Deploy to GitHub Pages: 4f4abfa3

develop/doc/_sources/api/index_en.rst.txt

-API
-===
-
-..  toctree::
-    :maxdepth: 1
-
-    v2/model_configs.rst
-    v2/data.rst
-    v2/run_logic.rst
-    v2/fluid.rst

develop/doc/_sources/api/v2/config/activation.rst.txt

-===========
-Activation
-===========
-
-Abs
-===
-
-..  automodule:: paddle.v2.activation
-    :members: Abs
-    :noindex:
-    
-Exp
-===
-
-..  automodule:: paddle.v2.activation
-    :members: Exp
-    :noindex:
-    
-Identity
-========
-
-..  automodule:: paddle.v2.activation
-    :members: Identity
-    :noindex:
-    
-Linear
-======
-
-..  automodule:: paddle.v2.activation
-    :members: Linear
-    :noindex:
-
-Log
-===
-
-..  automodule:: paddle.v2.activation
-    :members: Log
-    :noindex:
-    
-Square
-======
-
-..  automodule:: paddle.v2.activation
-    :members: Square
-    :noindex:
-    
-Sigmoid
-=======
-
-..  automodule:: paddle.v2.activation
-    :members: Sigmoid
-    :noindex:
-    
-Softmax
-=======
-
-..  automodule:: paddle.v2.activation
-    :members: Softmax
-    :noindex:
-    
-SequenceSoftmax
-===============
-
-..  automodule:: paddle.v2.activation
-    :members: SequenceSoftmax
-    :noindex:
-    
-Relu
-====
-
-..  automodule:: paddle.v2.activation
-    :members: Relu
-    :noindex:
-    
-BRelu
-=====
-
-..  automodule:: paddle.v2.activation
-    :members: BRelu
-    :noindex:
-    
-SoftRelu
-========
-
-..  automodule:: paddle.v2.activation
-    :members: SoftRelu
-    :noindex:
-    
-Tanh
-====
-
-..  automodule:: paddle.v2.activation
-    :members: Tanh
-    :noindex:
-    
-STanh
-=====
-
-..  automodule:: paddle.v2.activation
-    :members: STanh
-    :noindex:
-    
-SoftSign
-========
-
-..  automodule:: paddle.v2.activation
-    :members: SoftSign
-    :noindex:

develop/doc/_sources/api/v2/config/attr.rst.txt

-Parameter Attribute
-===================
-
-..  automodule:: paddle.v2.attr
-    :members:
-    :noindex:

develop/doc/_sources/api/v2/config/evaluators.rst.txt

-..  _api_v2:
-
-==========
-Evaluators
-==========
-
-Classification 
-==============
-
-classification_error
---------------------
-..  automodule:: paddle.v2.evaluator
-    :members: classification_error
-    :noindex:
-
-auc
----
-..  automodule:: paddle.v2.evaluator
-    :members: auc
-    :noindex:
-
-ctc_error
----------
-..  automodule:: paddle.v2.evaluator
-    :members: ctc_error
-    :noindex:
-
-chunk
------
-..  automodule:: paddle.v2.evaluator
-    :members: chunk
-    :noindex:
-
-precision_recall
-----------------
-..  automodule:: paddle.v2.evaluator
-    :members:  precision_recall
-    :noindex:
-
-Rank
-====
-
-pnpair
-------
-..  automodule:: paddle.v2.evaluator
-    :members:  pnpair
-    :noindex:
-
-Utils
-=====
-
-sum
----
-..  automodule:: paddle.v2.evaluator
-    :members: sum
-    :noindex:
-
-column_sum
-----------
-..  automodule:: paddle.v2.evaluator
-    :members: column_sum
-    :noindex:
-
-Print
-=====
-
-classification_error_printer
-----------------------------
-..  automodule:: paddle.v2.evaluator
-    :members:  classification_error_printer
-    :noindex:
-
-gradient_printer
-----------------
-..  automodule:: paddle.v2.evaluator
-    :members:  gradient_printer
-    :noindex:
-
-maxid_printer
--------------
-..  automodule:: paddle.v2.evaluator
-    :members:  maxid_printer
-    :noindex:
-
-maxframe_printer
-----------------
-..  automodule:: paddle.v2.evaluator
-    :members:  maxframe_printer
-    :noindex:
-
-seqtext_printer
----------------
-..  automodule:: paddle.v2.evaluator
-    :members:  seqtext_printer
-    :noindex:
-
-value_printer
--------------
-..  automodule:: paddle.v2.evaluator
-    :members:  value_printer
-    :noindex:
-
-Detection
-=====
-
-detection_map
--------------
-..  automodule:: paddle.v2.evaluator
-    :members:  detection_map
-    :noindex:

develop/doc/_sources/api/v2/config/layer.rst.txt

-..  _api_v2.layer:
-
-======
-Layers
-======
-
-Data layer
-===========
-
-..  _api_v2.layer_data:
-
-data
-----
-..  autoclass:: paddle.v2.layer.data
-    :noindex:
-
-Fully Connected Layers
-======================
-
-..  _api_v2.layer_fc:
-
-fc
---
-..  autoclass:: paddle.v2.layer.fc
-    :noindex:
-
-selective_fc
-------------
-..  autoclass:: paddle.v2.layer.selective_fc
-    :noindex:
-
-Conv Layers
-===========
-
-conv_operator
--------------
-..  autoclass:: paddle.v2.layer.conv_operator
-    :noindex:
-
-conv_projection
----------------
-..  autoclass:: paddle.v2.layer.conv_projection
-    :noindex:
-
-conv_shift
-----------
-..  autoclass:: paddle.v2.layer.conv_shift
-    :noindex:
-
-img_conv
---------
-..  autoclass:: paddle.v2.layer.img_conv
-    :noindex:
-
-..  _api_v2.layer_context_projection:
-
-context_projection
-------------------
-..  autoclass:: paddle.v2.layer.context_projection
-    :noindex:
-
-row_conv
---------
-..  autoclass:: paddle.v2.layer.row_conv
-    :noindex:
-
-Image Pooling Layer
-===================
-
-img_pool
---------
-..  autoclass:: paddle.v2.layer.img_pool
-    :noindex:
-
-spp
----
-..  autoclass:: paddle.v2.layer.spp
-    :noindex:
-
-maxout
-------
-..  autoclass:: paddle.v2.layer.maxout
-    :noindex:
-
-roi_pool
---------
-..  autoclass:: paddle.v2.layer.roi_pool
-    :noindex:
-
-pad
-----
-..  autoclass:: paddle.v2.layer.pad
-    :noindex:
-
-Norm Layer
-==========
-
-img_cmrnorm
------------
-..  autoclass:: paddle.v2.layer.img_cmrnorm
-    :noindex:
-
-batch_norm
-----------
-..  autoclass:: paddle.v2.layer.batch_norm
-    :noindex:
-
-sum_to_one_norm
----------------
-..  autoclass:: paddle.v2.layer.sum_to_one_norm
-    :noindex:
-
-cross_channel_norm
-------------------
-..  autoclass:: paddle.v2.layer.cross_channel_norm
-    :noindex:
-
-row_l2_norm
------------
-..  autoclass:: paddle.v2.layer.row_l2_norm
-    :noindex:
-
-Recurrent Layers
-================
-
-recurrent
----------
-..  autoclass:: paddle.v2.layer.recurrent
-    :noindex:
-
-lstmemory
----------
-..  autoclass:: paddle.v2.layer.lstmemory
-    :noindex:
-
-grumemory
----------
-..  autoclass:: paddle.v2.layer.grumemory
-    :noindex:
-
-gated_unit
------------
-..  autoclass:: paddle.v2.layer.gated_unit
-    :noindex:
-    
-Recurrent Layer Group
-=====================
-
-memory
-------
-..  autoclass:: paddle.v2.layer.memory
-    :noindex:
-
-recurrent_group
----------------
-..  autoclass:: paddle.v2.layer.recurrent_group
-    :noindex:
-
-lstm_step
----------
-..  autoclass:: paddle.v2.layer.lstm_step
-    :noindex:
-
-gru_step
---------
-..  autoclass:: paddle.v2.layer.gru_step
-    :noindex:
-
-beam_search
-------------
-..  autoclass:: paddle.v2.layer.beam_search
-    :noindex:
-
-get_output
-----------
-..  autoclass:: paddle.v2.layer.get_output
-    :noindex:
-
-Mixed Layer
-===========
-
-..  _api_v2.layer_mixed:
-
-mixed
------
-..  autoclass:: paddle.v2.layer.mixed
-    :noindex:
-
-..  _api_v2.layer_embedding:
-
-embedding
----------
-..  autoclass:: paddle.v2.layer.embedding
-    :noindex:
-
-scaling_projection
-------------------
-..  autoclass:: paddle.v2.layer.scaling_projection
-    :noindex:
-
-dotmul_projection
------------------
-..  autoclass:: paddle.v2.layer.dotmul_projection
-    :noindex:
-
-dotmul_operator
----------------
-..  autoclass:: paddle.v2.layer.dotmul_operator
-    :noindex:
-
-full_matrix_projection
-----------------------
-..  autoclass:: paddle.v2.layer.full_matrix_projection
-    :noindex:
-
-identity_projection
--------------------
-..  autoclass:: paddle.v2.layer.identity_projection
-    :noindex:
-
-slice_projection
--------------------
-..  autoclass:: paddle.v2.layer.slice_projection
-    :noindex:
-
-table_projection
-----------------
-..  autoclass:: paddle.v2.layer.table_projection
-    :noindex:
-
-trans_full_matrix_projection
-----------------------------
-..  autoclass:: paddle.v2.layer.trans_full_matrix_projection
-    :noindex:
-
-Aggregate Layers
-================
-
-AggregateLevel
---------------
-..  autoclass:: paddle.v2.layer.AggregateLevel
-    :noindex:
-
-..  _api_v2.layer_pooling:
-
-pooling
--------
-..  autoclass:: paddle.v2.layer.pooling
-    :noindex:
-
-..  _api_v2.layer_last_seq:
-
-last_seq
---------
-..  autoclass:: paddle.v2.layer.last_seq
-    :noindex:
-
-..  _api_v2.layer_first_seq:
-
-first_seq
----------
-..  autoclass:: paddle.v2.layer.first_seq
-    :noindex:
-
-sub_seq
----------
-..  autoclass:: paddle.v2.layer.sub_seq
-    :noindex:
-
-concat
-------
-..  autoclass:: paddle.v2.layer.concat
-    :noindex:
-
-seq_concat
-----------
-..  autoclass:: paddle.v2.layer.seq_concat
-    :noindex:
-
-seq_slice
----------
-..  autoclass:: paddle.v2.layer.seq_slice
-    :noindex:
-
-kmax_sequence_score
--------------------
-..  autoclass:: paddle.v2.layer.kmax_sequence_score
-    :noindex:
-
-sub_nested_seq
---------------
-..  autoclass:: paddle.v2.layer.sub_nested_seq
-    :noindex:
-
-Reshaping Layers
-================
-
-block_expand
-------------
-..  autoclass:: paddle.v2.layer.block_expand
-    :noindex:
-
-..  _api_v2.layer_expand:
-
-ExpandLevel
------------
-..  autoclass:: paddle.v2.layer.ExpandLevel
-    :noindex:
-
-expand
-------
-..  autoclass:: paddle.v2.layer.expand
-    :noindex:
-
-repeat
-------
-..  autoclass:: paddle.v2.layer.repeat
-    :noindex:
-
-rotate
-------
-..  autoclass:: paddle.v2.layer.rotate
-    :noindex:
-
-seq_reshape
------------
-..  autoclass:: paddle.v2.layer.seq_reshape
-    :noindex:
-
-Math Layers
-===========
-
-addto
------
-..  autoclass:: paddle.v2.layer.addto
-    :noindex:
-
-linear_comb
------------
-..  autoclass:: paddle.v2.layer.linear_comb
-    :noindex:
-
-interpolation
--------------
-..  autoclass:: paddle.v2.layer.interpolation
-    :noindex:
-
-bilinear_interp
----------------
-..  autoclass:: paddle.v2.layer.bilinear_interp
-    :noindex:
-
-dropout
---------
-..  autoclass:: paddle.v2.layer.dropout
-    :noindex:
-    
-dot_prod
----------
-.. autoclass:: paddle.v2.layer.dot_prod
-    :noindex:
-
-out_prod
---------
-.. autoclass:: paddle.v2.layer.out_prod
-    :noindex:
-
-power
------
-..  autoclass:: paddle.v2.layer.power
-    :noindex:
-
-scaling
--------
-..  autoclass:: paddle.v2.layer.scaling
-    :noindex:
-
-clip
-----
-..  autoclass:: paddle.v2.layer.clip
-    :noindex:
-
-resize
-------
-..  autoclass:: paddle.v2.layer.resize
-    :noindex:
-
-slope_intercept
----------------
-..  autoclass:: paddle.v2.layer.slope_intercept
-    :noindex:
-
-tensor
-------
-..  autoclass:: paddle.v2.layer.tensor
-    :noindex:
-
-..  _api_v2.layer_cos_sim:
-
-cos_sim
--------
-..  autoclass:: paddle.v2.layer.cos_sim
-    :noindex:
-
-l2_distance
------------
-..  autoclass:: paddle.v2.layer.l2_distance
-    :noindex:
-
-trans
------
-..  autoclass:: paddle.v2.layer.trans
-    :noindex:
-
-scale_shift
------------
-..  autoclass:: paddle.v2.layer.scale_shift
-    :noindex:
-
-factorization_machine
----------------------
-..  autoclass:: paddle.v2.layer.factorization_machine
-    :noindex:
-
-Sampling Layers
-===============
-
-maxid
------
-..  autoclass:: paddle.v2.layer.max_id
-    :noindex:
-
-sampling_id
------------
-..  autoclass:: paddle.v2.layer.sampling_id
-    :noindex:
-
-multiplex
----------
-..  autoclass:: paddle.v2.layer.multiplex
-    :noindex:
-
-..  _api_v2.layer_costs:
-
-Cost Layers
-===========
-
-cross_entropy_cost
-------------------
-..  autoclass:: paddle.v2.layer.cross_entropy_cost
-    :noindex:
-
-cross_entropy_with_selfnorm_cost
---------------------------------
-..  autoclass:: paddle.v2.layer.cross_entropy_with_selfnorm_cost
-    :noindex:
-
-multi_binary_label_cross_entropy_cost
--------------------------------------
-..  autoclass:: paddle.v2.layer.multi_binary_label_cross_entropy_cost
-    :noindex:
-
-huber_regression_cost
--------------------------
-..  autoclass:: paddle.v2.layer.huber_regression_cost
-    :noindex:
-
-huber_classification_cost
--------------------------
-..  autoclass:: paddle.v2.layer.huber_classification_cost
-    :noindex:
-
-lambda_cost
------------
-..  autoclass:: paddle.v2.layer.lambda_cost
-    :noindex:
-
-square_error_cost
------------------
-..  autoclass:: paddle.v2.layer.square_error_cost
-    :noindex:
-
-rank_cost
----------
-..  autoclass:: paddle.v2.layer.rank_cost
-    :noindex:
-
-sum_cost
----------
-..  autoclass:: paddle.v2.layer.sum_cost
-    :noindex:
-
-crf
----
-..  autoclass:: paddle.v2.layer.crf
-    :noindex:
-
-crf_decoding
-------------
-..  autoclass:: paddle.v2.layer.crf_decoding
-    :noindex:
-
-ctc
----
-..  autoclass:: paddle.v2.layer.ctc
-    :noindex:
-
-warp_ctc
---------
-..  autoclass:: paddle.v2.layer.warp_ctc
-    :noindex:
-
-nce
----
-..  autoclass:: paddle.v2.layer.nce
-    :noindex:
-
-hsigmoid
----------
-..  autoclass:: paddle.v2.layer.hsigmoid
-    :noindex:
-
-smooth_l1_cost
---------------
-..  autoclass:: paddle.v2.layer.smooth_l1_cost
-    :noindex:
-
-multibox_loss
---------------
-..  autoclass:: paddle.v2.layer.multibox_loss
-    :noindex:
-
-detection_output
-----------------
-..  autoclass:: paddle.v2.layer.detection_output
-    :noindex:
-    
-Check Layer
-============
-
-eos
----
-..  autoclass:: paddle.v2.layer.eos
-    :noindex:
-
-Activation
-==========
-
-prelu
---------
-..  autoclass:: paddle.v2.layer.prelu
-    :noindex:

develop/doc/_sources/api/v2/config/networks.rst.txt

-========
-Networks
-========
-
-The v2.networks module contains pieces of neural network that combine multiple layers.
-
-NLP
-===
-
-sequence_conv_pool
-------------------
-..  automodule:: paddle.v2.networks
-    :members: sequence_conv_pool
-    :noindex:
-
-..  _api_trainer_config_helpers_network_text_conv_pool:
-
-text_conv_pool
---------------
-..  automodule:: paddle.v2.networks
-    :members: text_conv_pool
-    :noindex:
-
-Images
-======
-
-img_conv_bn_pool
-----------------
-..  automodule:: paddle.v2.networks
-    :members: img_conv_bn_pool
-    :noindex:
-
-img_conv_group
---------------
-..  automodule:: paddle.v2.networks
-    :members: img_conv_group
-    :noindex:
-
-..  _api_trainer_config_helpers_network_simple_img_conv_pool:
-
-simple_img_conv_pool
---------------------
-..  automodule:: paddle.v2.networks
-    :members: simple_img_conv_pool
-    :noindex:
-
-small_vgg
----------
-..  automodule:: paddle.v2.networks
-    :members: small_vgg
-    :noindex:
-
-vgg_16_network
----------------
-..  automodule:: paddle.v2.networks
-    :members: vgg_16_network
-    :noindex:
-
-Recurrent
-=========
-
-LSTM
-----
-
-lstmemory_unit
-``````````````
-..  automodule:: paddle.v2.networks
-    :members: lstmemory_unit
-    :noindex:
-
-lstmemory_group
-```````````````
-..  automodule:: paddle.v2.networks
-    :members: lstmemory_group
-    :noindex:
-
-simple_lstm
-```````````
-..  automodule:: paddle.v2.networks
-    :members: simple_lstm
-    :noindex:
-
-bidirectional_lstm
-``````````````````
-..  automodule:: paddle.v2.networks
-    :members: bidirectional_lstm
-    :noindex:
-
-GRU
----
-
-gru_unit
-````````
-..  automodule:: paddle.v2.networks
-    :members: gru_unit
-    :noindex:
-
-gru_group
-`````````
-..  automodule:: paddle.v2.networks
-    :members: gru_group
-    :noindex:
-
-simple_gru
-``````````
-..  automodule:: paddle.v2.networks
-    :members: simple_gru
-    :noindex:
-
-simple_gru2
-```````````
-..  automodule:: paddle.v2.networks
-    :members: simple_gru2
-    :noindex:
-
-bidirectional_gru
-``````````````````
-..  automodule:: paddle.v2.networks
-    :members: bidirectional_gru
-    :noindex:
-
-simple_attention
-----------------
-..  automodule:: paddle.v2.networks
-    :members: simple_attention
-    :noindex:
-
-dot_product_attention
----------------------
-..  automodule:: paddle.v2.networks
-    :members: dot_product_attention
-    :noindex:

develop/doc/_sources/api/v2/config/optimizer.rst.txt

-==========
-Optimizer
-==========
-
-Momentum
-========
-..  automodule:: paddle.v2.optimizer
-    :members: Momentum
-    :noindex:
-
-Adam
-====
-..  automodule:: paddle.v2.optimizer
-    :members: Adam
-    :noindex:
-
-Adamax
-======
-..  automodule:: paddle.v2.optimizer
-    :members: Adamax
-    :noindex:
-
-AdaGrad
-=======
-..  automodule:: paddle.v2.optimizer
-    :members: AdaGrad
-    :noindex:
-
-DecayedAdaGrad
-==============
-..  automodule:: paddle.v2.optimizer
-    :members: DecayedAdaGrad
-    :noindex:
-
-AdaDelta
-========
-..  automodule:: paddle.v2.optimizer
-    :members: AdaDelta
-    :noindex:
-
-RMSProp
-=======
-..  automodule:: paddle.v2.optimizer
-    :members: RMSProp
-    :noindex:

develop/doc/_sources/api/v2/config/pooling.rst.txt

-=======
-Pooling
-=======
-
-BasePool
-========
-..  automodule:: paddle.v2.pooling
-    :members: BasePool
-    :noindex:
-
-Avg
-===
-..  automodule:: paddle.v2.pooling
-    :members: Avg
-    :noindex:
-
-Max
-===
-..  automodule:: paddle.v2.pooling
-    :members: Max
-    :noindex:
-
-Sum
-===
-..  automodule:: paddle.v2.pooling
-    :members: Sum
-    :noindex:
-
-SquareRootN
-===========
-..  automodule:: paddle.v2.pooling
-    :members: SquareRootN
-    :noindex:
-
-CudnnAvg
-========
-..  automodule:: paddle.v2.pooling
-    :members: CudnnAvg
-    :noindex:
-
-CudnnMax
-========
-..  automodule:: paddle.v2.pooling
-    :members: CudnnMax
-    :noindex:
-

develop/doc/_sources/api/v2/data.rst.txt

-==================================
-Data Reader Interface and DataSets
-==================================
-
-..  toctree::
-    :maxdepth: 1
-
-    data/data_reader.rst
-    data/image.rst
-    data/dataset.rst

develop/doc/_sources/api/v2/data/data_reader.rst.txt

-=====================
-Data Reader Interface
-=====================
-
-
-DataTypes
-=========
-
-..  automodule:: paddle.v2.data_type
-    :members:
-    :noindex:
-
-DataFeeder
-==========
-
-..  automodule:: paddle.v2.data_feeder
-    :members:
-    :noindex:
-
-Reader
-======
-
-..  automodule:: paddle.v2.reader
-    :members:
-    :noindex:
-
-..  automodule:: paddle.v2.reader.creator
-    :members:
-    :noindex:
-
-minibatch
-=========
-
-..  automodule:: paddle.v2.minibatch
-    :members:
-    :noindex:

develop/doc/_sources/api/v2/data/dataset.rst.txt

-Dataset
-=======
-
-..  automodule:: paddle.v2.dataset
-    :members:
-    :noindex:
-
-mnist
-+++++
-
-..  automodule:: paddle.v2.dataset.mnist
-    :members:
-    :noindex:
-
-cifar
-+++++
-
-..  automodule:: paddle.v2.dataset.cifar
-    :members:
-    :noindex:
-
-conll05
-+++++++
-
-..  automodule:: paddle.v2.dataset.conll05
-    :members: get_dict,get_embedding,test
-    :noindex:
-
-imdb
-++++
-
-..  automodule:: paddle.v2.dataset.imdb
-    :members:
-    :noindex:
-
-imikolov
-++++++++
-
-..  automodule:: paddle.v2.dataset.imikolov
-    :members:
-    :noindex:
-
-movielens
-+++++++++
-
-..  automodule:: paddle.v2.dataset.movielens
-    :members:
-    :noindex:
-
-..  autoclass:: paddle.v2.dataset.movielens.MovieInfo
-    :noindex:
-    
-..  autoclass:: paddle.v2.dataset.movielens.UserInfo
-    :noindex:
-
-sentiment
-+++++++++
-
-..  automodule:: paddle.v2.dataset.sentiment
-    :members:
-    :noindex:
-
-uci_housing
-+++++++++++
-
-..  automodule:: paddle.v2.dataset.uci_housing
-    :members:
-    :noindex:
-
-wmt14
-+++++
-
-..  automodule:: paddle.v2.dataset.wmt14
-    :members:
-    :noindex:
-
-wmt16
-+++++
-
-..  automodule:: paddle.v2.dataset.wmt16
-    :members:
-    :noindex:

develop/doc/_sources/api/v2/data/image.rst.txt

-Image Interface
-===============
-
-..  automodule:: paddle.v2.image
-    :members:

develop/doc/_sources/api/v2/fluid.rst.txt

-======================
-Fluid
-======================
-
-..  toctree::
-    :maxdepth: 1
-
-    fluid/layers.rst
-    fluid/data_feeder.rst
-    fluid/executor.rst
-    fluid/initializer.rst
-    fluid/evaluator.rst
-    fluid/nets.rst
-    fluid/optimizer.rst
-    fluid/param_attr.rst
-    fluid/profiler.rst
-    fluid/regularizer.rst
-    fluid/io.rst

develop/doc/_sources/api/v2/fluid/data_feeder.rst.txt

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-===========
-data_feeder
-===========
-
-DataFeeder
-----------
-
-..  autoclass:: paddle.v2.fluid.data_feeder.DataFeeder
-    :members:
-    :noindex:
-

develop/doc/_sources/api/v2/fluid/evaluator.rst.txt

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-=========
-evaluator
-=========
-
-Accuracy
---------
-
-..  autoclass:: paddle.v2.fluid.evaluator.Accuracy
-    :members:
-    :noindex:
-
-ChunkEvaluator
---------------
-
-..  autoclass:: paddle.v2.fluid.evaluator.ChunkEvaluator
-    :members:
-    :noindex:
-

develop/doc/_sources/api/v2/fluid/executor.rst.txt

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-========
-executor
-========
-
-Executor
---------
-
-..  autoclass:: paddle.v2.fluid.executor.Executor
-    :members:
-    :noindex:
-
-global_scope
-------------
-
-..  autofunction:: paddle.v2.fluid.executor.global_scope
-    :noindex:
-
-scope_guard
------------
-
-..  autofunction:: paddle.v2.fluid.executor.scope_guard
-    :noindex:
-
-switch_scope
-------------
-
-..  autofunction:: paddle.v2.fluid.executor.switch_scope
-    :noindex:
-

develop/doc/_sources/api/v2/fluid/initializer.rst.txt

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-===========
-initializer
-===========
-
-Constant
---------
-
-..  autoclass:: paddle.v2.fluid.initializer.Constant
-    :members:
-    :noindex:
-
-Uniform
--------
-
-..  autoclass:: paddle.v2.fluid.initializer.Uniform
-    :members:
-    :noindex:
-
-Normal
-------
-
-..  autoclass:: paddle.v2.fluid.initializer.Normal
-    :members:
-    :noindex:
-
-Xavier
-------
-
-..  autoclass:: paddle.v2.fluid.initializer.Xavier
-    :members:
-    :noindex:
-

develop/doc/_sources/api/v2/fluid/io.rst.txt

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-==
-io
-==
-
-save_vars
----------
-
-..  autofunction:: paddle.v2.fluid.io.save_vars
-    :noindex:
-
-save_params
------------
-
-..  autofunction:: paddle.v2.fluid.io.save_params
-    :noindex:
-
-save_persistables
------------------
-
-..  autofunction:: paddle.v2.fluid.io.save_persistables
-    :noindex:
-
-load_vars
----------
-
-..  autofunction:: paddle.v2.fluid.io.load_vars
-    :noindex:
-
-load_params
------------
-
-..  autofunction:: paddle.v2.fluid.io.load_params
-    :noindex:
-
-load_persistables
------------------
-
-..  autofunction:: paddle.v2.fluid.io.load_persistables
-    :noindex:
-
-save_inference_model
---------------------
-
-..  autofunction:: paddle.v2.fluid.io.save_inference_model
-    :noindex:
-
-load_inference_model
---------------------
-
-..  autofunction:: paddle.v2.fluid.io.load_inference_model
-    :noindex:
-
-get_inference_program
----------------------
-
-..  autofunction:: paddle.v2.fluid.io.get_inference_program
-    :noindex:
-

develop/doc/_sources/api/v2/fluid/layers.rst.txt

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-======
-layers
-======
-
-control_flow
-============
-
-split_lod_tensor
-----------------
-
-..  autofunction:: paddle.v2.fluid.layers.split_lod_tensor
-    :noindex:
-
-merge_lod_tensor
-----------------
-
-..  autofunction:: paddle.v2.fluid.layers.merge_lod_tensor
-    :noindex:
-
-BlockGuard
-----------
-
-..  autoclass:: paddle.v2.fluid.layers.BlockGuard
-    :members:
-    :noindex:
-
-BlockGuardWithCompletion
-------------------------
-
-..  autoclass:: paddle.v2.fluid.layers.BlockGuardWithCompletion
-    :members:
-    :noindex:
-
-StaticRNNMemoryLink
--------------------
-
-..  autoclass:: paddle.v2.fluid.layers.StaticRNNMemoryLink
-    :members:
-    :noindex:
-
-WhileGuard
-----------
-
-..  autoclass:: paddle.v2.fluid.layers.WhileGuard
-    :members:
-    :noindex:
-
-While
------
-
-..  autoclass:: paddle.v2.fluid.layers.While
-    :members:
-    :noindex:
-
-lod_rank_table
---------------
-
-..  autofunction:: paddle.v2.fluid.layers.lod_rank_table
-    :noindex:
-
-max_sequence_len
-----------------
-
-..  autofunction:: paddle.v2.fluid.layers.max_sequence_len
-    :noindex:
-
-topk
-----
-
-..  autofunction:: paddle.v2.fluid.layers.topk
-    :noindex:
-
-lod_tensor_to_array
--------------------
-
-..  autofunction:: paddle.v2.fluid.layers.lod_tensor_to_array
-    :noindex:
-
-array_to_lod_tensor
--------------------
-
-..  autofunction:: paddle.v2.fluid.layers.array_to_lod_tensor
-    :noindex:
-
-increment
----------
-
-..  autofunction:: paddle.v2.fluid.layers.increment
-    :noindex:
-
-array_write
------------
-
-..  autofunction:: paddle.v2.fluid.layers.array_write
-    :noindex:
-
-create_array
-------------
-
-..  autofunction:: paddle.v2.fluid.layers.create_array
-    :noindex:
-
-less_than
----------
-
-..  autofunction:: paddle.v2.fluid.layers.less_than
-    :noindex:
-
-array_read
-----------
-
-..  autofunction:: paddle.v2.fluid.layers.array_read
-    :noindex:
-
-shrink_memory
--------------
-
-..  autofunction:: paddle.v2.fluid.layers.shrink_memory
-    :noindex:
-
-array_length
-------------
-
-..  autofunction:: paddle.v2.fluid.layers.array_length
-    :noindex:
-
-IfElse
-------
-
-..  autoclass:: paddle.v2.fluid.layers.IfElse
-    :members:
-    :noindex:
-
-DynamicRNN
-----------
-
-..  autoclass:: paddle.v2.fluid.layers.DynamicRNN
-    :members:
-    :noindex:
-
-ConditionalBlock
-----------------
-
-..  autoclass:: paddle.v2.fluid.layers.ConditionalBlock
-    :members:
-    :noindex:
-
-StaticRNN
----------
-
-..  autoclass:: paddle.v2.fluid.layers.StaticRNN
-    :members:
-    :noindex:
-
-reorder_lod_tensor_by_rank
---------------------------
-
-..  autofunction:: paddle.v2.fluid.layers.reorder_lod_tensor_by_rank
-    :noindex:
-
-ParallelDo
-----------
-
-..  autoclass:: paddle.v2.fluid.layers.ParallelDo
-    :members:
-    :noindex:
-
-Print
------
-
-..  autofunction:: paddle.v2.fluid.layers.Print
-    :noindex:
-
-device
-======
-
-get_places
-----------
-
-..  autofunction:: paddle.v2.fluid.layers.get_places
-    :noindex:
-
-io
-==
-
-data
-----
-
-..  autofunction:: paddle.v2.fluid.layers.data
-    :noindex:
-
-BlockGuardServ
---------------
-
-..  autoclass:: paddle.v2.fluid.layers.BlockGuardServ
-    :members:
-    :noindex:
-
-ListenAndServ
--------------
-
-..  autoclass:: paddle.v2.fluid.layers.ListenAndServ
-    :members:
-    :noindex:
-
-Send
-----
-
-..  autofunction:: paddle.v2.fluid.layers.Send
-    :noindex:
-
-nn
-==
-
-fc
---
-
-..  autofunction:: paddle.v2.fluid.layers.fc
-    :noindex:
-
-embedding
----------
-
-..  autofunction:: paddle.v2.fluid.layers.embedding
-    :noindex:
-
-dynamic_lstm
-------------
-
-..  autofunction:: paddle.v2.fluid.layers.dynamic_lstm
-    :noindex:
-
-dynamic_lstmp
--------------
-
-..  autofunction:: paddle.v2.fluid.layers.dynamic_lstmp
-    :noindex:
-
-dynamic_gru
------------
-
-..  autofunction:: paddle.v2.fluid.layers.dynamic_gru
-    :noindex:
-
-gru_unit
---------
-
-..  autofunction:: paddle.v2.fluid.layers.gru_unit
-    :noindex:
-
-linear_chain_crf
-----------------
-
-..  autofunction:: paddle.v2.fluid.layers.linear_chain_crf
-    :noindex:
-
-crf_decoding
-------------
-
-..  autofunction:: paddle.v2.fluid.layers.crf_decoding
-    :noindex:
-
-cos_sim
--------
-
-..  autofunction:: paddle.v2.fluid.layers.cos_sim
-    :noindex:
-
-cross_entropy
--------------
-
-..  autofunction:: paddle.v2.fluid.layers.cross_entropy
-    :noindex:
-
-square_error_cost
------------------
-
-..  autofunction:: paddle.v2.fluid.layers.square_error_cost
-    :noindex:
-
-accuracy
---------
-
-..  autofunction:: paddle.v2.fluid.layers.accuracy
-    :noindex:
-
-chunk_eval
-----------
-
-..  autofunction:: paddle.v2.fluid.layers.chunk_eval
-    :noindex:
-
-sequence_conv
--------------
-
-..  autofunction:: paddle.v2.fluid.layers.sequence_conv
-    :noindex:
-
-conv2d
-------
-
-..  autofunction:: paddle.v2.fluid.layers.conv2d
-    :noindex:
-
-sequence_pool
--------------
-
-..  autofunction:: paddle.v2.fluid.layers.sequence_pool
-    :noindex:
-
-pool2d
-------
-
-..  autofunction:: paddle.v2.fluid.layers.pool2d
-    :noindex:
-
-batch_norm
-----------
-
-..  autofunction:: paddle.v2.fluid.layers.batch_norm
-    :noindex:
-
-layer_norm
-----------
-
-..  autofunction:: paddle.v2.fluid.layers.layer_norm
-    :noindex:
-
-beam_search_decode
-------------------
-
-..  autofunction:: paddle.v2.fluid.layers.beam_search_decode
-    :noindex:
-
-conv2d_transpose
-----------------
-
-..  autofunction:: paddle.v2.fluid.layers.conv2d_transpose
-    :noindex:
-
-sequence_expand
----------------
-
-..  autofunction:: paddle.v2.fluid.layers.sequence_expand
-    :noindex:
-
-lstm_unit
----------
-
-..  autofunction:: paddle.v2.fluid.layers.lstm_unit
-    :noindex:
-
-reduce_sum
-----------
-
-..  autofunction:: paddle.v2.fluid.layers.reduce_sum
-    :noindex:
-
-reduce_mean
------------
-
-..  autofunction:: paddle.v2.fluid.layers.reduce_mean
-    :noindex:
-
-reduce_max
-----------
-
-..  autofunction:: paddle.v2.fluid.layers.reduce_max
-    :noindex:
-
-reduce_min
-----------
-
-..  autofunction:: paddle.v2.fluid.layers.reduce_min
-    :noindex:
-
-sequence_first_step
--------------------
-
-..  autofunction:: paddle.v2.fluid.layers.sequence_first_step
-    :noindex:
-
-sequence_last_step
-------------------
-
-..  autofunction:: paddle.v2.fluid.layers.sequence_last_step
-    :noindex:
-
-dropout
--------
-
-..  autofunction:: paddle.v2.fluid.layers.dropout
-    :noindex:
-
-split
------
-
-..  autofunction:: paddle.v2.fluid.layers.split
-    :noindex:
-
-ctc_greedy_decoder
-------------------
-
-..  autofunction:: paddle.v2.fluid.layers.ctc_greedy_decoder
-    :noindex:
-
-edit_distance
--------------
-
-..  autofunction:: paddle.v2.fluid.layers.edit_distance
-    :noindex:
-
-l2_normalize
-------------
-
-..  autofunction:: paddle.v2.fluid.layers.l2_normalize
-    :noindex:
-
-matmul
-------
-
-..  autofunction:: paddle.v2.fluid.layers.matmul
-    :noindex:
-
-warpctc
--------
-
-..  autofunction:: paddle.v2.fluid.layers.warpctc
-    :noindex:
-
-sequence_reshape
-----------------
-
-..  autofunction:: paddle.v2.fluid.layers.sequence_reshape
-    :noindex:
-
-transpose
----------
-
-..  autofunction:: paddle.v2.fluid.layers.transpose
-    :noindex:
-
-im2sequence
------------
-
-..  autofunction:: paddle.v2.fluid.layers.im2sequence
-    :noindex:
-
-nce
----
-
-..  autofunction:: paddle.v2.fluid.layers.nce
-    :noindex:
-
-beam_search
------------
-
-..  autofunction:: paddle.v2.fluid.layers.beam_search
-    :noindex:
-
-row_conv
---------
-
-..  autofunction:: paddle.v2.fluid.layers.row_conv
-    :noindex:
-
-multiplex
----------
-
-..  autofunction:: paddle.v2.fluid.layers.multiplex
-    :noindex:
-
-ops
-===
-
-mean
-----
-
-..  autofunction:: paddle.v2.fluid.layers.mean
-    :noindex:
-
-mul
----
-
-..  autofunction:: paddle.v2.fluid.layers.mul
-    :noindex:
-
-reshape
--------
-
-..  autofunction:: paddle.v2.fluid.layers.reshape
-    :noindex:
-
-scale
------
-
-..  autofunction:: paddle.v2.fluid.layers.scale
-    :noindex:
-
-sigmoid_cross_entropy_with_logits
----------------------------------
-
-..  autofunction:: paddle.v2.fluid.layers.sigmoid_cross_entropy_with_logits
-    :noindex:
-
-elementwise_add
----------------
-
-..  autofunction:: paddle.v2.fluid.layers.elementwise_add
-    :noindex:
-
-elementwise_div
----------------
-
-..  autofunction:: paddle.v2.fluid.layers.elementwise_div
-    :noindex:
-
-elementwise_sub
----------------
-
-..  autofunction:: paddle.v2.fluid.layers.elementwise_sub
-    :noindex:
-
-elementwise_mul
----------------
-
-..  autofunction:: paddle.v2.fluid.layers.elementwise_mul
-    :noindex:
-
-elementwise_max
----------------
-
-..  autofunction:: paddle.v2.fluid.layers.elementwise_max
-    :noindex:
-
-elementwise_min
----------------
-
-..  autofunction:: paddle.v2.fluid.layers.elementwise_min
-    :noindex:
-
-elementwise_pow
----------------
-
-..  autofunction:: paddle.v2.fluid.layers.elementwise_pow
-    :noindex:
-
-clip
-----
-
-..  autofunction:: paddle.v2.fluid.layers.clip
-    :noindex:
-
-clip_by_norm
-------------
-
-..  autofunction:: paddle.v2.fluid.layers.clip_by_norm
-    :noindex:
-
-sequence_softmax
-----------------
-
-..  autofunction:: paddle.v2.fluid.layers.sequence_softmax
-    :noindex:
-
-sigmoid
--------
-
-..  autofunction:: paddle.v2.fluid.layers.sigmoid
-    :noindex:
-
-logsigmoid
-----------
-
-..  autofunction:: paddle.v2.fluid.layers.logsigmoid
-    :noindex:
-
-exp
----
-
-..  autofunction:: paddle.v2.fluid.layers.exp
-    :noindex:
-
-relu
-----
-
-..  autofunction:: paddle.v2.fluid.layers.relu
-    :noindex:
-
-tanh
-----
-
-..  autofunction:: paddle.v2.fluid.layers.tanh
-    :noindex:
-
-tanh_shrink
------------
-
-..  autofunction:: paddle.v2.fluid.layers.tanh_shrink
-    :noindex:
-
-softshrink
-----------
-
-..  autofunction:: paddle.v2.fluid.layers.softshrink
-    :noindex:
-
-sqrt
-----
-
-..  autofunction:: paddle.v2.fluid.layers.sqrt
-    :noindex:
-
-abs
----
-
-..  autofunction:: paddle.v2.fluid.layers.abs
-    :noindex:
-
-ceil
-----
-
-..  autofunction:: paddle.v2.fluid.layers.ceil
-    :noindex:
-
-floor
------
-
-..  autofunction:: paddle.v2.fluid.layers.floor
-    :noindex:
-
-round
------
-
-..  autofunction:: paddle.v2.fluid.layers.round
-    :noindex:
-
-reciprocal
-----------
-
-..  autofunction:: paddle.v2.fluid.layers.reciprocal
-    :noindex:
-
-log
----
-
-..  autofunction:: paddle.v2.fluid.layers.log
-    :noindex:
-
-square
-------
-
-..  autofunction:: paddle.v2.fluid.layers.square
-    :noindex:
-
-softplus
---------
-
-..  autofunction:: paddle.v2.fluid.layers.softplus
-    :noindex:
-
-softsign
---------
-
-..  autofunction:: paddle.v2.fluid.layers.softsign
-    :noindex:
-
-brelu
------
-
-..  autofunction:: paddle.v2.fluid.layers.brelu
-    :noindex:
-
-leaky_relu
-----------
-
-..  autofunction:: paddle.v2.fluid.layers.leaky_relu
-    :noindex:
-
-soft_relu
----------
-
-..  autofunction:: paddle.v2.fluid.layers.soft_relu
-    :noindex:
-
-elu
----
-
-..  autofunction:: paddle.v2.fluid.layers.elu
-    :noindex:
-
-relu6
------
-
-..  autofunction:: paddle.v2.fluid.layers.relu6
-    :noindex:
-
-pow
----
-
-..  autofunction:: paddle.v2.fluid.layers.pow
-    :noindex:
-
-stanh
------
-
-..  autofunction:: paddle.v2.fluid.layers.stanh
-    :noindex:
-
-hard_shrink
------------
-
-..  autofunction:: paddle.v2.fluid.layers.hard_shrink
-    :noindex:
-
-thresholded_relu
-----------------
-
-..  autofunction:: paddle.v2.fluid.layers.thresholded_relu
-    :noindex:
-
-hard_sigmoid
-------------
-
-..  autofunction:: paddle.v2.fluid.layers.hard_sigmoid
-    :noindex:
-
-swish
------
-
-..  autofunction:: paddle.v2.fluid.layers.swish
-    :noindex:
-
-tensor
-======
-
-create_tensor
--------------
-
-..  autofunction:: paddle.v2.fluid.layers.create_tensor
-    :noindex:
-
-create_parameter
-----------------
-
-..  autofunction:: paddle.v2.fluid.layers.create_parameter
-    :noindex:
-
-create_global_var
------------------
-
-..  autofunction:: paddle.v2.fluid.layers.create_global_var
-    :noindex:
-
-cast
-----
-
-..  autofunction:: paddle.v2.fluid.layers.cast
-    :noindex:
-
-concat
-------
-
-..  autofunction:: paddle.v2.fluid.layers.concat
-    :noindex:
-
-sums
-----
-
-..  autofunction:: paddle.v2.fluid.layers.sums
-    :noindex:
-
-assign
-------
-
-..  autofunction:: paddle.v2.fluid.layers.assign
-    :noindex:
-
-fill_constant_batch_size_like
------------------------------
-
-..  autofunction:: paddle.v2.fluid.layers.fill_constant_batch_size_like
-    :noindex:
-
-fill_constant
--------------
-
-..  autofunction:: paddle.v2.fluid.layers.fill_constant
-    :noindex:
-
-ones
-----
-
-..  autofunction:: paddle.v2.fluid.layers.ones
-    :noindex:
-
-zeros
------
-
-..  autofunction:: paddle.v2.fluid.layers.zeros
-    :noindex:
-

develop/doc/_sources/api/v2/fluid/nets.rst.txt

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
-
-====
-nets
-====
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-simple_img_conv_pool
---------------------
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-..  autofunction:: paddle.v2.fluid.nets.sequence_conv_pool
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develop/doc/_sources/api/v2/fluid/optimizer.rst.txt

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
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-=========
-optimizer
-=========
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-SGD
----
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---------
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develop/doc/_sources/api/v2/fluid/param_attr.rst.txt

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develop/doc/_sources/api/v2/fluid/profiler.rst.txt

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
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-========
-profiler
-========
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develop/doc/_sources/api/v2/fluid/regularizer.rst.txt

-..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
-    !DO NOT EDIT THIS FILE MANUALLY!
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-===========
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-===========
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--------------------------
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develop/doc/_sources/api/v2/model_configs.rst.txt

-Model Configuration
-===================
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-..  toctree::
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-    config/activation.rst
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-    config/evaluators.rst
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-    config/networks.rst
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develop/doc/_sources/api/v2/run_logic.rst.txt

-======================
-Training and Inference
-======================
-
-Parameters
-==========
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\ No newline at end of file

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-           <div itemprop="articleBody">
-            
-  <div class="section" id="activation">
-<h1>Activation<a class="headerlink" href="#activation" title="Permalink to this headline">¶</a></h1>
-<div class="section" id="abs">
-<h2>Abs<a class="headerlink" href="#abs" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.activation.</code><code class="descname">Abs</code></dt>
-<dd><p>Abs Activation.</p>
-<p>Forward:    <span class="math">\(f(z) = abs(z)\)</span></p>
-<p>Derivative:</p>
-<div class="math">
-\[\begin{split}1 &amp;\quad if \quad z &gt; 0 \\
--1 &amp;\quad if \quad z &lt; 0 \\
-0 &amp;\quad if \quad z = 0\end{split}\]</div>
-</dd></dl>
-
-</div>
-<div class="section" id="exp">
-<h2>Exp<a class="headerlink" href="#exp" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.activation.</code><code class="descname">Exp</code></dt>
-<dd><p>Exponential Activation.</p>
-<div class="math">
-\[f(z) = e^z.\]</div>
-</dd></dl>
-
-</div>
-<div class="section" id="identity">
-<h2>Identity<a class="headerlink" href="#identity" title="Permalink to this headline">¶</a></h2>
-<dl class="attribute">
-<dt>
-<code class="descclassname">paddle.v2.activation.</code><code class="descname">Identity</code></dt>
-<dd><p>alias of <code class="xref py py-class docutils literal"><span class="pre">Linear</span></code></p>
-</dd></dl>
-
-</div>
-<div class="section" id="linear">
-<h2>Linear<a class="headerlink" href="#linear" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.activation.</code><code class="descname">Linear</code></dt>
-<dd><p>Identity Activation.</p>
-<p>Just do nothing for output both forward/backward.</p>
-</dd></dl>
-
-</div>
-<div class="section" id="log">
-<h2>Log<a class="headerlink" href="#log" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.activation.</code><code class="descname">Log</code></dt>
-<dd><p>Logarithm Activation.</p>
-<div class="math">
-\[f(z) = log(z)\]</div>
-</dd></dl>
-
-</div>
-<div class="section" id="square">
-<h2>Square<a class="headerlink" href="#square" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.activation.</code><code class="descname">Square</code></dt>
-<dd><p>Square Activation.</p>
-<div class="math">
-\[f(z) = z^2.\]</div>
-</dd></dl>
-
-</div>
-<div class="section" id="sigmoid">
-<h2>Sigmoid<a class="headerlink" href="#sigmoid" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.activation.</code><code class="descname">Sigmoid</code></dt>
-<dd><p>Sigmoid activation.</p>
-<div class="math">
-\[f(z) = \frac{1}{1+exp(-z)}\]</div>
-</dd></dl>
-
-</div>
-<div class="section" id="softmax">
-<h2>Softmax<a class="headerlink" href="#softmax" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.activation.</code><code class="descname">Softmax</code></dt>
-<dd><p>Softmax activation for simple input</p>
-<div class="math">
-\[P(y=j|x) = \frac{e^{x_j}} {\sum^K_{k=1} e^{x_j} }\]</div>
-</dd></dl>
-
-</div>
-<div class="section" id="sequencesoftmax">
-<h2>SequenceSoftmax<a class="headerlink" href="#sequencesoftmax" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.activation.</code><code class="descname">SequenceSoftmax</code></dt>
-<dd><p>Softmax activation for one sequence. The dimension of input feature must be
-1 and a sequence.</p>
-<div class="code python highlight-default"><div class="highlight"><pre><span></span><span class="n">result</span> <span class="o">=</span> <span class="n">softmax</span><span class="p">(</span><span class="k">for</span> <span class="n">each_feature_vector</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="ow">in</span> <span class="n">input_feature</span><span class="p">)</span>
-<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">each_time_step_output</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">output</span><span class="p">):</span>
-    <span class="n">each_time_step_output</span> <span class="o">=</span> <span class="n">result</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
-</pre></div>
-</div>
-</dd></dl>
-
-</div>
-<div class="section" id="relu">
-<h2>Relu<a class="headerlink" href="#relu" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.activation.</code><code class="descname">Relu</code></dt>
-<dd><p>Relu activation.</p>
-<p>forward. <span class="math">\(y = max(0, z)\)</span></p>
-<p>derivative:</p>
-<div class="math">
-\[\begin{split}1  &amp;\quad if z &gt; 0 \\
-0  &amp;\quad\mathrm{otherwize}\end{split}\]</div>
-</dd></dl>
-
-</div>
-<div class="section" id="brelu">
-<h2>BRelu<a class="headerlink" href="#brelu" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.activation.</code><code class="descname">BRelu</code></dt>
-<dd><p>BRelu Activation.</p>
-<p>forward.  <span class="math">\(y = min(24, max(0, z))\)</span></p>
-<p>derivative:</p>
-<div class="math">
-\[\begin{split}1  &amp;\quad if 0 &lt; z &lt; 24 \\
-0  &amp;\quad \mathrm{otherwise}\end{split}\]</div>
-</dd></dl>
-
-</div>
-<div class="section" id="softrelu">
-<h2>SoftRelu<a class="headerlink" href="#softrelu" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.activation.</code><code class="descname">SoftRelu</code></dt>
-<dd><p>SoftRelu Activation.</p>
-</dd></dl>
-
-</div>
-<div class="section" id="tanh">
-<h2>Tanh<a class="headerlink" href="#tanh" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.activation.</code><code class="descname">Tanh</code></dt>
-<dd><p>Tanh activation.</p>
-<div class="math">
-\[f(z)=tanh(z)=\frac{e^z-e^{-z}}{e^z+e^{-z}}\]</div>
-</dd></dl>
-
-</div>
-<div class="section" id="stanh">
-<h2>STanh<a class="headerlink" href="#stanh" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.activation.</code><code class="descname">STanh</code></dt>
-<dd><p>Scaled Tanh Activation.</p>
-<div class="math">
-\[f(z) = 1.7159 * tanh(2/3*z)\]</div>
-</dd></dl>
-
-</div>
-<div class="section" id="softsign">
-<h2>SoftSign<a class="headerlink" href="#softsign" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.activation.</code><code class="descname">SoftSign</code></dt>
-<dd><p>SoftSign Activation.</p>
-<div class="math">
-\[f(z)=\frac{z}{1 + |z|}\]</div>
-</dd></dl>
-
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-</div>
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-            
-  <div class="section" id="parameter-attribute">
-<h1>Parameter Attribute<a class="headerlink" href="#parameter-attribute" title="Permalink to this headline">¶</a></h1>
-<dl class="attribute">
-<dt>
-<code class="descclassname">paddle.v2.attr.</code><code class="descname">Param</code></dt>
-<dd><p>alias of <code class="xref py py-class docutils literal"><span class="pre">ParameterAttribute</span></code></p>
-</dd></dl>
-
-<dl class="attribute">
-<dt>
-<code class="descclassname">paddle.v2.attr.</code><code class="descname">Extra</code></dt>
-<dd><p>alias of <code class="xref py py-class docutils literal"><span class="pre">ExtraLayerAttribute</span></code></p>
-</dd></dl>
-
-<dl class="attribute">
-<dt>
-<code class="descclassname">paddle.v2.attr.</code><code class="descname">Hook</code></dt>
-<dd><p>alias of <code class="xref py py-class docutils literal"><span class="pre">HookAttribute</span></code></p>
-</dd></dl>
-
-<dl class="attribute">
-<dt>
-<code class="descclassname">paddle.v2.attr.</code><code class="descname">HookAttr</code></dt>
-<dd><p>alias of <code class="xref py py-class docutils literal"><span class="pre">HookAttribute</span></code></p>
-</dd></dl>
-
-<dl class="attribute">
-<dt>
-<code class="descclassname">paddle.v2.attr.</code><code class="descname">ParamAttr</code></dt>
-<dd><p>alias of <code class="xref py py-class docutils literal"><span class="pre">ParameterAttribute</span></code></p>
-</dd></dl>
-
-<dl class="attribute">
-<dt>
-<code class="descclassname">paddle.v2.attr.</code><code class="descname">ExtraAttr</code></dt>
-<dd><p>alias of <code class="xref py py-class docutils literal"><span class="pre">ExtraLayerAttribute</span></code></p>
-</dd></dl>
-
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.attr.</code><code class="descname">ParameterAttribute</code><span class="sig-paren">(</span><em>name=None</em>, <em>is_static=False</em>, <em>initial_std=None</em>, <em>initial_mean=None</em>, <em>initial_max=None</em>, <em>initial_min=None</em>, <em>l1_rate=None</em>, <em>l2_rate=None</em>, <em>learning_rate=None</em>, <em>momentum=None</em>, <em>gradient_clipping_threshold=None</em>, <em>sparse_update=False</em>, <em>update_hooks=None</em>, <em>initializer=None</em><span class="sig-paren">)</span></dt>
-<dd><p>Parameter Attributes object. To fine-tuning network training process, user
-can set attribute to control training details, such as l1,l2 rate / learning
-rate / how to init param.</p>
-<p>NOTE: IT IS A HIGH LEVEL USER INTERFACE.</p>
-<table class="docutils field-list" frame="void" rules="none">
-<col class="field-name" />
-<col class="field-body" />
-<tbody valign="top">
-<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
-<li><strong>is_static</strong> (<em>bool</em>) &#8211; True if this parameter will be fixed while training.</li>
-<li><strong>initial_std</strong> (<em>float</em><em> or </em><em>None</em>) &#8211; Gauss Random initialization standard deviation.
-None if not using Gauss Random initialize parameter.</li>
-<li><strong>initial_mean</strong> (<em>float</em><em> or </em><em>None</em>) &#8211; Gauss Random initialization mean.
-None if not using Gauss Random initialize parameter.</li>
-<li><strong>initial_max</strong> (<em>float</em><em> or </em><em>None</em>) &#8211; Uniform initialization max value.</li>
-<li><strong>initial_min</strong> (<em>float</em><em> or </em><em>None</em>) &#8211; Uniform initialization min value.</li>
-<li><strong>l1_rate</strong> (<em>float</em><em> or </em><em>None</em>) &#8211; the l1 regularization factor</li>
-<li><strong>l2_rate</strong> (<em>float</em><em> or </em><em>None</em>) &#8211; the l2 regularization factor</li>
-<li><strong>learning_rate</strong> (<em>float</em><em> or </em><em>None</em>) &#8211; The parameter learning rate. None means 1.
-The learning rate when optimize is LEARNING_RATE =
-GLOBAL_LEARNING_RATE * PARAMETER_LEARNING_RATE
-* SCHEDULER_FACTOR.</li>
-<li><strong>momentum</strong> (<em>float</em><em> or </em><em>None</em>) &#8211; The parameter momentum. None means use global value.</li>
-<li><strong>gradient_clipping_threshold</strong> (<em>float</em>) &#8211; gradient clipping threshold. If gradient
-value larger than some value, will be
-clipped.</li>
-<li><strong>sparse_update</strong> (<em>bool</em>) &#8211; Enable sparse update for this parameter. It will
-enable both local and remote sparse update.</li>
-<li><strong>update_hooks</strong> (<em>HookAttribute</em>) &#8211; A HookAttribute object.</li>
-<li><strong>initializer</strong> (<em>callable object</em>) &#8211; If not None, it should be a callable object which accepts
-a parameter name and returns numpy array for the initial
-value of the parameter</li>
-</ul>
-</td>
-</tr>
-</tbody>
-</table>
-<dl class="method">
-<dt>
-<code class="descname">set_default_parameter_name</code><span class="sig-paren">(</span><em>name</em><span class="sig-paren">)</span></dt>
-<dd><p>Set default parameter name. If parameter not set, then will use default
-parameter name.</p>
-<table class="docutils field-list" frame="void" rules="none">
-<col class="field-name" />
-<col class="field-body" />
-<tbody valign="top">
-<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>name</strong> (<em>basestring</em>) &#8211; default parameter name.</td>
-</tr>
-</tbody>
-</table>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.attr.</code><code class="descname">ExtraLayerAttribute</code><span class="sig-paren">(</span><em>error_clipping_threshold=None</em>, <em>drop_rate=None</em>, <em>device=None</em><span class="sig-paren">)</span></dt>
-<dd><p>Some high level layer attributes config. You can set all attributes here,
-but some layer doesn&#8217;t support all attributes. If you set an attribute to a
-layer that not support this attribute, paddle will print an error and core.</p>
-<table class="docutils field-list" frame="void" rules="none">
-<col class="field-name" />
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-<tbody valign="top">
-<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
-<li><strong>error_clipping_threshold</strong> (<em>float</em>) &#8211; Error clipping threshold.</li>
-<li><strong>drop_rate</strong> (<em>float</em>) &#8211; Dropout rate. Dropout will create a mask on layer output.
-The dropout rate is the zero rate of this mask. The
-details of what dropout is please refer to <a class="reference external" href="https://www.cs.toronto.edu/~hinton/absps/JMLRdropout.pdf">here</a>.</li>
-<li><strong>device</strong> (<em>int</em>) &#8211; <p>device ID of layer. device=-1, use CPU. device&gt;=0, use GPU.
-The details allocation in parallel_nn please refer to <a class="reference external" href="http://www.paddlepaddle.org/doc/ui/cmd_argument/use_case.html#case-2-specify-layers-in-different-devices">here</a>.</p>
-</li>
-</ul>
-</td>
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-    <li>Optimizer</li>
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-      <div class="wy-nav-content" id="doc-content">
-        <div class="rst-content">
-          <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
-           <div itemprop="articleBody">
-            
-  <div class="section" id="optimizer">
-<h1>Optimizer<a class="headerlink" href="#optimizer" title="Permalink to this headline">¶</a></h1>
-<div class="section" id="momentum">
-<h2>Momentum<a class="headerlink" href="#momentum" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.optimizer.</code><code class="descname">Momentum</code><span class="sig-paren">(</span><em>momentum=None</em>, <em>sparse=False</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
-<dd><p>Momentum Optimizer.</p>
-<p>When sparse=False, the momentum update formula is as follows:</p>
-<div class="math">
-\[\begin{split}v_{t} &amp;= k * v_{t-1} - \gamma_t (g_{t} + \lambda w_{t-1}) \\
-w_{t} &amp;= w_{t-1} + v_{t} \\\end{split}\]</div>
-<p>where, <span class="math">\(k\)</span> is momentum, <span class="math">\(\lambda\)</span> is decay rate,
-<span class="math">\(\gamma_t\)</span> is learning rate at the t&#8217;th iteration.
-<span class="math">\(w_{t}\)</span> is the weight as the t&#8217;th iteration.
-And the <span class="math">\(v_{t}\)</span> is the history momentum variable.</p>
-<p>When sparse=True, the update scheme:</p>
-<div class="math">
-\[\begin{split}\alpha_t &amp;= \alpha_{t-1} / k \\
-\beta_t &amp;= \beta_{t-1} / (1 + \lambda \gamma_t) \\
-u_t &amp;= u_{t-1} - \alpha_t \gamma_t g_t \\
-v_t &amp;= v_{t-1} + \tau_{t-1} \alpha_t \gamma_t g_t \\
-\tau_t &amp;= \tau_{t-1} + \beta_t / \alpha_t\end{split}\]</div>
-<p>where <span class="math">\(k\)</span> is momentum, <span class="math">\(\lambda\)</span> is decay rate,
-<span class="math">\(\gamma_t\)</span> is learning rate at the t&#8217;th iteration.</p>
-<table class="docutils field-list" frame="void" rules="none">
-<col class="field-name" />
-<col class="field-body" />
-<tbody valign="top">
-<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
-<li><strong>momentum</strong> (<em>float</em>) &#8211; the momentum factor.</li>
-<li><strong>sparse</strong> (<em>bool</em>) &#8211; with sparse support or not, False by default.</li>
-</ul>
-</td>
-</tr>
-</tbody>
-</table>
-</dd></dl>
-
-</div>
-<div class="section" id="adam">
-<h2>Adam<a class="headerlink" href="#adam" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.optimizer.</code><code class="descname">Adam</code><span class="sig-paren">(</span><em>beta1=0.9</em>, <em>beta2=0.999</em>, <em>epsilon=1e-08</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
-<dd><p>Adam optimizer.
-The details of please refer <a class="reference external" href="https://arxiv.org/abs/1412.6980">Adam: A Method for Stochastic Optimization</a></p>
-<div class="math">
-\[\begin{split}m(w, t) &amp; = \beta_1 m(w, t-1) + (1 - \beta_1) \nabla Q_i(w) \\
-v(w, t) &amp; = \beta_2 v(w, t-1) + (1 - \beta_2)(\nabla Q_i(w)) ^2 \\
-w &amp; = w - \frac{\eta m(w, t)}{\sqrt{v(w,t) + \epsilon}}\end{split}\]</div>
-<table class="docutils field-list" frame="void" rules="none">
-<col class="field-name" />
-<col class="field-body" />
-<tbody valign="top">
-<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
-<li><strong>beta1</strong> (<em>float</em>) &#8211; the <span class="math">\(\beta_1\)</span> in equation.</li>
-<li><strong>beta2</strong> (<em>float</em>) &#8211; the <span class="math">\(\beta_2\)</span> in equation.</li>
-<li><strong>epsilon</strong> (<em>float</em>) &#8211; the <span class="math">\(\epsilon\)</span> in equation. It is used to prevent
-divided by zero.</li>
-</ul>
-</td>
-</tr>
-</tbody>
-</table>
-</dd></dl>
-
-</div>
-<div class="section" id="adamax">
-<h2>Adamax<a class="headerlink" href="#adamax" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.optimizer.</code><code class="descname">Adamax</code><span class="sig-paren">(</span><em>beta1=0.9</em>, <em>beta2=0.999</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
-<dd><p>Adamax optimizer.</p>
-<p>The details of please refer this <a class="reference external" href="https://arxiv.org/abs/1412.6980">Adam: A Method for Stochastic Optimization</a></p>
-<div class="math">
-\[\begin{split}m_t &amp; = \beta_1 * m_{t-1} + (1-\beta_1)* \nabla Q_i(w) \\
-u_t &amp; = max(\beta_2*u_{t-1}, abs(\nabla Q_i(w))) \\
-w_t &amp; = w_{t-1} - (\eta/(1-\beta_1^t))*m_t/u_t\end{split}\]</div>
-<table class="docutils field-list" frame="void" rules="none">
-<col class="field-name" />
-<col class="field-body" />
-<tbody valign="top">
-<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
-<li><strong>beta1</strong> (<em>float</em>) &#8211; the <span class="math">\(\beta_1\)</span> in the equation.</li>
-<li><strong>beta2</strong> (<em>float</em>) &#8211; the <span class="math">\(\beta_2\)</span> in the equation.</li>
-</ul>
-</td>
-</tr>
-</tbody>
-</table>
-</dd></dl>
-
-</div>
-<div class="section" id="adagrad">
-<h2>AdaGrad<a class="headerlink" href="#adagrad" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.optimizer.</code><code class="descname">AdaGrad</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span></dt>
-<dd><p>Adagrad(for ADAptive GRAdient algorithm) optimizer.</p>
-<p>For details please refer this <a class="reference external" href="http://www.magicbroom.info/Papers/DuchiHaSi10.pdf">Adaptive Subgradient Methods for
-Online Learning and Stochastic Optimization</a>.</p>
-<div class="math">
-\[\begin{split}G &amp;= \sum_{\tau=1}^{t} g_{\tau} g_{\tau}^T \\
-w &amp; = w - \eta diag(G)^{-\frac{1}{2}} \circ g\end{split}\]</div>
-</dd></dl>
-
-</div>
-<div class="section" id="decayedadagrad">
-<h2>DecayedAdaGrad<a class="headerlink" href="#decayedadagrad" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.optimizer.</code><code class="descname">DecayedAdaGrad</code><span class="sig-paren">(</span><em>rho=0.95</em>, <em>epsilon=1e-06</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
-<dd><p>AdaGrad method with decayed sum gradients. The equations of this method
-show as follow.</p>
-<div class="math">
-\[\begin{split}E(g_t^2) &amp;= \rho * E(g_{t-1}^2) + (1-\rho) * g^2 \\
-learning\_rate &amp;= 1/sqrt( ( E(g_t^2) + \epsilon )\end{split}\]</div>
-<table class="docutils field-list" frame="void" rules="none">
-<col class="field-name" />
-<col class="field-body" />
-<tbody valign="top">
-<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
-<li><strong>rho</strong> (<em>float</em>) &#8211; The <span class="math">\(\rho\)</span> parameter in that equation</li>
-<li><strong>epsilon</strong> (<em>float</em>) &#8211; The <span class="math">\(\epsilon\)</span> parameter in that equation.</li>
-</ul>
-</td>
-</tr>
-</tbody>
-</table>
-</dd></dl>
-
-</div>
-<div class="section" id="adadelta">
-<h2>AdaDelta<a class="headerlink" href="#adadelta" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.optimizer.</code><code class="descname">AdaDelta</code><span class="sig-paren">(</span><em>rho=0.95</em>, <em>epsilon=1e-06</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
-<dd><p>AdaDelta method. The details of adadelta please refer to this
-<a class="reference external" href="http://www.matthewzeiler.com/pubs/googleTR2012/googleTR2012.pdf">ADADELTA: AN ADAPTIVE LEARNING RATE METHOD</a>.</p>
-<div class="math">
-\[\begin{split}E(g_t^2) &amp;= \rho * E(g_{t-1}^2) + (1-\rho) * g^2 \\
-learning\_rate &amp;= sqrt( ( E(dx_{t-1}^2) + \epsilon ) / ( \
-                  E(g_t^2) + \epsilon ) ) \\
-E(dx_t^2) &amp;= \rho * E(dx_{t-1}^2) + (1-\rho) * (-g*learning\_rate)^2\end{split}\]</div>
-<table class="docutils field-list" frame="void" rules="none">
-<col class="field-name" />
-<col class="field-body" />
-<tbody valign="top">
-<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
-<li><strong>rho</strong> (<em>float</em>) &#8211; <span class="math">\(\rho\)</span> in equation</li>
-<li><strong>epsilon</strong> (<em>float</em>) &#8211; <span class="math">\(\rho\)</span> in equation</li>
-</ul>
-</td>
-</tr>
-</tbody>
-</table>
-</dd></dl>
-
-</div>
-<div class="section" id="rmsprop">
-<h2>RMSProp<a class="headerlink" href="#rmsprop" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.optimizer.</code><code class="descname">RMSProp</code><span class="sig-paren">(</span><em>rho=0.95</em>, <em>epsilon=1e-06</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
-<dd><p>RMSProp(for Root Mean Square Propagation) optimizer. For details please
-refer this <a class="reference external" href="http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf">slide</a>.</p>
-<p>The equations of this method as follows:</p>
-<div class="math">
-\[\begin{split}v(w, t) &amp; = \rho v(w, t-1) + (1 - \rho)(\nabla Q_{i}(w))^2 \\
-w &amp; = w - \frac{\eta} {\sqrt{v(w,t) + \epsilon}} \nabla Q_{i}(w)\end{split}\]</div>
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-<li><strong>rho</strong> (<em>float</em>) &#8211; the <span class="math">\(\rho\)</span> in the equation. The forgetting factor.</li>
-<li><strong>epsilon</strong> (<em>float</em>) &#8211; the <span class="math">\(\epsilon\)</span> in the equation.</li>
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develop/doc/api/v2/config/pooling.html

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-            
-  <div class="section" id="pooling">
-<h1>Pooling<a class="headerlink" href="#pooling" title="Permalink to this headline">¶</a></h1>
-<div class="section" id="basepool">
-<h2>BasePool<a class="headerlink" href="#basepool" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.pooling.</code><code class="descname">BasePool</code><span class="sig-paren">(</span><em>name</em><span class="sig-paren">)</span></dt>
-<dd><p>Base Pooling Type.
-Note these pooling types are used for sequence input, not for images.
-Each PoolingType contains one parameter:</p>
-<table class="docutils field-list" frame="void" rules="none">
-<col class="field-name" />
-<col class="field-body" />
-<tbody valign="top">
-<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>name</strong> (<em>basestring</em>) &#8211; pooling layer type name used by paddle.</td>
-</tr>
-</tbody>
-</table>
-</dd></dl>
-
-</div>
-<div class="section" id="avg">
-<h2>Avg<a class="headerlink" href="#avg" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.pooling.</code><code class="descname">Avg</code><span class="sig-paren">(</span><em>strategy='average'</em><span class="sig-paren">)</span></dt>
-<dd><p>Average pooling.</p>
-<p>Return the average values for each dimension in sequence or time steps.</p>
-<div class="math">
-\[sum(samples\_of\_a\_sequence)/sample\_num\]</div>
-</dd></dl>
-
-</div>
-<div class="section" id="max">
-<h2>Max<a class="headerlink" href="#max" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.pooling.</code><code class="descname">Max</code><span class="sig-paren">(</span><em>output_max_index=None</em><span class="sig-paren">)</span></dt>
-<dd><p>Max pooling.</p>
-<p>Return the very large values for each dimension in sequence or time steps.</p>
-<div class="math">
-\[max(samples\_of\_a\_sequence)\]</div>
-<table class="docutils field-list" frame="void" rules="none">
-<col class="field-name" />
-<col class="field-body" />
-<tbody valign="top">
-<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>output_max_index</strong> (<em>bool|None</em>) &#8211; True if output sequence max index instead of max
-value. None means use default value in proto.</td>
-</tr>
-</tbody>
-</table>
-</dd></dl>
-
-</div>
-<div class="section" id="sum">
-<h2>Sum<a class="headerlink" href="#sum" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.pooling.</code><code class="descname">Sum</code></dt>
-<dd><p>Sum pooling.</p>
-<p>Return the sum values of each dimension in sequence or time steps.</p>
-<div class="math">
-\[sum(samples\_of\_a\_sequence)\]</div>
-</dd></dl>
-
-</div>
-<div class="section" id="squarerootn">
-<h2>SquareRootN<a class="headerlink" href="#squarerootn" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.pooling.</code><code class="descname">SquareRootN</code></dt>
-<dd><p>Square Root Pooling.</p>
-<p>Return the square root values of each dimension in sequence or time steps.</p>
-<div class="math">
-\[sum(samples\_of\_a\_sequence)/sqrt(sample\_num)\]</div>
-</dd></dl>
-
-</div>
-<div class="section" id="cudnnavg">
-<h2>CudnnAvg<a class="headerlink" href="#cudnnavg" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.pooling.</code><code class="descname">CudnnAvg</code></dt>
-<dd><p>Cudnn average pooling only support GPU. Return the average value in the
-pooling window.</p>
-</dd></dl>
-
-</div>
-<div class="section" id="cudnnmax">
-<h2>CudnnMax<a class="headerlink" href="#cudnnmax" title="Permalink to this headline">¶</a></h2>
-<dl class="class">
-<dt>
-<em class="property">class </em><code class="descclassname">paddle.v2.pooling.</code><code class="descname">CudnnMax</code></dt>
-<dd><p>Cudnn max pooling only support GPU. Return the maxinum value in the
-pooling window.</p>
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develop/doc_cn/_sources/api/index_cn.rst.txt

-API
-===
-
-..  toctree::
-    :maxdepth: 1
-
-    模型配置 <v2/model_configs.rst>
-    数据访问 <v2/data.rst>
-    训练与应用 <v2/run_logic.rst>
-    v2/fluid.rst

develop/doc_cn/_sources/api/v2/config/attr.rst.txt

-Parameter Attribute
-===================
-
-..  automodule:: paddle.v2.attr
-    :members:
-    :noindex:

develop/doc_cn/_sources/api/v2/config/optimizer.rst.txt

-==========
-Optimizer
-==========
-
-Momentum
-========
-..  automodule:: paddle.v2.optimizer
-    :members: Momentum
-    :noindex:
-
-Adam
-====
-..  automodule:: paddle.v2.optimizer
-    :members: Adam
-    :noindex:
-
-Adamax
-======
-..  automodule:: paddle.v2.optimizer
-    :members: Adamax
-    :noindex:
-
-AdaGrad
-=======
-..  automodule:: paddle.v2.optimizer
-    :members: AdaGrad
-    :noindex:
-
-DecayedAdaGrad
-==============
-..  automodule:: paddle.v2.optimizer
-    :members: DecayedAdaGrad
-    :noindex:
-
-AdaDelta
-========
-..  automodule:: paddle.v2.optimizer
-    :members: AdaDelta
-    :noindex:
-
-RMSProp
-=======
-..  automodule:: paddle.v2.optimizer
-    :members: RMSProp
-    :noindex:

develop/doc_cn/_sources/api/v2/data.rst.txt

-==================================
-Data Reader Interface and DataSets
-==================================
-
-..  toctree::
-    :maxdepth: 1
-
-    data/data_reader.rst
-    data/image.rst
-    data/dataset.rst

develop/doc_cn/_sources/api/v2/data/image.rst.txt

-Image Interface
-===============
-
-..  automodule:: paddle.v2.image
-    :members: