fluid.default_startup_program())
-    compiled_prog = compiler.CompiledProgram(
-             fluid.default_main_program()).with_data_parallel(places=places)
-    for i,data in enumerate(reader()):
-        ret = exe.run(compiled_prog, feed=data, fetch_list=[hidden])
-        print(ret)
-

doc/fluid/api_cn/dygraph_cn.rst

@@ -29,12 +29,14 @@ fluid.dygraph
     dygraph_cn/NaturalExpDecay_cn.rst
     dygraph_cn/NCE_cn.rst
     dygraph_cn/NoamDecay_cn.rst
-    dygraph_cn/no_grad_cn.rst
+    dygraph_cn/no_grad_cn.rst    
     dygraph_cn/PiecewiseDecay_cn.rst
     dygraph_cn/PolynomialDecay_cn.rst
     dygraph_cn/Pool2D_cn.rst
     dygraph_cn/PRelu_cn.rst
+    dygraph_cn/prepare_context_cn.rst  
     dygraph_cn/save_dygraph_cn.rst
     dygraph_cn/SpectralNorm_cn.rst
     dygraph_cn/to_variable_cn.rst
+    dygraph_cn/Tracer_cn.rst
     dygraph_cn/TreeConv_cn.rst

doc/fluid/api_cn/fluid_cn.rst

@@ -31,6 +31,9 @@ fluid
     fluid_cn/global_scope_cn.rst
     fluid_cn/gradients_cn.rst
     fluid_cn/in_dygraph_mode_cn.rst
+    fluid_cn/is_compiled_with_cuda_cn.rst
+    fluid_cn/load_cn.rst
+    fluid_cn/load_op_library_cn.rst
     fluid_cn/LoDTensor_cn.rst
     fluid_cn/LoDTensorArray_cn.rst
     fluid_cn/memory_optimize_cn.rst
@@ -41,6 +44,8 @@ fluid
     fluid_cn/Program_cn.rst
     fluid_cn/program_guard_cn.rst
     fluid_cn/release_memory_cn.rst
+    fluid_cn/require_version_cn.rst
+    fluid_cn/save_cn.rst
     fluid_cn/scope_guard_cn.rst
     fluid_cn/Tensor_cn.rst
     fluid_cn/Variable_cn.rst

doc/fluid/api_cn/io_cn.rst

@@ -14,7 +14,9 @@ fluid.io
     io_cn/cache_cn.rst
     io_cn/chain_cn.rst
     io_cn/compose_cn.rst
-    io_cn/Fake_cn.rst
+    io_cn/ComposeNotAligned_cn.rst
+    io_cn/DataLoader_cn.rst    
+    io_cn/Fake_cn.rst   
     io_cn/firstn_cn.rst
     io_cn/load_cn.rst
     io_cn/load_inference_model_cn.rst
@@ -23,7 +25,6 @@ fluid.io
     io_cn/load_vars_cn.rst
     io_cn/map_readers_cn.rst
     io_cn/multiprocess_reader_cn.rst
-    io_cn/PipeReader_cn.rst
     io_cn/PyReader_cn.rst
     io_cn/save_cn.rst
     io_cn/save_inference_model_cn.rst

doc/fluid/api_cn/layers_cn.rst

@@ -74,7 +74,6 @@ fluid.layers
     layers_cn/deformable_conv_cn.rst
     layers_cn/deformable_roi_pooling_cn.rst
     layers_cn/density_prior_box_cn.rst
-    layers_cn/detection_map_cn.rst
     layers_cn/detection_output_cn.rst
     layers_cn/diag_cn.rst
     layers_cn/dice_loss_cn.rst
@@ -102,6 +101,7 @@ fluid.layers
     layers_cn/equal_cn.rst
     layers_cn/exp_cn.rst
     layers_cn/expand_cn.rst
+    layers_cn/expend_as_cn.rst
     layers_cn/exponential_decay_cn.rst
     layers_cn/eye_cn.rst
     layers_cn/fc_cn.rst
@@ -202,6 +202,7 @@ fluid.layers
     layers_cn/prelu_cn.rst
     layers_cn/Print_cn.rst
     layers_cn/prior_box_cn.rst
+    layers_cn/prroi_pool_cn.rst
     layers_cn/psroi_pool_cn.rst
     layers_cn/py_func_cn.rst
     layers_cn/py_reader_cn.rst

doc/fluid/api_cn/optimizer_cn.rst

@@ -19,18 +19,20 @@ fluid.optimizer
     optimizer_cn/DecayedAdagrad_cn.rst
     optimizer_cn/DecayedAdagradOptimizer_cn.rst
     optimizer_cn/DGCMomentumOptimizer_cn.rst
+    optimizer_cn/Dpsgd_cn.rst
+    optimizer_cn/DpsgdOptimizer_cn.rst
     optimizer_cn/ExponentialMovingAverage_cn.rst
     optimizer_cn/Ftrl_cn.rst
     optimizer_cn/FtrlOptimizer_cn.rst
     optimizer_cn/LambOptimizer_cn.rst
     optimizer_cn/LarsMomentum_cn.rst
     optimizer_cn/LarsMomentumOptimizer_cn.rst
+    optimizer_cn/LookaheadOptimizer_cn.rst
     optimizer_cn/ModelAverage_cn.rst
     optimizer_cn/Momentum_cn.rst
     optimizer_cn/MomentumOptimizer_cn.rst
     optimizer_cn/PipelineOptimizer_cn.rst
+    optimizer_cn/RecomputeOptimizer_cn.rst
     optimizer_cn/RMSPropOptimizer_cn.rst
     optimizer_cn/SGD_cn.rst
     optimizer_cn/SGDOptimizer_cn.rst
-    optimizer_cn/LookaheadOptimizer_cn.rst
-    optimizer_cn/RecomputeOptimizer_cn.rst