Deploy to GitHub Pages: 845058ae

develop/api_doc/.buildinfo

+# Sphinx build info version 1
+# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
+config: 4d7a146cda87e1e0222ce8a24b0ea6b4
+tags: 645f666f9bcd5a90fca523b33c5a78b7

develop/api_doc/_sources/index_en.rst.txt

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

develop/api_doc/_sources/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/api_doc/_sources/v2/config/attr.rst.txt

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

develop/api_doc/_sources/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/api_doc/_sources/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/api_doc/_sources/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/api_doc/_sources/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/api_doc/_sources/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/api_doc/_sources/v2/data.rst.txt

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

develop/api_doc/_sources/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/api_doc/_sources/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/api_doc/_sources/v2/data/image.rst.txt

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

develop/api_doc/_sources/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/api_doc/_sources/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/api_doc/_sources/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/api_doc/_sources/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/api_doc/_sources/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/api_doc/_sources/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/api_doc/_sources/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:
+
+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/api_doc/_sources/v2/fluid/nets.rst.txt

+..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
+    !DO NOT EDIT THIS FILE MANUALLY!
+
+====
+nets
+====
+
+simple_img_conv_pool
+--------------------
+
+..  autofunction:: paddle.v2.fluid.nets.simple_img_conv_pool
+    :noindex:
+
+sequence_conv_pool
+------------------
+
+..  autofunction:: paddle.v2.fluid.nets.sequence_conv_pool
+    :noindex:
+
+glu
+---
+
+..  autofunction:: paddle.v2.fluid.nets.glu
+    :noindex:
+
+scaled_dot_product_attention
+----------------------------
+
+..  autofunction:: paddle.v2.fluid.nets.scaled_dot_product_attention
+    :noindex:
+

develop/api_doc/_sources/v2/fluid/optimizer.rst.txt

+..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
+    !DO NOT EDIT THIS FILE MANUALLY!
+
+=========
+optimizer
+=========
+
+SGD
+---
+
+..  autoclass:: paddle.v2.fluid.optimizer.SGD
+    :members:
+    :noindex:
+
+Momentum
+--------
+
+..  autoclass:: paddle.v2.fluid.optimizer.Momentum
+    :members:
+    :noindex:
+
+Adagrad
+-------
+
+..  autoclass:: paddle.v2.fluid.optimizer.Adagrad
+    :members:
+    :noindex:
+
+Adam
+----
+
+..  autoclass:: paddle.v2.fluid.optimizer.Adam
+    :members:
+    :noindex:
+
+Adamax
+------
+
+..  autoclass:: paddle.v2.fluid.optimizer.Adamax
+    :members:
+    :noindex:
+
+DecayedAdagrad
+--------------
+
+..  autoclass:: paddle.v2.fluid.optimizer.DecayedAdagrad
+    :members:
+    :noindex:
+

develop/api_doc/_sources/v2/fluid/param_attr.rst.txt

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

develop/api_doc/_sources/v2/fluid/profiler.rst.txt

+..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
+    !DO NOT EDIT THIS FILE MANUALLY!
+
+========
+profiler
+========
+
+cuda_profiler
+-------------
+
+..  autofunction:: paddle.v2.fluid.profiler.cuda_profiler
+    :noindex:
+
+reset_profiler
+--------------
+
+..  autofunction:: paddle.v2.fluid.profiler.reset_profiler
+    :noindex:
+
+profiler
+--------
+
+..  autofunction:: paddle.v2.fluid.profiler.profiler
+    :noindex:
+

develop/api_doc/_sources/v2/fluid/regularizer.rst.txt

+..  THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
+    !DO NOT EDIT THIS FILE MANUALLY!
+
+===========
+regularizer
+===========
+
+append_regularization_ops
+-------------------------
+
+..  autofunction:: paddle.v2.fluid.regularizer.append_regularization_ops
+    :noindex:
+
+L1Decay
+-------
+
+..  autoclass:: paddle.v2.fluid.regularizer.L1Decay
+    :members:
+    :noindex:
+
+L2Decay
+-------
+
+..  autoclass:: paddle.v2.fluid.regularizer.L2Decay
+    :members:
+    :noindex:
+

develop/api_doc/_sources/v2/model_configs.rst.txt

+Model Configuration
+===================
+
+..  toctree::
+    :maxdepth: 1
+
+    config/activation.rst
+    config/layer.rst
+    config/evaluators.rst
+    config/optimizer.rst
+    config/pooling.rst
+    config/networks.rst
+    config/attr.rst

develop/api_doc/_sources/v2/run_logic.rst.txt

+======================
+Training and Inference
+======================
+
+Parameters
+==========
+
+..  automodule:: paddle.v2.parameters
+    :members: Parameters
+    :noindex:
+
+Trainer
+=======
+
+..  automodule:: paddle.v2.trainer
+    :members: SGD
+    :noindex:
+
+Event
+=====
+
+..  automodule:: paddle.v2.event
+    :members:
+    :noindex:
+
+Inference
+=========
+
+..  autofunction:: paddle.v2.infer
+    :noindex:
+    
\ No newline at end of file

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+    display: flex;
+    flex-flow: row nowrap;
+    justify-content: space-between;
+    box-shadow: #ccc 0 3px 3px;
+}
+.site-header > div {
+    height: 80px;
+    display: inline-block;
+    background-color: #2f323a;
+    padding: 0 30px;
+}
+.site-header .site-logo {
+    line-height: 80px;
+    width: 290px;
+    flex: 0 1 290px;
+}
+.site-header .site-logo > a {
+    display: inline-block;
+    width: 230px;
+}
+.site-header .site-nav-links {
+    flex: 0 1 100%;
+}
+.site-header .site-nav-links .site-menu {
+    height: 30px;
+    line-height: 30px; 
+    font-size: 12px;
+    background: -webkit-linear-gradient(#282b33, #2f323a);
+    background: -o-linear-gradient(#282b33, #2f323a);
+    background: -moz-linear-gradient(#282b33, #2f323a);
+    background: linear-gradient(to left, #282b33, #2f323a);
+    margin-right: -30px;
+    padding-right: 30px;
+}
+.site-header .site-nav-links .site-menu .site-page-links {
+    display: inline-block;
+    float: right;
+    margin-right: 20px;
+}
+.site-header .site-nav-links .site-menu .site-page-links> li {
+    display: inline-block;
+    float: left;
+}
+.site-header .site-nav-links .site-menu .site-page-links > li > a {
+    color: #a7adbd;
+    display: inline-block;
+    height: 30px;
+    padding: 0 20px;
+    font-size: 12px;
+}
+.site-header .site-nav-links .site-menu .site-page-links > li:hover > a,
+.site-header .site-nav-links .site-menu .site-page-links > li.active > a {
+    background-color: #2f323a;
+    color: #bcc1d0;
+}
+.site-header .site-nav-links .site-menu .site-page-links > li.active > a {
+    font-weight: bold;
+}
+.site-header .site-nav-links .site-menu .fork-on-github {
+    color: #597cf1;
+    line-height: 30px;
+    display: inline-block;
+    padding: 0 0 0 20px;
+    float: right;
+    position: relative;
+}
+.site-header .site-nav-links .site-menu .fork-on-github .fa {
+    margin-right: 5px;
+    font-size: 16px;
+    vertical-align: middle;
+}
+.site-header .site-nav-links .site-menu .language-switcher {
+    height: 30px;
+    display: inline-block;
+    float: right;
+    line-height: 30px;
+    padding: 0 20px;
+    position: relative;
+}
+.site-header .site-nav-links .site-menu .language-switcher > a {
+    color: #a7adbd;
+}
+.site-header .site-nav-links .site-menu .language-switcher.open > a {
+    background-color: #24272f;
+    color: #bcc1d0;
+}
+.site-header .site-nav-links .site-menu .language-switcher .fa {
+    margin-left: 5px;
+}
+.site-header .site-nav-links .site-menu .language-switcher .fa-angle-down {
+    display: inline;
+}
+.site-header .site-nav-links .site-menu .language-switcher.open .fa-angle-down {
+    display: none;
+}
+.site-header .site-nav-links .site-menu .language-switcher .fa-angle-up {
+    display: none;
+}
+.site-header .site-nav-links .site-menu .language-switcher.open .fa-angle-up {
+    display: inline;
+}
+.site-header .site-nav-links .site-menu .fork-on-github:before,
+.site-header .site-nav-links .site-menu .language-switcher:before {
+    width: 1px;
+    height: 12px;
+    top: 9px;
+    background-color: #3a3d47;
+    left: 0;
+    display: inline-block;
+    position: absolute;
+    content: "";
+}
+.site-header .site-nav-links .site-menu .language-switcher .dropdown-menu {
+    display: none;
+    position: absolute;
+    box-shadow: #ccc 0 0 5px;
+    background-color: #fff;
+    width: 100%;
+    left: 0;
+    top: 30px;
+}
+.site-header .site-nav-links .site-menu .language-switcher .dropdown-menu > li {
+    line-height: 30px;
+    padding: 0 20px;
+}
+.site-header .site-nav-links .site-menu .language-switcher .dropdown-menu > li:hover {
+    background-color: #f7f8fe;
+}
+.site-header .site-nav-links .site-menu .language-switcher .dropdown-menu > li + li {
+    border-top: 1px solid #dedfe5;
+}
+.site-header .site-nav-links .site-menu .language-switcher .dropdown-menu > li > a {
+    color: #2f323a;
+}
+.site-header .site-nav-links .site-menu .language-switcher.open .dropdown-menu {
+    display: inline-block;
+}
+.site-header .site-nav-links .doc-module {
+    display: block;
+    height: 50px;
+    line-height: 50px;
+}
+.site-header .site-nav-links .doc-module > ul > li {
+    display: inline-block;
+    float: left;
+}
+.site-header .site-nav-links .doc-module > ul > li > a {
+    color: #c9cbd0;
+    font-size: 14px;
+    display: inline-block;
+    height: 50px;
+    line-height: 50px;
+    border-bottom: 2px solid transparent;
+    padding: 0 20px;
+}
+.site-header .site-nav-links .doc-module > ul > li:hover > a {
+    color: #fff;
+}
+.site-header .site-nav-links .doc-module > ul > li.current > a {
+    border-bottom-color: #fff;
+    color: #fff;
+}
+.site-header .site-nav-links .doc-module [role="search"]{
+    float: right;
+}
+.site-header .site-nav-links .doc-module [role="search"] input {
+    background-color: #3a3d47;
+    border-radius: 15px;
+    color: #a7adbd;
+    border: 1px solid transparent;
+    padding: 6px 15px;
+    width: 180px;
+    box-shadow: none;
+    transition: all .2s;
+    -webkit-transition: all .2s;
+    -moz-transition: all .2s;
+    -o-transition: all .2s;
+    background-repeat: no-repeat;
+    background-position: 145px center;
+    background-image: url("data:image/png;base64,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");
+}
+.site-header .site-nav-links .doc-module [role="search"] input:focus {
+   width: 300px;
+}
+.site-header .site-nav-links .doc-module [role="search"] input:focus {
+    background-position: 265px center;
+}
+.site-header .site-nav-links .doc-module [role="search"] input:hover,
+.site-header .site-nav-links .doc-module [role="search"] input:focus {
+   color: #fff;
+   border-color: #597cf1;
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+}
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+    content: "";
+    width: 6px;
+    height: 6px;
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+    margin: 17px 22px;
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+}
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+}
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+    content: "";
+    width: 6px;
+    height: 6px;
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+    margin: 17px 22px;
+    float: left;
+}
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+    width: 100%;
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+    bottom: 0;
+    overflow: auto;
+    background-color: #f6f7f8;
+}
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+    height: 100%;
+    position: relative;
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+    background-color: #fff;
+}
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+    top: 0;
+    width: 100%;
+    left: 0;
+    padding: 0 30px;
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+}
+.wy-breadcrumbs {
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+    height: 60px;
+    background-image: url("data:image/png;base64,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");
+    background-repeat: repeat no-repeat;
+    background-position: center 50px;
+}
+.wy-breadcrumbs > li {
+    color: #ccc;
+}
+.wy-breadcrumbs > li a {
+    color: #ff9711;
+    padding: 0;
+}
+.wy-breadcrumbs > li:first-child a {
+    color: #597cf1;
+}
+.wy-nav-content{
+    max-width: none;
+    overflow: auto;
+    position: relative;
+    padding: 30px;
+    background-color: #fff;
+}
+.wy-nav-content h1 {
+    font-size: 24px;
+    color: #2f323a;
+    margin-bottom: 30px;
+}
+.wy-nav-content h2 {
+    font-size: 20px;
+    color: #2f323a;
+    margin-bottom: 30px;
+}
+.wy-nav-content h3 {
+    font-size: 18px;
+    color: #2f323a;
+    margin-bottom: 30px;
+}
+.wy-nav-content h4 {
+    font-size: 16px;
+    color: #2f323a;
+    margin-bottom: 30px;
+}
+.wy-nav-content p + h1,
+.wy-nav-content p + h2,
+.wy-nav-content p + h3,
+.wy-nav-content p + h4 {
+    margin-top: 20px;
+}
+.wy-nav-content p{
+    color: #2f323a;
+    margin-bottom: 20px;
+    font-size: 14px;
+}
+#search-results h2 {
+    font-size: 24px;
+    margin: 20px 0 10px 0;
+}
+#search-results p {
+    color: #a7adbd;
+}
+#search-results ul.search > li {
+    border-bottom: none;
+}
+#search-results ul.search > li > a {
+    color: #597cf1;
+}
+.rst-content .highlighted{
+    background-color: transparent;
+    color: #ff9711;
+    padding: 0;
+}

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+/*# sourceMappingURL=theme.css.map */

develop/api_doc/_static/doctools.js

+/*
+ * doctools.js
+ * ~~~~~~~~~~~
+ *
+ * Sphinx JavaScript utilities for all documentation.
+ *
+ * :copyright: Copyright 2007-2017 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+/**
+ * select a different prefix for underscore
+ */
+$u = _.noConflict();
+
+/**
+ * make the code below compatible with browsers without
+ * an installed firebug like debugger
+if (!window.console || !console.firebug) {
+  var names = ["log", "debug", "info", "warn", "error", "assert", "dir",
+    "dirxml", "group", "groupEnd", "time", "timeEnd", "count", "trace",
+    "profile", "profileEnd"];
+  window.console = {};
+  for (var i = 0; i < names.length; ++i)
+    window.console[names[i]] = function() {};
+}
+ */
+
+/**
+ * small helper function to urldecode strings
+ */
+jQuery.urldecode = function(x) {
+  return decodeURIComponent(x).replace(/\+/g, ' ');
+};
+
+/**
+ * small helper function to urlencode strings
+ */
+jQuery.urlencode = encodeURIComponent;
+
+/**
+ * This function returns the parsed url parameters of the
+ * current request. Multiple values per key are supported,
+ * it will always return arrays of strings for the value parts.
+ */
+jQuery.getQueryParameters = function(s) {
+  if (typeof s == 'undefined')
+    s = document.location.search;
+  var parts = s.substr(s.indexOf('?') + 1).split('&');
+  var result = {};
+  for (var i = 0; i < parts.length; i++) {
+    var tmp = parts[i].split('=', 2);
+    var key = jQuery.urldecode(tmp[0]);
+    var value = jQuery.urldecode(tmp[1]);
+    if (key in result)
+      result[key].push(value);
+    else
+      result[key] = [value];
+  }
+  return result;
+};
+
+/**
+ * highlight a given string on a jquery object by wrapping it in
+ * span elements with the given class name.
+ */
+jQuery.fn.highlightText = function(text, className) {
+  function highlight(node) {
+    if (node.nodeType == 3) {
+      var val = node.nodeValue;
+      var pos = val.toLowerCase().indexOf(text);
+      if (pos >= 0 && !jQuery(node.parentNode).hasClass(className)) {
+        var span = document.createElement("span");
+        span.className = className;
+        span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+        node.parentNode.insertBefore(span, node.parentNode.insertBefore(
+          document.createTextNode(val.substr(pos + text.length)),
+          node.nextSibling));
+        node.nodeValue = val.substr(0, pos);
+      }
+    }
+    else if (!jQuery(node).is("button, select, textarea")) {
+      jQuery.each(node.childNodes, function() {
+        highlight(this);
+      });
+    }
+  }
+  return this.each(function() {
+    highlight(this);
+  });
+};
+
+/*
+ * backward compatibility for jQuery.browser
+ * This will be supported until firefox bug is fixed.
+ */
+if (!jQuery.browser) {
+  jQuery.uaMatch = function(ua) {
+    ua = ua.toLowerCase();
+
+    var match = /(chrome)[ \/]([\w.]+)/.exec(ua) ||
+      /(webkit)[ \/]([\w.]+)/.exec(ua) ||
+      /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) ||
+      /(msie) ([\w.]+)/.exec(ua) ||
+      ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) ||
+      [];
+
+    return {
+      browser: match[ 1 ] || "",
+      version: match[ 2 ] || "0"
+    };
+  };
+  jQuery.browser = {};
+  jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true;
+}
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+var Documentation = {
+
+  init : function() {
+    this.fixFirefoxAnchorBug();
+    this.highlightSearchWords();
+    this.initIndexTable();
+    
+  },
+
+  /**
+   * i18n support
+   */
+  TRANSLATIONS : {},
+  PLURAL_EXPR : function(n) { return n == 1 ? 0 : 1; },
+  LOCALE : 'unknown',
+
+  // gettext and ngettext don't access this so that the functions
+  // can safely bound to a different name (_ = Documentation.gettext)
+  gettext : function(string) {
+    var translated = Documentation.TRANSLATIONS[string];
+    if (typeof translated == 'undefined')
+      return string;
+    return (typeof translated == 'string') ? translated : translated[0];
+  },
+
+  ngettext : function(singular, plural, n) {
+    var translated = Documentation.TRANSLATIONS[singular];
+    if (typeof translated == 'undefined')
+      return (n == 1) ? singular : plural;
+    return translated[Documentation.PLURALEXPR(n)];
+  },
+
+  addTranslations : function(catalog) {
+    for (var key in catalog.messages)
+      this.TRANSLATIONS[key] = catalog.messages[key];
+    this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')');
+    this.LOCALE = catalog.locale;
+  },
+
+  /**
+   * add context elements like header anchor links
+   */
+  addContextElements : function() {
+    $('div[id] > :header:first').each(function() {
+      $('<a class="headerlink">\u00B6</a>').
+      attr('href', '#' + this.id).
+      attr('title', _('Permalink to this headline')).
+      appendTo(this);
+    });
+    $('dt[id]').each(function() {
+      $('<a class="headerlink">\u00B6</a>').
+      attr('href', '#' + this.id).
+      attr('title', _('Permalink to this definition')).
+      appendTo(this);
+    });
+  },
+
+  /**
+   * workaround a firefox stupidity
+   * see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075
+   */
+  fixFirefoxAnchorBug : function() {
+    if (document.location.hash)
+      window.setTimeout(function() {
+        document.location.href += '';
+      }, 10);
+  },
+
+  /**
+   * highlight the search words provided in the url in the text
+   */
+  highlightSearchWords : function() {
+    var params = $.getQueryParameters();
+    var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : [];
+    if (terms.length) {
+      var body = $('div.body');
+      if (!body.length) {
+        body = $('body');
+      }
+      window.setTimeout(function() {
+        $.each(terms, function() {
+          body.highlightText(this.toLowerCase(), 'highlighted');
+        });
+      }, 10);
+      $('<p class="highlight-link"><a href="javascript:Documentation.' +
+        'hideSearchWords()">' + _('Hide Search Matches') + '</a></p>')
+          .appendTo($('#searchbox'));
+    }
+  },
+
+  /**
+   * init the domain index toggle buttons
+   */
+  initIndexTable : function() {
+    var togglers = $('img.toggler').click(function() {
+      var src = $(this).attr('src');
+      var idnum = $(this).attr('id').substr(7);
+      $('tr.cg-' + idnum).toggle();
+      if (src.substr(-9) == 'minus.png')
+        $(this).attr('src', src.substr(0, src.length-9) + 'plus.png');
+      else
+        $(this).attr('src', src.substr(0, src.length-8) + 'minus.png');
+    }).css('display', '');
+    if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) {
+        togglers.click();
+    }
+  },
+
+  /**
+   * helper function to hide the search marks again
+   */
+  hideSearchWords : function() {
+    $('#searchbox .highlight-link').fadeOut(300);
+    $('span.highlighted').removeClass('highlighted');
+  },
+
+  /**
+   * make the url absolute
+   */
+  makeURL : function(relativeURL) {
+    return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL;
+  },
+
+  /**
+   * get the current relative url
+   */
+  getCurrentURL : function() {
+    var path = document.location.pathname;
+    var parts = path.split(/\//);
+    $.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() {
+      if (this == '..')
+        parts.pop();
+    });
+    var url = parts.join('/');
+    return path.substring(url.lastIndexOf('/') + 1, path.length - 1);
+  },
+
+  initOnKeyListeners: function() {
+    $(document).keyup(function(event) {
+      var activeElementType = document.activeElement.tagName;
+      // don't navigate when in search box or textarea
+      if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT') {
+        switch (event.keyCode) {
+          case 37: // left
+            var prevHref = $('link[rel="prev"]').prop('href');
+            if (prevHref) {
+              window.location.href = prevHref;
+              return false;
+            }
+          case 39: // right
+            var nextHref = $('link[rel="next"]').prop('href');
+            if (nextHref) {
+              window.location.href = nextHref;
+              return false;
+            }
+        }
+      }
+    });
+  }
+};
+
+// quick alias for translations
+_ = Documentation.gettext;
+
+$(document).ready(function() {
+  Documentation.init();
+});
\ No newline at end of file

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develop/api_doc/_static/js/paddle_doc_init.js

+$(document).ready(function(){
+    $('.local-toc').on('click' ,'a.reference.internal', function (){
+        $('.local-toc li.active').removeClass('active');
+        $(this).parent('li').addClass('active');
+    });
+
+    if ($('.local-toc a:visible').length) {
+        $('.local-toc > ul').addClass('nav nav-stacked');
+        $('#doc-content').scrollspy({
+            target: '.local-toc'
+        });
+		$('.local-toc').perfectScrollbar();
+    } else {
+		$('.doc-content-wrap').css('margin-left', '-=50px');
+        $('.local-toc').remove();
+    }
+
+    if (!$('.doc-menu-vertical > ul > li.current > ul').length) {
+        $('.doc-content-wrap').css('margin-left', '-=240px');
+        $('.doc-menu-vertical').remove();
+        $('.local-toc').css('left', '0');
+    }
+
+	$('.doc-menu-vertical .toctree-l2').each(function (i, e){
+        $(e).toggleClass('has-child', !!$(e).find('ul').length);
+    });
+
+    $('.doc-menu-vertical').find('li.current').last().addClass('active');
+
+    $('.doc-menu-vertical').perfectScrollbar();
+});

develop/api_doc/_static/js/theme.js

+require=(function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o<r.length;o++)s(r[o]);return s})({"sphinx-rtd-theme":[function(require,module,exports){
+var jQuery = (typeof(window) != 'undefined') ? window.jQuery : require('jquery');
+
+// Sphinx theme nav state
+function ThemeNav () {
+
+    var nav = {
+        navBar: null,
+        win: null,
+        winScroll: false,
+        winResize: false,
+        linkScroll: false,
+        winPosition: 0,
+        winHeight: null,
+        docHeight: null,
+        isRunning: null
+    };
+
+    nav.enable = function () {
+        var self = this;
+
+        jQuery(function ($) {
+            self.init($);
+
+            self.reset();
+            self.win.on('hashchange', self.reset);
+
+            // Set scroll monitor
+            self.win.on('scroll', function () {
+                if (!self.linkScroll) {
+                    self.winScroll = true;
+                }
+            });
+            setInterval(function () { if (self.winScroll) self.onScroll(); }, 25);
+
+            // Set resize monitor
+            self.win.on('resize', function () {
+                self.winResize = true;
+            });
+            setInterval(function () { if (self.winResize) self.onResize(); }, 25);
+            self.onResize();
+        });
+    };
+
+    nav.init = function ($) {
+        var doc = $(document),
+            self = this;
+
+        this.navBar = $('div.wy-side-scroll:first');
+        this.win = $(window);
+
+        // Set up javascript UX bits
+        $(document)
+            // Shift nav in mobile when clicking the menu.
+            .on('click', "[data-toggle='wy-nav-top']", function() {
+                $("[data-toggle='wy-nav-shift']").toggleClass("shift");
+                $("[data-toggle='rst-versions']").toggleClass("shift");
+            })
+
+            // Nav menu link click operations
+            .on('click', ".wy-menu-vertical .current ul li a", function() {
+                var target = $(this);
+                // Close menu when you click a link.
+                $("[data-toggle='wy-nav-shift']").removeClass("shift");
+                $("[data-toggle='rst-versions']").toggleClass("shift");
+                // Handle dynamic display of l3 and l4 nav lists
+                self.toggleCurrent(target);
+                self.hashChange();
+            })
+            .on('click', "[data-toggle='rst-current-version']", function() {
+                $("[data-toggle='rst-versions']").toggleClass("shift-up");
+            })
+
+        // Make tables responsive
+        $("table.docutils:not(.field-list)")
+            .wrap("<div class='wy-table-responsive'></div>");
+
+        // Add expand links to all parents of nested ul
+        $('.wy-menu-vertical ul').not('.simple').siblings('a').each(function () {
+            var link = $(this);
+                expand = $('<span class="toctree-expand"></span>');
+            expand.on('click', function (ev) {
+                self.toggleCurrent(link);
+                ev.stopPropagation();
+                return false;
+            });
+            link.prepend(expand);
+        });
+    };
+
+    nav.reset = function () {
+        // Get anchor from URL and open up nested nav
+        var anchor = encodeURI(window.location.hash);
+        if (anchor) {
+            try {
+                var link = $('.wy-menu-vertical')
+                    .find('[href="' + anchor + '"]');
+                $('.wy-menu-vertical li.toctree-l1 li.current')
+                    .removeClass('current');
+                link.closest('li.toctree-l2').addClass('current');
+                link.closest('li.toctree-l3').addClass('current');
+                link.closest('li.toctree-l4').addClass('current');
+            }
+            catch (err) {
+                console.log("Error expanding nav for anchor", err);
+            }
+        }
+    };
+
+    nav.onScroll = function () {
+        this.winScroll = false;
+        var newWinPosition = this.win.scrollTop(),
+            winBottom = newWinPosition + this.winHeight,
+            navPosition = this.navBar.scrollTop(),
+            newNavPosition = navPosition + (newWinPosition - this.winPosition);
+        if (newWinPosition < 0 || winBottom > this.docHeight) {
+            return;
+        }
+        this.navBar.scrollTop(newNavPosition);
+        this.winPosition = newWinPosition;
+    };
+
+    nav.onResize = function () {
+        this.winResize = false;
+        this.winHeight = this.win.height();
+        this.docHeight = $(document).height();
+    };
+
+    nav.hashChange = function () {
+        this.linkScroll = true;
+        this.win.one('hashchange', function () {
+            this.linkScroll = false;
+        });
+    };
+
+    nav.toggleCurrent = function (elem) {
+        var parent_li = elem.closest('li');
+        parent_li.siblings('li.current').removeClass('current');
+        parent_li.siblings().find('li.current').removeClass('current');
+        parent_li.find('> ul li.current').removeClass('current');
+        parent_li.toggleClass('current');
+    }
+
+    return nav;
+};
+
+module.exports.ThemeNav = ThemeNav();
+
+if (typeof(window) != 'undefined') {
+    window.SphinxRtdTheme = { StickyNav: module.exports.ThemeNav };
+}
+
+},{"jquery":"jquery"}]},{},["sphinx-rtd-theme"]);

develop/api_doc/_static/pygments.css

+.highlight .hll { background-color: #ffffcc }
+.highlight  { background: #eeffcc; }
+.highlight .c { color: #408090; font-style: italic } /* Comment */
+.highlight .err { border: 1px solid #FF0000 } /* Error */
+.highlight .k { color: #007020; font-weight: bold } /* Keyword */
+.highlight .o { color: #666666 } /* Operator */
+.highlight .ch { color: #408090; font-style: italic } /* Comment.Hashbang */
+.highlight .cm { color: #408090; font-style: italic } /* Comment.Multiline */
+.highlight .cp { color: #007020 } /* Comment.Preproc */
+.highlight .cpf { color: #408090; font-style: italic } /* Comment.PreprocFile */
+.highlight .c1 { color: #408090; font-style: italic } /* Comment.Single */
+.highlight .cs { color: #408090; background-color: #fff0f0 } /* Comment.Special */
+.highlight .gd { color: #A00000 } /* Generic.Deleted */
+.highlight .ge { font-style: italic } /* Generic.Emph */
+.highlight .gr { color: #FF0000 } /* Generic.Error */
+.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
+.highlight .gi { color: #00A000 } /* Generic.Inserted */
+.highlight .go { color: #333333 } /* Generic.Output */
+.highlight .gp { color: #c65d09; font-weight: bold } /* Generic.Prompt */
+.highlight .gs { font-weight: bold } /* Generic.Strong */
+.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
+.highlight .gt { color: #0044DD } /* Generic.Traceback */
+.highlight .kc { color: #007020; font-weight: bold } /* Keyword.Constant */
+.highlight .kd { color: #007020; font-weight: bold } /* Keyword.Declaration */
+.highlight .kn { color: #007020; font-weight: bold } /* Keyword.Namespace */
+.highlight .kp { color: #007020 } /* Keyword.Pseudo */
+.highlight .kr { color: #007020; font-weight: bold } /* Keyword.Reserved */
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+.highlight .m { color: #208050 } /* Literal.Number */
+.highlight .s { color: #4070a0 } /* Literal.String */
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+.highlight .nb { color: #007020 } /* Name.Builtin */
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+.highlight .no { color: #60add5 } /* Name.Constant */
+.highlight .nd { color: #555555; font-weight: bold } /* Name.Decorator */
+.highlight .ni { color: #d55537; font-weight: bold } /* Name.Entity */
+.highlight .ne { color: #007020 } /* Name.Exception */
+.highlight .nf { color: #06287e } /* Name.Function */
+.highlight .nl { color: #002070; font-weight: bold } /* Name.Label */
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+.highlight .nv { color: #bb60d5 } /* Name.Variable */
+.highlight .ow { color: #007020; font-weight: bold } /* Operator.Word */
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develop/api_doc/_static/searchtools.js

+/*
+ * searchtools.js_t
+ * ~~~~~~~~~~~~~~~~
+ *
+ * Sphinx JavaScript utilities for the full-text search.
+ *
+ * :copyright: Copyright 2007-2017 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+
+/* Non-minified version JS is _stemmer.js if file is provided */ 
+/**
+ * Porter Stemmer
+ */
+var Stemmer = function() {
+
+  var step2list = {
+    ational: 'ate',
+    tional: 'tion',
+    enci: 'ence',
+    anci: 'ance',
+    izer: 'ize',
+    bli: 'ble',
+    alli: 'al',
+    entli: 'ent',
+    eli: 'e',
+    ousli: 'ous',
+    ization: 'ize',
+    ation: 'ate',
+    ator: 'ate',
+    alism: 'al',
+    iveness: 'ive',
+    fulness: 'ful',
+    ousness: 'ous',
+    aliti: 'al',
+    iviti: 'ive',
+    biliti: 'ble',
+    logi: 'log'
+  };
+
+  var step3list = {
+    icate: 'ic',
+    ative: '',
+    alize: 'al',
+    iciti: 'ic',
+    ical: 'ic',
+    ful: '',
+    ness: ''
+  };
+
+  var c = "[^aeiou]";          // consonant
+  var v = "[aeiouy]";          // vowel
+  var C = c + "[^aeiouy]*";    // consonant sequence
+  var V = v + "[aeiou]*";      // vowel sequence
+
+  var mgr0 = "^(" + C + ")?" + V + C;                      // [C]VC... is m>0
+  var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$";    // [C]VC[V] is m=1
+  var mgr1 = "^(" + C + ")?" + V + C + V + C;              // [C]VCVC... is m>1
+  var s_v   = "^(" + C + ")?" + v;                         // vowel in stem
+
+  this.stemWord = function (w) {
+    var stem;
+    var suffix;
+    var firstch;
+    var origword = w;
+
+    if (w.length < 3)
+      return w;
+
+    var re;
+    var re2;
+    var re3;
+    var re4;
+
+    firstch = w.substr(0,1);
+    if (firstch == "y")
+      w = firstch.toUpperCase() + w.substr(1);
+
+    // Step 1a
+    re = /^(.+?)(ss|i)es$/;
+    re2 = /^(.+?)([^s])s$/;
+
+    if (re.test(w))
+      w = w.replace(re,"$1$2");
+    else if (re2.test(w))
+      w = w.replace(re2,"$1$2");
+
+    // Step 1b
+    re = /^(.+?)eed$/;
+    re2 = /^(.+?)(ed|ing)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      re = new RegExp(mgr0);
+      if (re.test(fp[1])) {
+        re = /.$/;
+        w = w.replace(re,"");
+      }
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1];
+      re2 = new RegExp(s_v);
+      if (re2.test(stem)) {
+        w = stem;
+        re2 = /(at|bl|iz)$/;
+        re3 = new RegExp("([^aeiouylsz])\\1$");
+        re4 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+        if (re2.test(w))
+          w = w + "e";
+        else if (re3.test(w)) {
+          re = /.$/;
+          w = w.replace(re,"");
+        }
+        else if (re4.test(w))
+          w = w + "e";
+      }
+    }
+
+    // Step 1c
+    re = /^(.+?)y$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(s_v);
+      if (re.test(stem))
+        w = stem + "i";
+    }
+
+    // Step 2
+    re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step2list[suffix];
+    }
+
+    // Step 3
+    re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step3list[suffix];
+    }
+
+    // Step 4
+    re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
+    re2 = /^(.+?)(s|t)(ion)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      if (re.test(stem))
+        w = stem;
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1] + fp[2];
+      re2 = new RegExp(mgr1);
+      if (re2.test(stem))
+        w = stem;
+    }
+
+    // Step 5
+    re = /^(.+?)e$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      re2 = new RegExp(meq1);
+      re3 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+      if (re.test(stem) || (re2.test(stem) && !(re3.test(stem))))
+        w = stem;
+    }
+    re = /ll$/;
+    re2 = new RegExp(mgr1);
+    if (re.test(w) && re2.test(w)) {
+      re = /.$/;
+      w = w.replace(re,"");
+    }
+
+    // and turn initial Y back to y
+    if (firstch == "y")
+      w = firstch.toLowerCase() + w.substr(1);
+    return w;
+  }
+}
+
+
+
+/**
+ * Simple result scoring code.
+ */
+var Scorer = {
+  // Implement the following function to further tweak the score for each result
+  // The function takes a result array [filename, title, anchor, descr, score]
+  // and returns the new score.
+  /*
+  score: function(result) {
+    return result[4];
+  },
+  */
+
+  // query matches the full name of an object
+  objNameMatch: 11,
+  // or matches in the last dotted part of the object name
+  objPartialMatch: 6,
+  // Additive scores depending on the priority of the object
+  objPrio: {0:  15,   // used to be importantResults
+            1:  5,   // used to be objectResults
+            2: -5},  // used to be unimportantResults
+  //  Used when the priority is not in the mapping.
+  objPrioDefault: 0,
+
+  // query found in title
+  title: 15,
+  // query found in terms
+  term: 5
+};
+
+
+
+
+
+var splitChars = (function() {
+    var result = {};
+    var singles = [96, 180, 187, 191, 215, 247, 749, 885, 903, 907, 909, 930, 1014, 1648,
+         1748, 1809, 2416, 2473, 2481, 2526, 2601, 2609, 2612, 2615, 2653, 2702,
+         2706, 2729, 2737, 2740, 2857, 2865, 2868, 2910, 2928, 2948, 2961, 2971,
+         2973, 3085, 3089, 3113, 3124, 3213, 3217, 3241, 3252, 3295, 3341, 3345,
+         3369, 3506, 3516, 3633, 3715, 3721, 3736, 3744, 3748, 3750, 3756, 3761,
+         3781, 3912, 4239, 4347, 4681, 4695, 4697, 4745, 4785, 4799, 4801, 4823,
+         4881, 5760, 5901, 5997, 6313, 7405, 8024, 8026, 8028, 8030, 8117, 8125,
+         8133, 8181, 8468, 8485, 8487, 8489, 8494, 8527, 11311, 11359, 11687, 11695,
+         11703, 11711, 11719, 11727, 11735, 12448, 12539, 43010, 43014, 43019, 43587,
+         43696, 43713, 64286, 64297, 64311, 64317, 64319, 64322, 64325, 65141];
+    var i, j, start, end;
+    for (i = 0; i < singles.length; i++) {
+        result[singles[i]] = true;
+    }
+    var ranges = [[0, 47], [58, 64], [91, 94], [123, 169], [171, 177], [182, 184], [706, 709],
+         [722, 735], [741, 747], [751, 879], [888, 889], [894, 901], [1154, 1161],
+         [1318, 1328], [1367, 1368], [1370, 1376], [1416, 1487], [1515, 1519], [1523, 1568],
+         [1611, 1631], [1642, 1645], [1750, 1764], [1767, 1773], [1789, 1790], [1792, 1807],
+         [1840, 1868], [1958, 1968], [1970, 1983], [2027, 2035], [2038, 2041], [2043, 2047],
+         [2070, 2073], [2075, 2083], [2085, 2087], [2089, 2307], [2362, 2364], [2366, 2383],
+         [2385, 2391], [2402, 2405], [2419, 2424], [2432, 2436], [2445, 2446], [2449, 2450],
+         [2483, 2485], [2490, 2492], [2494, 2509], [2511, 2523], [2530, 2533], [2546, 2547],
+         [2554, 2564], [2571, 2574], [2577, 2578], [2618, 2648], [2655, 2661], [2672, 2673],
+         [2677, 2692], [2746, 2748], [2750, 2767], [2769, 2783], [2786, 2789], [2800, 2820],
+         [2829, 2830], [2833, 2834], [2874, 2876], [2878, 2907], [2914, 2917], [2930, 2946],
+         [2955, 2957], [2966, 2968], [2976, 2978], [2981, 2983], [2987, 2989], [3002, 3023],
+         [3025, 3045], [3059, 3076], [3130, 3132], [3134, 3159], [3162, 3167], [3170, 3173],
+         [3184, 3191], [3199, 3204], [3258, 3260], [3262, 3293], [3298, 3301], [3312, 3332],
+         [3386, 3388], [3390, 3423], [3426, 3429], [3446, 3449], [3456, 3460], [3479, 3481],
+         [3518, 3519], [3527, 3584], [3636, 3647], [3655, 3663], [3674, 3712], [3717, 3718],
+         [3723, 3724], [3726, 3731], [3752, 3753], [3764, 3772], [3774, 3775], [3783, 3791],
+         [3802, 3803], [3806, 3839], [3841, 3871], [3892, 3903], [3949, 3975], [3980, 4095],
+         [4139, 4158], [4170, 4175], [4182, 4185], [4190, 4192], [4194, 4196], [4199, 4205],
+         [4209, 4212], [4226, 4237], [4250, 4255], [4294, 4303], [4349, 4351], [4686, 4687],
+         [4702, 4703], [4750, 4751], [4790, 4791], [4806, 4807], [4886, 4887], [4955, 4968],
+         [4989, 4991], [5008, 5023], [5109, 5120], [5741, 5742], [5787, 5791], [5867, 5869],
+         [5873, 5887], [5906, 5919], [5938, 5951], [5970, 5983], [6001, 6015], [6068, 6102],
+         [6104, 6107], [6109, 6111], [6122, 6127], [6138, 6159], [6170, 6175], [6264, 6271],
+         [6315, 6319], [6390, 6399], [6429, 6469], [6510, 6511], [6517, 6527], [6572, 6592],
+         [6600, 6607], [6619, 6655], [6679, 6687], [6741, 6783], [6794, 6799], [6810, 6822],
+         [6824, 6916], [6964, 6980], [6988, 6991], [7002, 7042], [7073, 7085], [7098, 7167],
+         [7204, 7231], [7242, 7244], [7294, 7400], [7410, 7423], [7616, 7679], [7958, 7959],
+         [7966, 7967], [8006, 8007], [8014, 8015], [8062, 8063], [8127, 8129], [8141, 8143],
+         [8148, 8149], [8156, 8159], [8173, 8177], [8189, 8303], [8306, 8307], [8314, 8318],
+         [8330, 8335], [8341, 8449], [8451, 8454], [8456, 8457], [8470, 8472], [8478, 8483],
+         [8506, 8507], [8512, 8516], [8522, 8525], [8586, 9311], [9372, 9449], [9472, 10101],
+         [10132, 11263], [11493, 11498], [11503, 11516], [11518, 11519], [11558, 11567],
+         [11622, 11630], [11632, 11647], [11671, 11679], [11743, 11822], [11824, 12292],
+         [12296, 12320], [12330, 12336], [12342, 12343], [12349, 12352], [12439, 12444],
+         [12544, 12548], [12590, 12592], [12687, 12689], [12694, 12703], [12728, 12783],
+         [12800, 12831], [12842, 12880], [12896, 12927], [12938, 12976], [12992, 13311],
+         [19894, 19967], [40908, 40959], [42125, 42191], [42238, 42239], [42509, 42511],
+         [42540, 42559], [42592, 42593], [42607, 42622], [42648, 42655], [42736, 42774],
+         [42784, 42785], [42889, 42890], [42893, 43002], [43043, 43055], [43062, 43071],
+         [43124, 43137], [43188, 43215], [43226, 43249], [43256, 43258], [43260, 43263],
+         [43302, 43311], [43335, 43359], [43389, 43395], [43443, 43470], [43482, 43519],
+         [43561, 43583], [43596, 43599], [43610, 43615], [43639, 43641], [43643, 43647],
+         [43698, 43700], [43703, 43704], [43710, 43711], [43715, 43738], [43742, 43967],
+         [44003, 44015], [44026, 44031], [55204, 55215], [55239, 55242], [55292, 55295],
+         [57344, 63743], [64046, 64047], [64110, 64111], [64218, 64255], [64263, 64274],
+         [64280, 64284], [64434, 64466], [64830, 64847], [64912, 64913], [64968, 65007],
+         [65020, 65135], [65277, 65295], [65306, 65312], [65339, 65344], [65371, 65381],
+         [65471, 65473], [65480, 65481], [65488, 65489], [65496, 65497]];
+    for (i = 0; i < ranges.length; i++) {
+        start = ranges[i][0];
+        end = ranges[i][1];
+        for (j = start; j <= end; j++) {
+            result[j] = true;
+        }
+    }
+    return result;
+})();
+
+function splitQuery(query) {
+    var result = [];
+    var start = -1;
+    for (var i = 0; i < query.length; i++) {
+        if (splitChars[query.charCodeAt(i)]) {
+            if (start !== -1) {
+                result.push(query.slice(start, i));
+                start = -1;
+            }
+        } else if (start === -1) {
+            start = i;
+        }
+    }
+    if (start !== -1) {
+        result.push(query.slice(start));
+    }
+    return result;
+}
+
+
+
+
+/**
+ * Search Module
+ */
+var Search = {
+
+  _index : null,
+  _queued_query : null,
+  _pulse_status : -1,
+
+  init : function() {
+      var params = $.getQueryParameters();
+      if (params.q) {
+          var query = params.q[0];
+          $('input[name="q"]')[0].value = query;
+          this.performSearch(query);
+      }
+  },
+
+  loadIndex : function(url) {
+    $.ajax({type: "GET", url: url, data: null,
+            dataType: "script", cache: true,
+            complete: function(jqxhr, textstatus) {
+              if (textstatus != "success") {
+                document.getElementById("searchindexloader").src = url;
+              }
+            }});
+  },
+
+  setIndex : function(index) {
+    var q;
+    this._index = index;
+    if ((q = this._queued_query) !== null) {
+      this._queued_query = null;
+      Search.query(q);
+    }
+  },
+
+  hasIndex : function() {
+      return this._index !== null;
+  },
+
+  deferQuery : function(query) {
+      this._queued_query = query;
+  },
+
+  stopPulse : function() {
+      this._pulse_status = 0;
+  },
+
+  startPulse : function() {
+    if (this._pulse_status >= 0)
+        return;
+    function pulse() {
+      var i;
+      Search._pulse_status = (Search._pulse_status + 1) % 4;
+      var dotString = '';
+      for (i = 0; i < Search._pulse_status; i++)
+        dotString += '.';
+      Search.dots.text(dotString);
+      if (Search._pulse_status > -1)
+        window.setTimeout(pulse, 500);
+    }
+    pulse();
+  },
+
+  /**
+   * perform a search for something (or wait until index is loaded)
+   */
+  performSearch : function(query) {
+    // create the required interface elements
+    this.out = $('#search-results');
+    this.title = $('<h2>' + _('Searching') + '</h2>').appendTo(this.out);
+    this.dots = $('<span></span>').appendTo(this.title);
+    this.status = $('<p style="display: none"></p>').appendTo(this.out);
+    this.output = $('<ul class="search"/>').appendTo(this.out);
+
+    $('#search-progress').text(_('Preparing search...'));
+    this.startPulse();
+
+    // index already loaded, the browser was quick!
+    if (this.hasIndex())
+      this.query(query);
+    else
+      this.deferQuery(query);
+  },
+
+  /**
+   * execute search (requires search index to be loaded)
+   */
+  query : function(query) {
+    var i;
+    var stopwords = ["a","and","are","as","at","be","but","by","for","if","in","into","is","it","near","no","not","of","on","or","such","that","the","their","then","there","these","they","this","to","was","will","with"];
+
+    // stem the searchterms and add them to the correct list
+    var stemmer = new Stemmer();
+    var searchterms = [];
+    var excluded = [];
+    var hlterms = [];
+    var tmp = splitQuery(query);
+    var objectterms = [];
+    for (i = 0; i < tmp.length; i++) {
+      if (tmp[i] !== "") {
+          objectterms.push(tmp[i].toLowerCase());
+      }
+
+      if ($u.indexOf(stopwords, tmp[i].toLowerCase()) != -1 || tmp[i].match(/^\d+$/) ||
+          tmp[i] === "") {
+        // skip this "word"
+        continue;
+      }
+      // stem the word
+      var word = stemmer.stemWord(tmp[i].toLowerCase());
+      // prevent stemmer from cutting word smaller than two chars
+      if(word.length < 3 && tmp[i].length >= 3) {
+        word = tmp[i];
+      }
+      var toAppend;
+      // select the correct list
+      if (word[0] == '-') {
+        toAppend = excluded;
+        word = word.substr(1);
+      }
+      else {
+        toAppend = searchterms;
+        hlterms.push(tmp[i].toLowerCase());
+      }
+      // only add if not already in the list
+      if (!$u.contains(toAppend, word))
+        toAppend.push(word);
+    }
+    var highlightstring = '?highlight=' + $.urlencode(hlterms.join(" "));
+
+    // console.debug('SEARCH: searching for:');
+    // console.info('required: ', searchterms);
+    // console.info('excluded: ', excluded);
+
+    // prepare search
+    var terms = this._index.terms;
+    var titleterms = this._index.titleterms;
+
+    // array of [filename, title, anchor, descr, score]
+    var results = [];
+    $('#search-progress').empty();
+
+    // lookup as object
+    for (i = 0; i < objectterms.length; i++) {
+      var others = [].concat(objectterms.slice(0, i),
+                             objectterms.slice(i+1, objectterms.length));
+      results = results.concat(this.performObjectSearch(objectterms[i], others));
+    }
+
+    // lookup as search terms in fulltext
+    results = results.concat(this.performTermsSearch(searchterms, excluded, terms, titleterms));
+
+    // let the scorer override scores with a custom scoring function
+    if (Scorer.score) {
+      for (i = 0; i < results.length; i++)
+        results[i][4] = Scorer.score(results[i]);
+    }
+
+    // now sort the results by score (in opposite order of appearance, since the
+    // display function below uses pop() to retrieve items) and then
+    // alphabetically
+    results.sort(function(a, b) {
+      var left = a[4];
+      var right = b[4];
+      if (left > right) {
+        return 1;
+      } else if (left < right) {
+        return -1;
+      } else {
+        // same score: sort alphabetically
+        left = a[1].toLowerCase();
+        right = b[1].toLowerCase();
+        return (left > right) ? -1 : ((left < right) ? 1 : 0);
+      }
+    });
+
+    // for debugging
+    //Search.lastresults = results.slice();  // a copy
+    //console.info('search results:', Search.lastresults);
+
+    // print the results
+    var resultCount = results.length;
+    function displayNextItem() {
+      // results left, load the summary and display it
+      if (results.length) {
+        var item = results.pop();
+        var listItem = $('<li style="display:none"></li>');
+        if (DOCUMENTATION_OPTIONS.FILE_SUFFIX === '') {
+          // dirhtml builder
+          var dirname = item[0] + '/';
+          if (dirname.match(/\/index\/$/)) {
+            dirname = dirname.substring(0, dirname.length-6);
+          } else if (dirname == 'index/') {
+            dirname = '';
+          }
+          listItem.append($('<a/>').attr('href',
+            DOCUMENTATION_OPTIONS.URL_ROOT + dirname +
+            highlightstring + item[2]).html(item[1]));
+        } else {
+          // normal html builders
+          listItem.append($('<a/>').attr('href',
+            item[0] + DOCUMENTATION_OPTIONS.FILE_SUFFIX +
+            highlightstring + item[2]).html(item[1]));
+        }
+        if (item[3]) {
+          listItem.append($('<span> (' + item[3] + ')</span>'));
+          Search.output.append(listItem);
+          listItem.slideDown(5, function() {
+            displayNextItem();
+          });
+        } else if (DOCUMENTATION_OPTIONS.HAS_SOURCE) {
+          var suffix = DOCUMENTATION_OPTIONS.SOURCELINK_SUFFIX;
+          $.ajax({url: DOCUMENTATION_OPTIONS.URL_ROOT + '_sources/' + item[5] + (item[5].slice(-suffix.length) === suffix ? '' : suffix),
+                  dataType: "text",
+                  complete: function(jqxhr, textstatus) {
+                    var data = jqxhr.responseText;
+                    if (data !== '' && data !== undefined) {
+                      listItem.append(Search.makeSearchSummary(data, searchterms, hlterms));
+                    }
+                    Search.output.append(listItem);
+                    listItem.slideDown(5, function() {
+                      displayNextItem();
+                    });
+                  }});
+        } else {
+          // no source available, just display title
+          Search.output.append(listItem);
+          listItem.slideDown(5, function() {
+            displayNextItem();
+          });
+        }
+      }
+      // search finished, update title and status message
+      else {
+        Search.stopPulse();
+        Search.title.text(_('Search Results'));
+        if (!resultCount)
+          Search.status.text(_('Your search did not match any documents. Please make sure that all words are spelled correctly and that you\'ve selected enough categories.'));
+        else
+            Search.status.text(_('Search finished, found %s page(s) matching the search query.').replace('%s', resultCount));
+        Search.status.fadeIn(500);
+      }
+    }
+    displayNextItem();
+  },
+
+  /**
+   * search for object names
+   */
+  performObjectSearch : function(object, otherterms) {
+    var filenames = this._index.filenames;
+    var docnames = this._index.docnames;
+    var objects = this._index.objects;
+    var objnames = this._index.objnames;
+    var titles = this._index.titles;
+
+    var i;
+    var results = [];
+
+    for (var prefix in objects) {
+      for (var name in objects[prefix]) {
+        var fullname = (prefix ? prefix + '.' : '') + name;
+        if (fullname.toLowerCase().indexOf(object) > -1) {
+          var score = 0;
+          var parts = fullname.split('.');
+          // check for different match types: exact matches of full name or
+          // "last name" (i.e. last dotted part)
+          if (fullname == object || parts[parts.length - 1] == object) {
+            score += Scorer.objNameMatch;
+          // matches in last name
+          } else if (parts[parts.length - 1].indexOf(object) > -1) {
+            score += Scorer.objPartialMatch;
+          }
+          var match = objects[prefix][name];
+          var objname = objnames[match[1]][2];
+          var title = titles[match[0]];
+          // If more than one term searched for, we require other words to be
+          // found in the name/title/description
+          if (otherterms.length > 0) {
+            var haystack = (prefix + ' ' + name + ' ' +
+                            objname + ' ' + title).toLowerCase();
+            var allfound = true;
+            for (i = 0; i < otherterms.length; i++) {
+              if (haystack.indexOf(otherterms[i]) == -1) {
+                allfound = false;
+                break;
+              }
+            }
+            if (!allfound) {
+              continue;
+            }
+          }
+          var descr = objname + _(', in ') + title;
+
+          var anchor = match[3];
+          if (anchor === '')
+            anchor = fullname;
+          else if (anchor == '-')
+            anchor = objnames[match[1]][1] + '-' + fullname;
+          // add custom score for some objects according to scorer
+          if (Scorer.objPrio.hasOwnProperty(match[2])) {
+            score += Scorer.objPrio[match[2]];
+          } else {
+            score += Scorer.objPrioDefault;
+          }
+          results.push([docnames[match[0]], fullname, '#'+anchor, descr, score, filenames[match[0]]]);
+        }
+      }
+    }
+
+    return results;
+  },
+
+  /**
+   * search for full-text terms in the index
+   */
+  performTermsSearch : function(searchterms, excluded, terms, titleterms) {
+    var docnames = this._index.docnames;
+    var filenames = this._index.filenames;
+    var titles = this._index.titles;
+
+    var i, j, file;
+    var fileMap = {};
+    var scoreMap = {};
+    var results = [];
+
+    // perform the search on the required terms
+    for (i = 0; i < searchterms.length; i++) {
+      var word = searchterms[i];
+      var files = [];
+      var _o = [
+        {files: terms[word], score: Scorer.term},
+        {files: titleterms[word], score: Scorer.title}
+      ];
+
+      // no match but word was a required one
+      if ($u.every(_o, function(o){return o.files === undefined;})) {
+        break;
+      }
+      // found search word in contents
+      $u.each(_o, function(o) {
+        var _files = o.files;
+        if (_files === undefined)
+          return
+
+        if (_files.length === undefined)
+          _files = [_files];
+        files = files.concat(_files);
+
+        // set score for the word in each file to Scorer.term
+        for (j = 0; j < _files.length; j++) {
+          file = _files[j];
+          if (!(file in scoreMap))
+            scoreMap[file] = {}
+          scoreMap[file][word] = o.score;
+        }
+      });
+
+      // create the mapping
+      for (j = 0; j < files.length; j++) {
+        file = files[j];
+        if (file in fileMap)
+          fileMap[file].push(word);
+        else
+          fileMap[file] = [word];
+      }
+    }
+
+    // now check if the files don't contain excluded terms
+    for (file in fileMap) {
+      var valid = true;
+
+      // check if all requirements are matched
+      if (fileMap[file].length != searchterms.length)
+          continue;
+
+      // ensure that none of the excluded terms is in the search result
+      for (i = 0; i < excluded.length; i++) {
+        if (terms[excluded[i]] == file ||
+            titleterms[excluded[i]] == file ||
+            $u.contains(terms[excluded[i]] || [], file) ||
+            $u.contains(titleterms[excluded[i]] || [], file)) {
+          valid = false;
+          break;
+        }
+      }
+
+      // if we have still a valid result we can add it to the result list
+      if (valid) {
+        // select one (max) score for the file.
+        // for better ranking, we should calculate ranking by using words statistics like basic tf-idf...
+        var score = $u.max($u.map(fileMap[file], function(w){return scoreMap[file][w]}));
+        results.push([docnames[file], titles[file], '', null, score, filenames[file]]);
+      }
+    }
+    return results;
+  },
+
+  /**
+   * helper function to return a node containing the
+   * search summary for a given text. keywords is a list
+   * of stemmed words, hlwords is the list of normal, unstemmed
+   * words. the first one is used to find the occurrence, the
+   * latter for highlighting it.
+   */
+  makeSearchSummary : function(text, keywords, hlwords) {
+    var textLower = text.toLowerCase();
+    var start = 0;
+    $.each(keywords, function() {
+      var i = textLower.indexOf(this.toLowerCase());
+      if (i > -1)
+        start = i;
+    });
+    start = Math.max(start - 120, 0);
+    var excerpt = ((start > 0) ? '...' : '') +
+      $.trim(text.substr(start, 240)) +
+      ((start + 240 - text.length) ? '...' : '');
+    var rv = $('<div class="context"></div>').text(excerpt);
+    $.each(hlwords, function() {
+      rv = rv.highlightText(this, 'highlighted');
+    });
+    return rv;
+  }
+};
+
+$(document).ready(function() {
+  Search.init();
+});
\ No newline at end of file

develop/api_doc/_static/underscore-1.3.1.js

+//     Underscore.js 1.3.1
+//     (c) 2009-2012 Jeremy Ashkenas, DocumentCloud Inc.
+//     Underscore is freely distributable under the MIT license.
+//     Portions of Underscore are inspired or borrowed from Prototype,
+//     Oliver Steele's Functional, and John Resig's Micro-Templating.
+//     For all details and documentation:
+//     http://documentcloud.github.com/underscore
+
+(function() {
+
+  // Baseline setup
+  // --------------
+
+  // Establish the root object, `window` in the browser, or `global` on the server.
+  var root = this;
+
+  // Save the previous value of the `_` variable.
+  var previousUnderscore = root._;
+
+  // Establish the object that gets returned to break out of a loop iteration.
+  var breaker = {};
+
+  // Save bytes in the minified (but not gzipped) version:
+  var ArrayProto = Array.prototype, ObjProto = Object.prototype, FuncProto = Function.prototype;
+
+  // Create quick reference variables for speed access to core prototypes.
+  var slice            = ArrayProto.slice,
+      unshift          = ArrayProto.unshift,
+      toString         = ObjProto.toString,
+      hasOwnProperty   = ObjProto.hasOwnProperty;
+
+  // All **ECMAScript 5** native function implementations that we hope to use
+  // are declared here.
+  var
+    nativeForEach      = ArrayProto.forEach,
+    nativeMap          = ArrayProto.map,
+    nativeReduce       = ArrayProto.reduce,
+    nativeReduceRight  = ArrayProto.reduceRight,
+    nativeFilter       = ArrayProto.filter,
+    nativeEvery        = ArrayProto.every,
+    nativeSome         = ArrayProto.some,
+    nativeIndexOf      = ArrayProto.indexOf,
+    nativeLastIndexOf  = ArrayProto.lastIndexOf,
+    nativeIsArray      = Array.isArray,
+    nativeKeys         = Object.keys,
+    nativeBind         = FuncProto.bind;
+
+  // Create a safe reference to the Underscore object for use below.
+  var _ = function(obj) { return new wrapper(obj); };
+
+  // Export the Underscore object for **Node.js**, with
+  // backwards-compatibility for the old `require()` API. If we're in
+  // the browser, add `_` as a global object via a string identifier,
+  // for Closure Compiler "advanced" mode.
+  if (typeof exports !== 'undefined') {
+    if (typeof module !== 'undefined' && module.exports) {
+      exports = module.exports = _;
+    }
+    exports._ = _;
+  } else {
+    root['_'] = _;
+  }
+
+  // Current version.
+  _.VERSION = '1.3.1';
+
+  // Collection Functions
+  // --------------------
+
+  // The cornerstone, an `each` implementation, aka `forEach`.
+  // Handles objects with the built-in `forEach`, arrays, and raw objects.
+  // Delegates to **ECMAScript 5**'s native `forEach` if available.
+  var each = _.each = _.forEach = function(obj, iterator, context) {
+    if (obj == null) return;
+    if (nativeForEach && obj.forEach === nativeForEach) {
+      obj.forEach(iterator, context);
+    } else if (obj.length === +obj.length) {
+      for (var i = 0, l = obj.length; i < l; i++) {
+        if (i in obj && iterator.call(context, obj[i], i, obj) === breaker) return;
+      }
+    } else {
+      for (var key in obj) {
+        if (_.has(obj, key)) {
+          if (iterator.call(context, obj[key], key, obj) === breaker) return;
+        }
+      }
+    }
+  };
+
+  // Return the results of applying the iterator to each element.
+  // Delegates to **ECMAScript 5**'s native `map` if available.
+  _.map = _.collect = function(obj, iterator, context) {
+    var results = [];
+    if (obj == null) return results;
+    if (nativeMap && obj.map === nativeMap) return obj.map(iterator, context);
+    each(obj, function(value, index, list) {
+      results[results.length] = iterator.call(context, value, index, list);
+    });
+    if (obj.length === +obj.length) results.length = obj.length;
+    return results;
+  };
+
+  // **Reduce** builds up a single result from a list of values, aka `inject`,
+  // or `foldl`. Delegates to **ECMAScript 5**'s native `reduce` if available.
+  _.reduce = _.foldl = _.inject = function(obj, iterator, memo, context) {
+    var initial = arguments.length > 2;
+    if (obj == null) obj = [];
+    if (nativeReduce && obj.reduce === nativeReduce) {
+      if (context) iterator = _.bind(iterator, context);
+      return initial ? obj.reduce(iterator, memo) : obj.reduce(iterator);
+    }
+    each(obj, function(value, index, list) {
+      if (!initial) {
+        memo = value;
+        initial = true;
+      } else {
+        memo = iterator.call(context, memo, value, index, list);
+      }
+    });
+    if (!initial) throw new TypeError('Reduce of empty array with no initial value');
+    return memo;
+  };
+
+  // The right-associative version of reduce, also known as `foldr`.
+  // Delegates to **ECMAScript 5**'s native `reduceRight` if available.
+  _.reduceRight = _.foldr = function(obj, iterator, memo, context) {
+    var initial = arguments.length > 2;
+    if (obj == null) obj = [];
+    if (nativeReduceRight && obj.reduceRight === nativeReduceRight) {
+      if (context) iterator = _.bind(iterator, context);
+      return initial ? obj.reduceRight(iterator, memo) : obj.reduceRight(iterator);
+    }
+    var reversed = _.toArray(obj).reverse();
+    if (context && !initial) iterator = _.bind(iterator, context);
+    return initial ? _.reduce(reversed, iterator, memo, context) : _.reduce(reversed, iterator);
+  };
+
+  // Return the first value which passes a truth test. Aliased as `detect`.
+  _.find = _.detect = function(obj, iterator, context) {
+    var result;
+    any(obj, function(value, index, list) {
+      if (iterator.call(context, value, index, list)) {
+        result = value;
+        return true;
+      }
+    });
+    return result;
+  };
+
+  // Return all the elements that pass a truth test.
+  // Delegates to **ECMAScript 5**'s native `filter` if available.
+  // Aliased as `select`.
+  _.filter = _.select = function(obj, iterator, context) {
+    var results = [];
+    if (obj == null) return results;
+    if (nativeFilter && obj.filter === nativeFilter) return obj.filter(iterator, context);
+    each(obj, function(value, index, list) {
+      if (iterator.call(context, value, index, list)) results[results.length] = value;
+    });
+    return results;
+  };
+
+  // Return all the elements for which a truth test fails.
+  _.reject = function(obj, iterator, context) {
+    var results = [];
+    if (obj == null) return results;
+    each(obj, function(value, index, list) {
+      if (!iterator.call(context, value, index, list)) results[results.length] = value;
+    });
+    return results;
+  };
+
+  // Determine whether all of the elements match a truth test.
+  // Delegates to **ECMAScript 5**'s native `every` if available.
+  // Aliased as `all`.
+  _.every = _.all = function(obj, iterator, context) {
+    var result = true;
+    if (obj == null) return result;
+    if (nativeEvery && obj.every === nativeEvery) return obj.every(iterator, context);
+    each(obj, function(value, index, list) {
+      if (!(result = result && iterator.call(context, value, index, list))) return breaker;
+    });
+    return result;
+  };
+
+  // Determine if at least one element in the object matches a truth test.
+  // Delegates to **ECMAScript 5**'s native `some` if available.
+  // Aliased as `any`.
+  var any = _.some = _.any = function(obj, iterator, context) {
+    iterator || (iterator = _.identity);
+    var result = false;
+    if (obj == null) return result;
+    if (nativeSome && obj.some === nativeSome) return obj.some(iterator, context);
+    each(obj, function(value, index, list) {
+      if (result || (result = iterator.call(context, value, index, list))) return breaker;
+    });
+    return !!result;
+  };
+
+  // Determine if a given value is included in the array or object using `===`.
+  // Aliased as `contains`.
+  _.include = _.contains = function(obj, target) {
+    var found = false;
+    if (obj == null) return found;
+    if (nativeIndexOf && obj.indexOf === nativeIndexOf) return obj.indexOf(target) != -1;
+    found = any(obj, function(value) {
+      return value === target;
+    });
+    return found;
+  };
+
+  // Invoke a method (with arguments) on every item in a collection.
+  _.invoke = function(obj, method) {
+    var args = slice.call(arguments, 2);
+    return _.map(obj, function(value) {
+      return (_.isFunction(method) ? method || value : value[method]).apply(value, args);
+    });
+  };
+
+  // Convenience version of a common use case of `map`: fetching a property.
+  _.pluck = function(obj, key) {
+    return _.map(obj, function(value){ return value[key]; });
+  };
+
+  // Return the maximum element or (element-based computation).
+  _.max = function(obj, iterator, context) {
+    if (!iterator && _.isArray(obj)) return Math.max.apply(Math, obj);
+    if (!iterator && _.isEmpty(obj)) return -Infinity;
+    var result = {computed : -Infinity};
+    each(obj, function(value, index, list) {
+      var computed = iterator ? iterator.call(context, value, index, list) : value;
+      computed >= result.computed && (result = {value : value, computed : computed});
+    });
+    return result.value;
+  };
+
+  // Return the minimum element (or element-based computation).
+  _.min = function(obj, iterator, context) {
+    if (!iterator && _.isArray(obj)) return Math.min.apply(Math, obj);
+    if (!iterator && _.isEmpty(obj)) return Infinity;
+    var result = {computed : Infinity};
+    each(obj, function(value, index, list) {
+      var computed = iterator ? iterator.call(context, value, index, list) : value;
+      computed < result.computed && (result = {value : value, computed : computed});
+    });
+    return result.value;
+  };
+
+  // Shuffle an array.
+  _.shuffle = function(obj) {
+    var shuffled = [], rand;
+    each(obj, function(value, index, list) {
+      if (index == 0) {
+        shuffled[0] = value;
+      } else {
+        rand = Math.floor(Math.random() * (index + 1));
+        shuffled[index] = shuffled[rand];
+        shuffled[rand] = value;
+      }
+    });
+    return shuffled;
+  };
+
+  // Sort the object's values by a criterion produced by an iterator.
+  _.sortBy = function(obj, iterator, context) {
+    return _.pluck(_.map(obj, function(value, index, list) {
+      return {
+        value : value,
+        criteria : iterator.call(context, value, index, list)
+      };
+    }).sort(function(left, right) {
+      var a = left.criteria, b = right.criteria;
+      return a < b ? -1 : a > b ? 1 : 0;
+    }), 'value');
+  };
+
+  // Groups the object's values by a criterion. Pass either a string attribute
+  // to group by, or a function that returns the criterion.
+  _.groupBy = function(obj, val) {
+    var result = {};
+    var iterator = _.isFunction(val) ? val : function(obj) { return obj[val]; };
+    each(obj, function(value, index) {
+      var key = iterator(value, index);
+      (result[key] || (result[key] = [])).push(value);
+    });
+    return result;
+  };
+
+  // Use a comparator function to figure out at what index an object should
+  // be inserted so as to maintain order. Uses binary search.
+  _.sortedIndex = function(array, obj, iterator) {
+    iterator || (iterator = _.identity);
+    var low = 0, high = array.length;
+    while (low < high) {
+      var mid = (low + high) >> 1;
+      iterator(array[mid]) < iterator(obj) ? low = mid + 1 : high = mid;
+    }
+    return low;
+  };
+
+  // Safely convert anything iterable into a real, live array.
+  _.toArray = function(iterable) {
+    if (!iterable)                return [];
+    if (iterable.toArray)         return iterable.toArray();
+    if (_.isArray(iterable))      return slice.call(iterable);
+    if (_.isArguments(iterable))  return slice.call(iterable);
+    return _.values(iterable);
+  };
+
+  // Return the number of elements in an object.
+  _.size = function(obj) {
+    return _.toArray(obj).length;
+  };
+
+  // Array Functions
+  // ---------------
+
+  // Get the first element of an array. Passing **n** will return the first N
+  // values in the array. Aliased as `head`. The **guard** check allows it to work
+  // with `_.map`.
+  _.first = _.head = function(array, n, guard) {
+    return (n != null) && !guard ? slice.call(array, 0, n) : array[0];
+  };
+
+  // Returns everything but the last entry of the array. Especcialy useful on
+  // the arguments object. Passing **n** will return all the values in
+  // the array, excluding the last N. The **guard** check allows it to work with
+  // `_.map`.
+  _.initial = function(array, n, guard) {
+    return slice.call(array, 0, array.length - ((n == null) || guard ? 1 : n));
+  };
+
+  // Get the last element of an array. Passing **n** will return the last N
+  // values in the array. The **guard** check allows it to work with `_.map`.
+  _.last = function(array, n, guard) {
+    if ((n != null) && !guard) {
+      return slice.call(array, Math.max(array.length - n, 0));
+    } else {
+      return array[array.length - 1];
+    }
+  };
+
+  // Returns everything but the first entry of the array. Aliased as `tail`.
+  // Especially useful on the arguments object. Passing an **index** will return
+  // the rest of the values in the array from that index onward. The **guard**
+  // check allows it to work with `_.map`.
+  _.rest = _.tail = function(array, index, guard) {
+    return slice.call(array, (index == null) || guard ? 1 : index);
+  };
+
+  // Trim out all falsy values from an array.
+  _.compact = function(array) {
+    return _.filter(array, function(value){ return !!value; });
+  };
+
+  // Return a completely flattened version of an array.
+  _.flatten = function(array, shallow) {
+    return _.reduce(array, function(memo, value) {
+      if (_.isArray(value)) return memo.concat(shallow ? value : _.flatten(value));
+      memo[memo.length] = value;
+      return memo;
+    }, []);
+  };
+
+  // Return a version of the array that does not contain the specified value(s).
+  _.without = function(array) {
+    return _.difference(array, slice.call(arguments, 1));
+  };
+
+  // Produce a duplicate-free version of the array. If the array has already
+  // been sorted, you have the option of using a faster algorithm.
+  // Aliased as `unique`.
+  _.uniq = _.unique = function(array, isSorted, iterator) {
+    var initial = iterator ? _.map(array, iterator) : array;
+    var result = [];
+    _.reduce(initial, function(memo, el, i) {
+      if (0 == i || (isSorted === true ? _.last(memo) != el : !_.include(memo, el))) {
+        memo[memo.length] = el;
+        result[result.length] = array[i];
+      }
+      return memo;
+    }, []);
+    return result;
+  };
+
+  // Produce an array that contains the union: each distinct element from all of
+  // the passed-in arrays.
+  _.union = function() {
+    return _.uniq(_.flatten(arguments, true));
+  };
+
+  // Produce an array that contains every item shared between all the
+  // passed-in arrays. (Aliased as "intersect" for back-compat.)
+  _.intersection = _.intersect = function(array) {
+    var rest = slice.call(arguments, 1);
+    return _.filter(_.uniq(array), function(item) {
+      return _.every(rest, function(other) {
+        return _.indexOf(other, item) >= 0;
+      });
+    });
+  };
+
+  // Take the difference between one array and a number of other arrays.
+  // Only the elements present in just the first array will remain.
+  _.difference = function(array) {
+    var rest = _.flatten(slice.call(arguments, 1));
+    return _.filter(array, function(value){ return !_.include(rest, value); });
+  };
+
+  // Zip together multiple lists into a single array -- elements that share
+  // an index go together.
+  _.zip = function() {
+    var args = slice.call(arguments);
+    var length = _.max(_.pluck(args, 'length'));
+    var results = new Array(length);
+    for (var i = 0; i < length; i++) results[i] = _.pluck(args, "" + i);
+    return results;
+  };
+
+  // If the browser doesn't supply us with indexOf (I'm looking at you, **MSIE**),
+  // we need this function. Return the position of the first occurrence of an
+  // item in an array, or -1 if the item is not included in the array.
+  // Delegates to **ECMAScript 5**'s native `indexOf` if available.
+  // If the array is large and already in sort order, pass `true`
+  // for **isSorted** to use binary search.
+  _.indexOf = function(array, item, isSorted) {
+    if (array == null) return -1;
+    var i, l;
+    if (isSorted) {
+      i = _.sortedIndex(array, item);
+      return array[i] === item ? i : -1;
+    }
+    if (nativeIndexOf && array.indexOf === nativeIndexOf) return array.indexOf(item);
+    for (i = 0, l = array.length; i < l; i++) if (i in array && array[i] === item) return i;
+    return -1;
+  };
+
+  // Delegates to **ECMAScript 5**'s native `lastIndexOf` if available.
+  _.lastIndexOf = function(array, item) {
+    if (array == null) return -1;
+    if (nativeLastIndexOf && array.lastIndexOf === nativeLastIndexOf) return array.lastIndexOf(item);
+    var i = array.length;
+    while (i--) if (i in array && array[i] === item) return i;
+    return -1;
+  };
+
+  // Generate an integer Array containing an arithmetic progression. A port of
+  // the native Python `range()` function. See
+  // [the Python documentation](http://docs.python.org/library/functions.html#range).
+  _.range = function(start, stop, step) {
+    if (arguments.length <= 1) {
+      stop = start || 0;
+      start = 0;
+    }
+    step = arguments[2] || 1;
+
+    var len = Math.max(Math.ceil((stop - start) / step), 0);
+    var idx = 0;
+    var range = new Array(len);
+
+    while(idx < len) {
+      range[idx++] = start;
+      start += step;
+    }
+
+    return range;
+  };
+
+  // Function (ahem) Functions
+  // ------------------
+
+  // Reusable constructor function for prototype setting.
+  var ctor = function(){};
+
+  // Create a function bound to a given object (assigning `this`, and arguments,
+  // optionally). Binding with arguments is also known as `curry`.
+  // Delegates to **ECMAScript 5**'s native `Function.bind` if available.
+  // We check for `func.bind` first, to fail fast when `func` is undefined.
+  _.bind = function bind(func, context) {
+    var bound, args;
+    if (func.bind === nativeBind && nativeBind) return nativeBind.apply(func, slice.call(arguments, 1));
+    if (!_.isFunction(func)) throw new TypeError;
+    args = slice.call(arguments, 2);
+    return bound = function() {
+      if (!(this instanceof bound)) return func.apply(context, args.concat(slice.call(arguments)));
+      ctor.prototype = func.prototype;
+      var self = new ctor;
+      var result = func.apply(self, args.concat(slice.call(arguments)));
+      if (Object(result) === result) return result;
+      return self;
+    };
+  };
+
+  // Bind all of an object's methods to that object. Useful for ensuring that
+  // all callbacks defined on an object belong to it.
+  _.bindAll = function(obj) {
+    var funcs = slice.call(arguments, 1);
+    if (funcs.length == 0) funcs = _.functions(obj);
+    each(funcs, function(f) { obj[f] = _.bind(obj[f], obj); });
+    return obj;
+  };
+
+  // Memoize an expensive function by storing its results.
+  _.memoize = function(func, hasher) {
+    var memo = {};
+    hasher || (hasher = _.identity);
+    return function() {
+      var key = hasher.apply(this, arguments);
+      return _.has(memo, key) ? memo[key] : (memo[key] = func.apply(this, arguments));
+    };
+  };
+
+  // Delays a function for the given number of milliseconds, and then calls
+  // it with the arguments supplied.
+  _.delay = function(func, wait) {
+    var args = slice.call(arguments, 2);
+    return setTimeout(function(){ return func.apply(func, args); }, wait);
+  };
+
+  // Defers a function, scheduling it to run after the current call stack has
+  // cleared.
+  _.defer = function(func) {
+    return _.delay.apply(_, [func, 1].concat(slice.call(arguments, 1)));
+  };
+
+  // Returns a function, that, when invoked, will only be triggered at most once
+  // during a given window of time.
+  _.throttle = function(func, wait) {
+    var context, args, timeout, throttling, more;
+    var whenDone = _.debounce(function(){ more = throttling = false; }, wait);
+    return function() {
+      context = this; args = arguments;
+      var later = function() {
+        timeout = null;
+        if (more) func.apply(context, args);
+        whenDone();
+      };
+      if (!timeout) timeout = setTimeout(later, wait);
+      if (throttling) {
+        more = true;
+      } else {
+        func.apply(context, args);
+      }
+      whenDone();
+      throttling = true;
+    };
+  };
+
+  // Returns a function, that, as long as it continues to be invoked, will not
+  // be triggered. The function will be called after it stops being called for
+  // N milliseconds.
+  _.debounce = function(func, wait) {
+    var timeout;
+    return function() {
+      var context = this, args = arguments;
+      var later = function() {
+        timeout = null;
+        func.apply(context, args);
+      };
+      clearTimeout(timeout);
+      timeout = setTimeout(later, wait);
+    };
+  };
+
+  // Returns a function that will be executed at most one time, no matter how
+  // often you call it. Useful for lazy initialization.
+  _.once = function(func) {
+    var ran = false, memo;
+    return function() {
+      if (ran) return memo;
+      ran = true;
+      return memo = func.apply(this, arguments);
+    };
+  };
+
+  // Returns the first function passed as an argument to the second,
+  // allowing you to adjust arguments, run code before and after, and
+  // conditionally execute the original function.
+  _.wrap = function(func, wrapper) {
+    return function() {
+      var args = [func].concat(slice.call(arguments, 0));
+      return wrapper.apply(this, args);
+    };
+  };
+
+  // Returns a function that is the composition of a list of functions, each
+  // consuming the return value of the function that follows.
+  _.compose = function() {
+    var funcs = arguments;
+    return function() {
+      var args = arguments;
+      for (var i = funcs.length - 1; i >= 0; i--) {
+        args = [funcs[i].apply(this, args)];
+      }
+      return args[0];
+    };
+  };
+
+  // Returns a function that will only be executed after being called N times.
+  _.after = function(times, func) {
+    if (times <= 0) return func();
+    return function() {
+      if (--times < 1) { return func.apply(this, arguments); }
+    };
+  };
+
+  // Object Functions
+  // ----------------
+
+  // Retrieve the names of an object's properties.
+  // Delegates to **ECMAScript 5**'s native `Object.keys`
+  _.keys = nativeKeys || function(obj) {
+    if (obj !== Object(obj)) throw new TypeError('Invalid object');
+    var keys = [];
+    for (var key in obj) if (_.has(obj, key)) keys[keys.length] = key;
+    return keys;
+  };
+
+  // Retrieve the values of an object's properties.
+  _.values = function(obj) {
+    return _.map(obj, _.identity);
+  };
+
+  // Return a sorted list of the function names available on the object.
+  // Aliased as `methods`
+  _.functions = _.methods = function(obj) {
+    var names = [];
+    for (var key in obj) {
+      if (_.isFunction(obj[key])) names.push(key);
+    }
+    return names.sort();
+  };
+
+  // Extend a given object with all the properties in passed-in object(s).
+  _.extend = function(obj) {
+    each(slice.call(arguments, 1), function(source) {
+      for (var prop in source) {
+        obj[prop] = source[prop];
+      }
+    });
+    return obj;
+  };
+
+  // Fill in a given object with default properties.
+  _.defaults = function(obj) {
+    each(slice.call(arguments, 1), function(source) {
+      for (var prop in source) {
+        if (obj[prop] == null) obj[prop] = source[prop];
+      }
+    });
+    return obj;
+  };
+
+  // Create a (shallow-cloned) duplicate of an object.
+  _.clone = function(obj) {
+    if (!_.isObject(obj)) return obj;
+    return _.isArray(obj) ? obj.slice() : _.extend({}, obj);
+  };
+
+  // Invokes interceptor with the obj, and then returns obj.
+  // The primary purpose of this method is to "tap into" a method chain, in
+  // order to perform operations on intermediate results within the chain.
+  _.tap = function(obj, interceptor) {
+    interceptor(obj);
+    return obj;
+  };
+
+  // Internal recursive comparison function.
+  function eq(a, b, stack) {
+    // Identical objects are equal. `0 === -0`, but they aren't identical.
+    // See the Harmony `egal` proposal: http://wiki.ecmascript.org/doku.php?id=harmony:egal.
+    if (a === b) return a !== 0 || 1 / a == 1 / b;
+    // A strict comparison is necessary because `null == undefined`.
+    if (a == null || b == null) return a === b;
+    // Unwrap any wrapped objects.
+    if (a._chain) a = a._wrapped;
+    if (b._chain) b = b._wrapped;
+    // Invoke a custom `isEqual` method if one is provided.
+    if (a.isEqual && _.isFunction(a.isEqual)) return a.isEqual(b);
+    if (b.isEqual && _.isFunction(b.isEqual)) return b.isEqual(a);
+    // Compare `[[Class]]` names.
+    var className = toString.call(a);
+    if (className != toString.call(b)) return false;
+    switch (className) {
+      // Strings, numbers, dates, and booleans are compared by value.
+      case '[object String]':
+        // Primitives and their corresponding object wrappers are equivalent; thus, `"5"` is
+        // equivalent to `new String("5")`.
+        return a == String(b);
+      case '[object Number]':
+        // `NaN`s are equivalent, but non-reflexive. An `egal` comparison is performed for
+        // other numeric values.
+        return a != +a ? b != +b : (a == 0 ? 1 / a == 1 / b : a == +b);
+      case '[object Date]':
+      case '[object Boolean]':
+        // Coerce dates and booleans to numeric primitive values. Dates are compared by their
+        // millisecond representations. Note that invalid dates with millisecond representations
+        // of `NaN` are not equivalent.
+        return +a == +b;
+      // RegExps are compared by their source patterns and flags.
+      case '[object RegExp]':
+        return a.source == b.source &&
+               a.global == b.global &&
+               a.multiline == b.multiline &&
+               a.ignoreCase == b.ignoreCase;
+    }
+    if (typeof a != 'object' || typeof b != 'object') return false;
+    // Assume equality for cyclic structures. The algorithm for detecting cyclic
+    // structures is adapted from ES 5.1 section 15.12.3, abstract operation `JO`.
+    var length = stack.length;
+    while (length--) {
+      // Linear search. Performance is inversely proportional to the number of
+      // unique nested structures.
+      if (stack[length] == a) return true;
+    }
+    // Add the first object to the stack of traversed objects.
+    stack.push(a);
+    var size = 0, result = true;
+    // Recursively compare objects and arrays.
+    if (className == '[object Array]') {
+      // Compare array lengths to determine if a deep comparison is necessary.
+      size = a.length;
+      result = size == b.length;
+      if (result) {
+        // Deep compare the contents, ignoring non-numeric properties.
+        while (size--) {
+          // Ensure commutative equality for sparse arrays.
+          if (!(result = size in a == size in b && eq(a[size], b[size], stack))) break;
+        }
+      }
+    } else {
+      // Objects with different constructors are not equivalent.
+      if ('constructor' in a != 'constructor' in b || a.constructor != b.constructor) return false;
+      // Deep compare objects.
+      for (var key in a) {
+        if (_.has(a, key)) {
+          // Count the expected number of properties.
+          size++;
+          // Deep compare each member.
+          if (!(result = _.has(b, key) && eq(a[key], b[key], stack))) break;
+        }
+      }
+      // Ensure that both objects contain the same number of properties.
+      if (result) {
+        for (key in b) {
+          if (_.has(b, key) && !(size--)) break;
+        }
+        result = !size;
+      }
+    }
+    // Remove the first object from the stack of traversed objects.
+    stack.pop();
+    return result;
+  }
+
+  // Perform a deep comparison to check if two objects are equal.
+  _.isEqual = function(a, b) {
+    return eq(a, b, []);
+  };
+
+  // Is a given array, string, or object empty?
+  // An "empty" object has no enumerable own-properties.
+  _.isEmpty = function(obj) {
+    if (_.isArray(obj) || _.isString(obj)) return obj.length === 0;
+    for (var key in obj) if (_.has(obj, key)) return false;
+    return true;
+  };
+
+  // Is a given value a DOM element?
+  _.isElement = function(obj) {
+    return !!(obj && obj.nodeType == 1);
+  };
+
+  // Is a given value an array?
+  // Delegates to ECMA5's native Array.isArray
+  _.isArray = nativeIsArray || function(obj) {
+    return toString.call(obj) == '[object Array]';
+  };
+
+  // Is a given variable an object?
+  _.isObject = function(obj) {
+    return obj === Object(obj);
+  };
+
+  // Is a given variable an arguments object?
+  _.isArguments = function(obj) {
+    return toString.call(obj) == '[object Arguments]';
+  };
+  if (!_.isArguments(arguments)) {
+    _.isArguments = function(obj) {
+      return !!(obj && _.has(obj, 'callee'));
+    };
+  }
+
+  // Is a given value a function?
+  _.isFunction = function(obj) {
+    return toString.call(obj) == '[object Function]';
+  };
+
+  // Is a given value a string?
+  _.isString = function(obj) {
+    return toString.call(obj) == '[object String]';
+  };
+
+  // Is a given value a number?
+  _.isNumber = function(obj) {
+    return toString.call(obj) == '[object Number]';
+  };
+
+  // Is the given value `NaN`?
+  _.isNaN = function(obj) {
+    // `NaN` is the only value for which `===` is not reflexive.
+    return obj !== obj;
+  };
+
+  // Is a given value a boolean?
+  _.isBoolean = function(obj) {
+    return obj === true || obj === false || toString.call(obj) == '[object Boolean]';
+  };
+
+  // Is a given value a date?
+  _.isDate = function(obj) {
+    return toString.call(obj) == '[object Date]';
+  };
+
+  // Is the given value a regular expression?
+  _.isRegExp = function(obj) {
+    return toString.call(obj) == '[object RegExp]';
+  };
+
+  // Is a given value equal to null?
+  _.isNull = function(obj) {
+    return obj === null;
+  };
+
+  // Is a given variable undefined?
+  _.isUndefined = function(obj) {
+    return obj === void 0;
+  };
+
+  // Has own property?
+  _.has = function(obj, key) {
+    return hasOwnProperty.call(obj, key);
+  };
+
+  // Utility Functions
+  // -----------------
+
+  // Run Underscore.js in *noConflict* mode, returning the `_` variable to its
+  // previous owner. Returns a reference to the Underscore object.
+  _.noConflict = function() {
+    root._ = previousUnderscore;
+    return this;
+  };
+
+  // Keep the identity function around for default iterators.
+  _.identity = function(value) {
+    return value;
+  };
+
+  // Run a function **n** times.
+  _.times = function (n, iterator, context) {
+    for (var i = 0; i < n; i++) iterator.call(context, i);
+  };
+
+  // Escape a string for HTML interpolation.
+  _.escape = function(string) {
+    return (''+string).replace(/&/g, '&amp;').replace(/</g, '&lt;').replace(/>/g, '&gt;').replace(/"/g, '&quot;').replace(/'/g, '&#x27;').replace(/\//g,'&#x2F;');
+  };
+
+  // Add your own custom functions to the Underscore object, ensuring that
+  // they're correctly added to the OOP wrapper as well.
+  _.mixin = function(obj) {
+    each(_.functions(obj), function(name){
+      addToWrapper(name, _[name] = obj[name]);
+    });
+  };
+
+  // Generate a unique integer id (unique within the entire client session).
+  // Useful for temporary DOM ids.
+  var idCounter = 0;
+  _.uniqueId = function(prefix) {
+    var id = idCounter++;
+    return prefix ? prefix + id : id;
+  };
+
+  // By default, Underscore uses ERB-style template delimiters, change the
+  // following template settings to use alternative delimiters.
+  _.templateSettings = {
+    evaluate    : /<%([\s\S]+?)%>/g,
+    interpolate : /<%=([\s\S]+?)%>/g,
+    escape      : /<%-([\s\S]+?)%>/g
+  };
+
+  // When customizing `templateSettings`, if you don't want to define an
+  // interpolation, evaluation or escaping regex, we need one that is
+  // guaranteed not to match.
+  var noMatch = /.^/;
+
+  // Within an interpolation, evaluation, or escaping, remove HTML escaping
+  // that had been previously added.
+  var unescape = function(code) {
+    return code.replace(/\\\\/g, '\\').replace(/\\'/g, "'");
+  };
+
+  // JavaScript micro-templating, similar to John Resig's implementation.
+  // Underscore templating handles arbitrary delimiters, preserves whitespace,
+  // and correctly escapes quotes within interpolated code.
+  _.template = function(str, data) {
+    var c  = _.templateSettings;
+    var tmpl = 'var __p=[],print=function(){__p.push.apply(__p,arguments);};' +
+      'with(obj||{}){__p.push(\'' +
+      str.replace(/\\/g, '\\\\')
+         .replace(/'/g, "\\'")
+         .replace(c.escape || noMatch, function(match, code) {
+           return "',_.escape(" + unescape(code) + "),'";
+         })
+         .replace(c.interpolate || noMatch, function(match, code) {
+           return "'," + unescape(code) + ",'";
+         })
+         .replace(c.evaluate || noMatch, function(match, code) {
+           return "');" + unescape(code).replace(/[\r\n\t]/g, ' ') + ";__p.push('";
+         })
+         .replace(/\r/g, '\\r')
+         .replace(/\n/g, '\\n')
+         .replace(/\t/g, '\\t')
+         + "');}return __p.join('');";
+    var func = new Function('obj', '_', tmpl);
+    if (data) return func(data, _);
+    return function(data) {
+      return func.call(this, data, _);
+    };
+  };
+
+  // Add a "chain" function, which will delegate to the wrapper.
+  _.chain = function(obj) {
+    return _(obj).chain();
+  };
+
+  // The OOP Wrapper
+  // ---------------
+
+  // If Underscore is called as a function, it returns a wrapped object that
+  // can be used OO-style. This wrapper holds altered versions of all the
+  // underscore functions. Wrapped objects may be chained.
+  var wrapper = function(obj) { this._wrapped = obj; };
+
+  // Expose `wrapper.prototype` as `_.prototype`
+  _.prototype = wrapper.prototype;
+
+  // Helper function to continue chaining intermediate results.
+  var result = function(obj, chain) {
+    return chain ? _(obj).chain() : obj;
+  };
+
+  // A method to easily add functions to the OOP wrapper.
+  var addToWrapper = function(name, func) {
+    wrapper.prototype[name] = function() {
+      var args = slice.call(arguments);
+      unshift.call(args, this._wrapped);
+      return result(func.apply(_, args), this._chain);
+    };
+  };
+
+  // Add all of the Underscore functions to the wrapper object.
+  _.mixin(_);
+
+  // Add all mutator Array functions to the wrapper.
+  each(['pop', 'push', 'reverse', 'shift', 'sort', 'splice', 'unshift'], function(name) {
+    var method = ArrayProto[name];
+    wrapper.prototype[name] = function() {
+      var wrapped = this._wrapped;
+      method.apply(wrapped, arguments);
+      var length = wrapped.length;
+      if ((name == 'shift' || name == 'splice') && length === 0) delete wrapped[0];
+      return result(wrapped, this._chain);
+    };
+  });
+
+  // Add all accessor Array functions to the wrapper.
+  each(['concat', 'join', 'slice'], function(name) {
+    var method = ArrayProto[name];
+    wrapper.prototype[name] = function() {
+      return result(method.apply(this._wrapped, arguments), this._chain);
+    };
+  });
+
+  // Start chaining a wrapped Underscore object.
+  wrapper.prototype.chain = function() {
+    this._chain = true;
+    return this;
+  };
+
+  // Extracts the result from a wrapped and chained object.
+  wrapper.prototype.value = function() {
+    return this._wrapped;
+  };
+
+}).call(this);

develop/api_doc/_static/underscore.js

+// Underscore.js 1.3.1
+// (c) 2009-2012 Jeremy Ashkenas, DocumentCloud Inc.
+// Underscore is freely distributable under the MIT license.
+// Portions of Underscore are inspired or borrowed from Prototype,
+// Oliver Steele's Functional, and John Resig's Micro-Templating.
+// For all details and documentation:
+// http://documentcloud.github.com/underscore
+(function(){function q(a,c,d){if(a===c)return a!==0||1/a==1/c;if(a==null||c==null)return a===c;if(a._chain)a=a._wrapped;if(c._chain)c=c._wrapped;if(a.isEqual&&b.isFunction(a.isEqual))return a.isEqual(c);if(c.isEqual&&b.isFunction(c.isEqual))return c.isEqual(a);var e=l.call(a);if(e!=l.call(c))return false;switch(e){case "[object String]":return a==String(c);case "[object Number]":return a!=+a?c!=+c:a==0?1/a==1/c:a==+c;case "[object Date]":case "[object Boolean]":return+a==+c;case "[object RegExp]":return a.source==
+c.source&&a.global==c.global&&a.multiline==c.multiline&&a.ignoreCase==c.ignoreCase}if(typeof a!="object"||typeof c!="object")return false;for(var f=d.length;f--;)if(d[f]==a)return true;d.push(a);var f=0,g=true;if(e=="[object Array]"){if(f=a.length,g=f==c.length)for(;f--;)if(!(g=f in a==f in c&&q(a[f],c[f],d)))break}else{if("constructor"in a!="constructor"in c||a.constructor!=c.constructor)return false;for(var h in a)if(b.has(a,h)&&(f++,!(g=b.has(c,h)&&q(a[h],c[h],d))))break;if(g){for(h in c)if(b.has(c,
+h)&&!f--)break;g=!f}}d.pop();return g}var r=this,G=r._,n={},k=Array.prototype,o=Object.prototype,i=k.slice,H=k.unshift,l=o.toString,I=o.hasOwnProperty,w=k.forEach,x=k.map,y=k.reduce,z=k.reduceRight,A=k.filter,B=k.every,C=k.some,p=k.indexOf,D=k.lastIndexOf,o=Array.isArray,J=Object.keys,s=Function.prototype.bind,b=function(a){return new m(a)};if(typeof exports!=="undefined"){if(typeof module!=="undefined"&&module.exports)exports=module.exports=b;exports._=b}else r._=b;b.VERSION="1.3.1";var j=b.each=
+b.forEach=function(a,c,d){if(a!=null)if(w&&a.forEach===w)a.forEach(c,d);else if(a.length===+a.length)for(var e=0,f=a.length;e<f;e++){if(e in a&&c.call(d,a[e],e,a)===n)break}else for(e in a)if(b.has(a,e)&&c.call(d,a[e],e,a)===n)break};b.map=b.collect=function(a,c,b){var e=[];if(a==null)return e;if(x&&a.map===x)return a.map(c,b);j(a,function(a,g,h){e[e.length]=c.call(b,a,g,h)});if(a.length===+a.length)e.length=a.length;return e};b.reduce=b.foldl=b.inject=function(a,c,d,e){var f=arguments.length>2;a==
+null&&(a=[]);if(y&&a.reduce===y)return e&&(c=b.bind(c,e)),f?a.reduce(c,d):a.reduce(c);j(a,function(a,b,i){f?d=c.call(e,d,a,b,i):(d=a,f=true)});if(!f)throw new TypeError("Reduce of empty array with no initial value");return d};b.reduceRight=b.foldr=function(a,c,d,e){var f=arguments.length>2;a==null&&(a=[]);if(z&&a.reduceRight===z)return e&&(c=b.bind(c,e)),f?a.reduceRight(c,d):a.reduceRight(c);var g=b.toArray(a).reverse();e&&!f&&(c=b.bind(c,e));return f?b.reduce(g,c,d,e):b.reduce(g,c)};b.find=b.detect=
+function(a,c,b){var e;E(a,function(a,g,h){if(c.call(b,a,g,h))return e=a,true});return e};b.filter=b.select=function(a,c,b){var e=[];if(a==null)return e;if(A&&a.filter===A)return a.filter(c,b);j(a,function(a,g,h){c.call(b,a,g,h)&&(e[e.length]=a)});return e};b.reject=function(a,c,b){var e=[];if(a==null)return e;j(a,function(a,g,h){c.call(b,a,g,h)||(e[e.length]=a)});return e};b.every=b.all=function(a,c,b){var e=true;if(a==null)return e;if(B&&a.every===B)return a.every(c,b);j(a,function(a,g,h){if(!(e=
+e&&c.call(b,a,g,h)))return n});return e};var E=b.some=b.any=function(a,c,d){c||(c=b.identity);var e=false;if(a==null)return e;if(C&&a.some===C)return a.some(c,d);j(a,function(a,b,h){if(e||(e=c.call(d,a,b,h)))return n});return!!e};b.include=b.contains=function(a,c){var b=false;if(a==null)return b;return p&&a.indexOf===p?a.indexOf(c)!=-1:b=E(a,function(a){return a===c})};b.invoke=function(a,c){var d=i.call(arguments,2);return b.map(a,function(a){return(b.isFunction(c)?c||a:a[c]).apply(a,d)})};b.pluck=
+function(a,c){return b.map(a,function(a){return a[c]})};b.max=function(a,c,d){if(!c&&b.isArray(a))return Math.max.apply(Math,a);if(!c&&b.isEmpty(a))return-Infinity;var e={computed:-Infinity};j(a,function(a,b,h){b=c?c.call(d,a,b,h):a;b>=e.computed&&(e={value:a,computed:b})});return e.value};b.min=function(a,c,d){if(!c&&b.isArray(a))return Math.min.apply(Math,a);if(!c&&b.isEmpty(a))return Infinity;var e={computed:Infinity};j(a,function(a,b,h){b=c?c.call(d,a,b,h):a;b<e.computed&&(e={value:a,computed:b})});
+return e.value};b.shuffle=function(a){var b=[],d;j(a,function(a,f){f==0?b[0]=a:(d=Math.floor(Math.random()*(f+1)),b[f]=b[d],b[d]=a)});return b};b.sortBy=function(a,c,d){return b.pluck(b.map(a,function(a,b,g){return{value:a,criteria:c.call(d,a,b,g)}}).sort(function(a,b){var c=a.criteria,d=b.criteria;return c<d?-1:c>d?1:0}),"value")};b.groupBy=function(a,c){var d={},e=b.isFunction(c)?c:function(a){return a[c]};j(a,function(a,b){var c=e(a,b);(d[c]||(d[c]=[])).push(a)});return d};b.sortedIndex=function(a,
+c,d){d||(d=b.identity);for(var e=0,f=a.length;e<f;){var g=e+f>>1;d(a[g])<d(c)?e=g+1:f=g}return e};b.toArray=function(a){return!a?[]:a.toArray?a.toArray():b.isArray(a)?i.call(a):b.isArguments(a)?i.call(a):b.values(a)};b.size=function(a){return b.toArray(a).length};b.first=b.head=function(a,b,d){return b!=null&&!d?i.call(a,0,b):a[0]};b.initial=function(a,b,d){return i.call(a,0,a.length-(b==null||d?1:b))};b.last=function(a,b,d){return b!=null&&!d?i.call(a,Math.max(a.length-b,0)):a[a.length-1]};b.rest=
+b.tail=function(a,b,d){return i.call(a,b==null||d?1:b)};b.compact=function(a){return b.filter(a,function(a){return!!a})};b.flatten=function(a,c){return b.reduce(a,function(a,e){if(b.isArray(e))return a.concat(c?e:b.flatten(e));a[a.length]=e;return a},[])};b.without=function(a){return b.difference(a,i.call(arguments,1))};b.uniq=b.unique=function(a,c,d){var d=d?b.map(a,d):a,e=[];b.reduce(d,function(d,g,h){if(0==h||(c===true?b.last(d)!=g:!b.include(d,g)))d[d.length]=g,e[e.length]=a[h];return d},[]);
+return e};b.union=function(){return b.uniq(b.flatten(arguments,true))};b.intersection=b.intersect=function(a){var c=i.call(arguments,1);return b.filter(b.uniq(a),function(a){return b.every(c,function(c){return b.indexOf(c,a)>=0})})};b.difference=function(a){var c=b.flatten(i.call(arguments,1));return b.filter(a,function(a){return!b.include(c,a)})};b.zip=function(){for(var a=i.call(arguments),c=b.max(b.pluck(a,"length")),d=Array(c),e=0;e<c;e++)d[e]=b.pluck(a,""+e);return d};b.indexOf=function(a,c,
+d){if(a==null)return-1;var e;if(d)return d=b.sortedIndex(a,c),a[d]===c?d:-1;if(p&&a.indexOf===p)return a.indexOf(c);for(d=0,e=a.length;d<e;d++)if(d in a&&a[d]===c)return d;return-1};b.lastIndexOf=function(a,b){if(a==null)return-1;if(D&&a.lastIndexOf===D)return a.lastIndexOf(b);for(var d=a.length;d--;)if(d in a&&a[d]===b)return d;return-1};b.range=function(a,b,d){arguments.length<=1&&(b=a||0,a=0);for(var d=arguments[2]||1,e=Math.max(Math.ceil((b-a)/d),0),f=0,g=Array(e);f<e;)g[f++]=a,a+=d;return g};
+var F=function(){};b.bind=function(a,c){var d,e;if(a.bind===s&&s)return s.apply(a,i.call(arguments,1));if(!b.isFunction(a))throw new TypeError;e=i.call(arguments,2);return d=function(){if(!(this instanceof d))return a.apply(c,e.concat(i.call(arguments)));F.prototype=a.prototype;var b=new F,g=a.apply(b,e.concat(i.call(arguments)));return Object(g)===g?g:b}};b.bindAll=function(a){var c=i.call(arguments,1);c.length==0&&(c=b.functions(a));j(c,function(c){a[c]=b.bind(a[c],a)});return a};b.memoize=function(a,
+c){var d={};c||(c=b.identity);return function(){var e=c.apply(this,arguments);return b.has(d,e)?d[e]:d[e]=a.apply(this,arguments)}};b.delay=function(a,b){var d=i.call(arguments,2);return setTimeout(function(){return a.apply(a,d)},b)};b.defer=function(a){return b.delay.apply(b,[a,1].concat(i.call(arguments,1)))};b.throttle=function(a,c){var d,e,f,g,h,i=b.debounce(function(){h=g=false},c);return function(){d=this;e=arguments;var b;f||(f=setTimeout(function(){f=null;h&&a.apply(d,e);i()},c));g?h=true:
+a.apply(d,e);i();g=true}};b.debounce=function(a,b){var d;return function(){var e=this,f=arguments;clearTimeout(d);d=setTimeout(function(){d=null;a.apply(e,f)},b)}};b.once=function(a){var b=false,d;return function(){if(b)return d;b=true;return d=a.apply(this,arguments)}};b.wrap=function(a,b){return function(){var d=[a].concat(i.call(arguments,0));return b.apply(this,d)}};b.compose=function(){var a=arguments;return function(){for(var b=arguments,d=a.length-1;d>=0;d--)b=[a[d].apply(this,b)];return b[0]}};
+b.after=function(a,b){return a<=0?b():function(){if(--a<1)return b.apply(this,arguments)}};b.keys=J||function(a){if(a!==Object(a))throw new TypeError("Invalid object");var c=[],d;for(d in a)b.has(a,d)&&(c[c.length]=d);return c};b.values=function(a){return b.map(a,b.identity)};b.functions=b.methods=function(a){var c=[],d;for(d in a)b.isFunction(a[d])&&c.push(d);return c.sort()};b.extend=function(a){j(i.call(arguments,1),function(b){for(var d in b)a[d]=b[d]});return a};b.defaults=function(a){j(i.call(arguments,
+1),function(b){for(var d in b)a[d]==null&&(a[d]=b[d])});return a};b.clone=function(a){return!b.isObject(a)?a:b.isArray(a)?a.slice():b.extend({},a)};b.tap=function(a,b){b(a);return a};b.isEqual=function(a,b){return q(a,b,[])};b.isEmpty=function(a){if(b.isArray(a)||b.isString(a))return a.length===0;for(var c in a)if(b.has(a,c))return false;return true};b.isElement=function(a){return!!(a&&a.nodeType==1)};b.isArray=o||function(a){return l.call(a)=="[object Array]"};b.isObject=function(a){return a===Object(a)};
+b.isArguments=function(a){return l.call(a)=="[object Arguments]"};if(!b.isArguments(arguments))b.isArguments=function(a){return!(!a||!b.has(a,"callee"))};b.isFunction=function(a){return l.call(a)=="[object Function]"};b.isString=function(a){return l.call(a)=="[object String]"};b.isNumber=function(a){return l.call(a)=="[object Number]"};b.isNaN=function(a){return a!==a};b.isBoolean=function(a){return a===true||a===false||l.call(a)=="[object Boolean]"};b.isDate=function(a){return l.call(a)=="[object Date]"};
+b.isRegExp=function(a){return l.call(a)=="[object RegExp]"};b.isNull=function(a){return a===null};b.isUndefined=function(a){return a===void 0};b.has=function(a,b){return I.call(a,b)};b.noConflict=function(){r._=G;return this};b.identity=function(a){return a};b.times=function(a,b,d){for(var e=0;e<a;e++)b.call(d,e)};b.escape=function(a){return(""+a).replace(/&/g,"&amp;").replace(/</g,"&lt;").replace(/>/g,"&gt;").replace(/"/g,"&quot;").replace(/'/g,"&#x27;").replace(/\//g,"&#x2F;")};b.mixin=function(a){j(b.functions(a),
+function(c){K(c,b[c]=a[c])})};var L=0;b.uniqueId=function(a){var b=L++;return a?a+b:b};b.templateSettings={evaluate:/<%([\s\S]+?)%>/g,interpolate:/<%=([\s\S]+?)%>/g,escape:/<%-([\s\S]+?)%>/g};var t=/.^/,u=function(a){return a.replace(/\\\\/g,"\\").replace(/\\'/g,"'")};b.template=function(a,c){var d=b.templateSettings,d="var __p=[],print=function(){__p.push.apply(__p,arguments);};with(obj||{}){__p.push('"+a.replace(/\\/g,"\\\\").replace(/'/g,"\\'").replace(d.escape||t,function(a,b){return"',_.escape("+
+u(b)+"),'"}).replace(d.interpolate||t,function(a,b){return"',"+u(b)+",'"}).replace(d.evaluate||t,function(a,b){return"');"+u(b).replace(/[\r\n\t]/g," ")+";__p.push('"}).replace(/\r/g,"\\r").replace(/\n/g,"\\n").replace(/\t/g,"\\t")+"');}return __p.join('');",e=new Function("obj","_",d);return c?e(c,b):function(a){return e.call(this,a,b)}};b.chain=function(a){return b(a).chain()};var m=function(a){this._wrapped=a};b.prototype=m.prototype;var v=function(a,c){return c?b(a).chain():a},K=function(a,c){m.prototype[a]=
+function(){var a=i.call(arguments);H.call(a,this._wrapped);return v(c.apply(b,a),this._chain)}};b.mixin(b);j("pop,push,reverse,shift,sort,splice,unshift".split(","),function(a){var b=k[a];m.prototype[a]=function(){var d=this._wrapped;b.apply(d,arguments);var e=d.length;(a=="shift"||a=="splice")&&e===0&&delete d[0];return v(d,this._chain)}});j(["concat","join","slice"],function(a){var b=k[a];m.prototype[a]=function(){return v(b.apply(this._wrapped,arguments),this._chain)}});m.prototype.chain=function(){this._chain=
+true;return this};m.prototype.value=function(){return this._wrapped}}).call(this);

develop/api_doc/_static/websupport.js

+/*
+ * websupport.js
+ * ~~~~~~~~~~~~~
+ *
+ * sphinx.websupport utilities for all documentation.
+ *
+ * :copyright: Copyright 2007-2017 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+(function($) {
+  $.fn.autogrow = function() {
+    return this.each(function() {
+    var textarea = this;
+
+    $.fn.autogrow.resize(textarea);
+
+    $(textarea)
+      .focus(function() {
+        textarea.interval = setInterval(function() {
+          $.fn.autogrow.resize(textarea);
+        }, 500);
+      })
+      .blur(function() {
+        clearInterval(textarea.interval);
+      });
+    });
+  };
+
+  $.fn.autogrow.resize = function(textarea) {
+    var lineHeight = parseInt($(textarea).css('line-height'), 10);
+    var lines = textarea.value.split('\n');
+    var columns = textarea.cols;
+    var lineCount = 0;
+    $.each(lines, function() {
+      lineCount += Math.ceil(this.length / columns) || 1;
+    });
+    var height = lineHeight * (lineCount + 1);
+    $(textarea).css('height', height);
+  };
+})(jQuery);
+
+(function($) {
+  var comp, by;
+
+  function init() {
+    initEvents();
+    initComparator();
+  }
+
+  function initEvents() {
+    $(document).on("click", 'a.comment-close', function(event) {
+      event.preventDefault();
+      hide($(this).attr('id').substring(2));
+    });
+    $(document).on("click", 'a.vote', function(event) {
+      event.preventDefault();
+      handleVote($(this));
+    });
+    $(document).on("click", 'a.reply', function(event) {
+      event.preventDefault();
+      openReply($(this).attr('id').substring(2));
+    });
+    $(document).on("click", 'a.close-reply', function(event) {
+      event.preventDefault();
+      closeReply($(this).attr('id').substring(2));
+    });
+    $(document).on("click", 'a.sort-option', function(event) {
+      event.preventDefault();
+      handleReSort($(this));
+    });
+    $(document).on("click", 'a.show-proposal', function(event) {
+      event.preventDefault();
+      showProposal($(this).attr('id').substring(2));
+    });
+    $(document).on("click", 'a.hide-proposal', function(event) {
+      event.preventDefault();
+      hideProposal($(this).attr('id').substring(2));
+    });
+    $(document).on("click", 'a.show-propose-change', function(event) {
+      event.preventDefault();
+      showProposeChange($(this).attr('id').substring(2));
+    });
+    $(document).on("click", 'a.hide-propose-change', function(event) {
+      event.preventDefault();
+      hideProposeChange($(this).attr('id').substring(2));
+    });
+    $(document).on("click", 'a.accept-comment', function(event) {
+      event.preventDefault();
+      acceptComment($(this).attr('id').substring(2));
+    });
+    $(document).on("click", 'a.delete-comment', function(event) {
+      event.preventDefault();
+      deleteComment($(this).attr('id').substring(2));
+    });
+    $(document).on("click", 'a.comment-markup', function(event) {
+      event.preventDefault();
+      toggleCommentMarkupBox($(this).attr('id').substring(2));
+    });
+  }
+
+  /**
+   * Set comp, which is a comparator function used for sorting and
+   * inserting comments into the list.
+   */
+  function setComparator() {
+    // If the first three letters are "asc", sort in ascending order
+    // and remove the prefix.
+    if (by.substring(0,3) == 'asc') {
+      var i = by.substring(3);
+      comp = function(a, b) { return a[i] - b[i]; };
+    } else {
+      // Otherwise sort in descending order.
+      comp = function(a, b) { return b[by] - a[by]; };
+    }
+
+    // Reset link styles and format the selected sort option.
+    $('a.sel').attr('href', '#').removeClass('sel');
+    $('a.by' + by).removeAttr('href').addClass('sel');
+  }
+
+  /**
+   * Create a comp function. If the user has preferences stored in
+   * the sortBy cookie, use those, otherwise use the default.
+   */
+  function initComparator() {
+    by = 'rating'; // Default to sort by rating.
+    // If the sortBy cookie is set, use that instead.
+    if (document.cookie.length > 0) {
+      var start = document.cookie.indexOf('sortBy=');
+      if (start != -1) {
+        start = start + 7;
+        var end = document.cookie.indexOf(";", start);
+        if (end == -1) {
+          end = document.cookie.length;
+          by = unescape(document.cookie.substring(start, end));
+        }
+      }
+    }
+    setComparator();
+  }
+
+  /**
+   * Show a comment div.
+   */
+  function show(id) {
+    $('#ao' + id).hide();
+    $('#ah' + id).show();
+    var context = $.extend({id: id}, opts);
+    var popup = $(renderTemplate(popupTemplate, context)).hide();
+    popup.find('textarea[name="proposal"]').hide();
+    popup.find('a.by' + by).addClass('sel');
+    var form = popup.find('#cf' + id);
+    form.submit(function(event) {
+      event.preventDefault();
+      addComment(form);
+    });
+    $('#s' + id).after(popup);
+    popup.slideDown('fast', function() {
+      getComments(id);
+    });
+  }
+
+  /**
+   * Hide a comment div.
+   */
+  function hide(id) {
+    $('#ah' + id).hide();
+    $('#ao' + id).show();
+    var div = $('#sc' + id);
+    div.slideUp('fast', function() {
+      div.remove();
+    });
+  }
+
+  /**
+   * Perform an ajax request to get comments for a node
+   * and insert the comments into the comments tree.
+   */
+  function getComments(id) {
+    $.ajax({
+     type: 'GET',
+     url: opts.getCommentsURL,
+     data: {node: id},
+     success: function(data, textStatus, request) {
+       var ul = $('#cl' + id);
+       var speed = 100;
+       $('#cf' + id)
+         .find('textarea[name="proposal"]')
+         .data('source', data.source);
+
+       if (data.comments.length === 0) {
+         ul.html('<li>No comments yet.</li>');
+         ul.data('empty', true);
+       } else {
+         // If there are comments, sort them and put them in the list.
+         var comments = sortComments(data.comments);
+         speed = data.comments.length * 100;
+         appendComments(comments, ul);
+         ul.data('empty', false);
+       }
+       $('#cn' + id).slideUp(speed + 200);
+       ul.slideDown(speed);
+     },
+     error: function(request, textStatus, error) {
+       showError('Oops, there was a problem retrieving the comments.');
+     },
+     dataType: 'json'
+    });
+  }
+
+  /**
+   * Add a comment via ajax and insert the comment into the comment tree.
+   */
+  function addComment(form) {
+    var node_id = form.find('input[name="node"]').val();
+    var parent_id = form.find('input[name="parent"]').val();
+    var text = form.find('textarea[name="comment"]').val();
+    var proposal = form.find('textarea[name="proposal"]').val();
+
+    if (text == '') {
+      showError('Please enter a comment.');
+      return;
+    }
+
+    // Disable the form that is being submitted.
+    form.find('textarea,input').attr('disabled', 'disabled');
+
+    // Send the comment to the server.
+    $.ajax({
+      type: "POST",
+      url: opts.addCommentURL,
+      dataType: 'json',
+      data: {
+        node: node_id,
+        parent: parent_id,
+        text: text,
+        proposal: proposal
+      },
+      success: function(data, textStatus, error) {
+        // Reset the form.
+        if (node_id) {
+          hideProposeChange(node_id);
+        }
+        form.find('textarea')
+          .val('')
+          .add(form.find('input'))
+          .removeAttr('disabled');
+	var ul = $('#cl' + (node_id || parent_id));
+        if (ul.data('empty')) {
+          $(ul).empty();
+          ul.data('empty', false);
+        }
+        insertComment(data.comment);
+        var ao = $('#ao' + node_id);
+        ao.find('img').attr({'src': opts.commentBrightImage});
+        if (node_id) {
+          // if this was a "root" comment, remove the commenting box
+          // (the user can get it back by reopening the comment popup)
+          $('#ca' + node_id).slideUp();
+        }
+      },
+      error: function(request, textStatus, error) {
+        form.find('textarea,input').removeAttr('disabled');
+        showError('Oops, there was a problem adding the comment.');
+      }
+    });
+  }
+
+  /**
+   * Recursively append comments to the main comment list and children
+   * lists, creating the comment tree.
+   */
+  function appendComments(comments, ul) {
+    $.each(comments, function() {
+      var div = createCommentDiv(this);
+      ul.append($(document.createElement('li')).html(div));
+      appendComments(this.children, div.find('ul.comment-children'));
+      // To avoid stagnating data, don't store the comments children in data.
+      this.children = null;
+      div.data('comment', this);
+    });
+  }
+
+  /**
+   * After adding a new comment, it must be inserted in the correct
+   * location in the comment tree.
+   */
+  function insertComment(comment) {
+    var div = createCommentDiv(comment);
+
+    // To avoid stagnating data, don't store the comments children in data.
+    comment.children = null;
+    div.data('comment', comment);
+
+    var ul = $('#cl' + (comment.node || comment.parent));
+    var siblings = getChildren(ul);
+
+    var li = $(document.createElement('li'));
+    li.hide();
+
+    // Determine where in the parents children list to insert this comment.
+    for(i=0; i < siblings.length; i++) {
+      if (comp(comment, siblings[i]) <= 0) {
+        $('#cd' + siblings[i].id)
+          .parent()
+          .before(li.html(div));
+        li.slideDown('fast');
+        return;
+      }
+    }
+
+    // If we get here, this comment rates lower than all the others,
+    // or it is the only comment in the list.
+    ul.append(li.html(div));
+    li.slideDown('fast');
+  }
+
+  function acceptComment(id) {
+    $.ajax({
+      type: 'POST',
+      url: opts.acceptCommentURL,
+      data: {id: id},
+      success: function(data, textStatus, request) {
+        $('#cm' + id).fadeOut('fast');
+        $('#cd' + id).removeClass('moderate');
+      },
+      error: function(request, textStatus, error) {
+        showError('Oops, there was a problem accepting the comment.');
+      }
+    });
+  }
+
+  function deleteComment(id) {
+    $.ajax({
+      type: 'POST',
+      url: opts.deleteCommentURL,
+      data: {id: id},
+      success: function(data, textStatus, request) {
+        var div = $('#cd' + id);
+        if (data == 'delete') {
+          // Moderator mode: remove the comment and all children immediately
+          div.slideUp('fast', function() {
+            div.remove();
+          });
+          return;
+        }
+        // User mode: only mark the comment as deleted
+        div
+          .find('span.user-id:first')
+          .text('[deleted]').end()
+          .find('div.comment-text:first')
+          .text('[deleted]').end()
+          .find('#cm' + id + ', #dc' + id + ', #ac' + id + ', #rc' + id +
+                ', #sp' + id + ', #hp' + id + ', #cr' + id + ', #rl' + id)
+          .remove();
+        var comment = div.data('comment');
+        comment.username = '[deleted]';
+        comment.text = '[deleted]';
+        div.data('comment', comment);
+      },
+      error: function(request, textStatus, error) {
+        showError('Oops, there was a problem deleting the comment.');
+      }
+    });
+  }
+
+  function showProposal(id) {
+    $('#sp' + id).hide();
+    $('#hp' + id).show();
+    $('#pr' + id).slideDown('fast');
+  }
+
+  function hideProposal(id) {
+    $('#hp' + id).hide();
+    $('#sp' + id).show();
+    $('#pr' + id).slideUp('fast');
+  }
+
+  function showProposeChange(id) {
+    $('#pc' + id).hide();
+    $('#hc' + id).show();
+    var textarea = $('#pt' + id);
+    textarea.val(textarea.data('source'));
+    $.fn.autogrow.resize(textarea[0]);
+    textarea.slideDown('fast');
+  }
+
+  function hideProposeChange(id) {
+    $('#hc' + id).hide();
+    $('#pc' + id).show();
+    var textarea = $('#pt' + id);
+    textarea.val('').removeAttr('disabled');
+    textarea.slideUp('fast');
+  }
+
+  function toggleCommentMarkupBox(id) {
+    $('#mb' + id).toggle();
+  }
+
+  /** Handle when the user clicks on a sort by link. */
+  function handleReSort(link) {
+    var classes = link.attr('class').split(/\s+/);
+    for (var i=0; i<classes.length; i++) {
+      if (classes[i] != 'sort-option') {
+	by = classes[i].substring(2);
+      }
+    }
+    setComparator();
+    // Save/update the sortBy cookie.
+    var expiration = new Date();
+    expiration.setDate(expiration.getDate() + 365);
+    document.cookie= 'sortBy=' + escape(by) +
+                     ';expires=' + expiration.toUTCString();
+    $('ul.comment-ul').each(function(index, ul) {
+      var comments = getChildren($(ul), true);
+      comments = sortComments(comments);
+      appendComments(comments, $(ul).empty());
+    });
+  }
+
+  /**
+   * Function to process a vote when a user clicks an arrow.
+   */
+  function handleVote(link) {
+    if (!opts.voting) {
+      showError("You'll need to login to vote.");
+      return;
+    }
+
+    var id = link.attr('id');
+    if (!id) {
+      // Didn't click on one of the voting arrows.
+      return;
+    }
+    // If it is an unvote, the new vote value is 0,
+    // Otherwise it's 1 for an upvote, or -1 for a downvote.
+    var value = 0;
+    if (id.charAt(1) != 'u') {
+      value = id.charAt(0) == 'u' ? 1 : -1;
+    }
+    // The data to be sent to the server.
+    var d = {
+      comment_id: id.substring(2),
+      value: value
+    };
+
+    // Swap the vote and unvote links.
+    link.hide();
+    $('#' + id.charAt(0) + (id.charAt(1) == 'u' ? 'v' : 'u') + d.comment_id)
+      .show();
+
+    // The div the comment is displayed in.
+    var div = $('div#cd' + d.comment_id);
+    var data = div.data('comment');
+
+    // If this is not an unvote, and the other vote arrow has
+    // already been pressed, unpress it.
+    if ((d.value !== 0) && (data.vote === d.value * -1)) {
+      $('#' + (d.value == 1 ? 'd' : 'u') + 'u' + d.comment_id).hide();
+      $('#' + (d.value == 1 ? 'd' : 'u') + 'v' + d.comment_id).show();
+    }
+
+    // Update the comments rating in the local data.
+    data.rating += (data.vote === 0) ? d.value : (d.value - data.vote);
+    data.vote = d.value;
+    div.data('comment', data);
+
+    // Change the rating text.
+    div.find('.rating:first')
+      .text(data.rating + ' point' + (data.rating == 1 ? '' : 's'));
+
+    // Send the vote information to the server.
+    $.ajax({
+      type: "POST",
+      url: opts.processVoteURL,
+      data: d,
+      error: function(request, textStatus, error) {
+        showError('Oops, there was a problem casting that vote.');
+      }
+    });
+  }
+
+  /**
+   * Open a reply form used to reply to an existing comment.
+   */
+  function openReply(id) {
+    // Swap out the reply link for the hide link
+    $('#rl' + id).hide();
+    $('#cr' + id).show();
+
+    // Add the reply li to the children ul.
+    var div = $(renderTemplate(replyTemplate, {id: id})).hide();
+    $('#cl' + id)
+      .prepend(div)
+      // Setup the submit handler for the reply form.
+      .find('#rf' + id)
+      .submit(function(event) {
+        event.preventDefault();
+        addComment($('#rf' + id));
+        closeReply(id);
+      })
+      .find('input[type=button]')
+      .click(function() {
+        closeReply(id);
+      });
+    div.slideDown('fast', function() {
+      $('#rf' + id).find('textarea').focus();
+    });
+  }
+
+  /**
+   * Close the reply form opened with openReply.
+   */
+  function closeReply(id) {
+    // Remove the reply div from the DOM.
+    $('#rd' + id).slideUp('fast', function() {
+      $(this).remove();
+    });
+
+    // Swap out the hide link for the reply link
+    $('#cr' + id).hide();
+    $('#rl' + id).show();
+  }
+
+  /**
+   * Recursively sort a tree of comments using the comp comparator.
+   */
+  function sortComments(comments) {
+    comments.sort(comp);
+    $.each(comments, function() {
+      this.children = sortComments(this.children);
+    });
+    return comments;
+  }
+
+  /**
+   * Get the children comments from a ul. If recursive is true,
+   * recursively include childrens' children.
+   */
+  function getChildren(ul, recursive) {
+    var children = [];
+    ul.children().children("[id^='cd']")
+      .each(function() {
+        var comment = $(this).data('comment');
+        if (recursive)
+          comment.children = getChildren($(this).find('#cl' + comment.id), true);
+        children.push(comment);
+      });
+    return children;
+  }
+
+  /** Create a div to display a comment in. */
+  function createCommentDiv(comment) {
+    if (!comment.displayed && !opts.moderator) {
+      return $('<div class="moderate">Thank you!  Your comment will show up '
+               + 'once it is has been approved by a moderator.</div>');
+    }
+    // Prettify the comment rating.
+    comment.pretty_rating = comment.rating + ' point' +
+      (comment.rating == 1 ? '' : 's');
+    // Make a class (for displaying not yet moderated comments differently)
+    comment.css_class = comment.displayed ? '' : ' moderate';
+    // Create a div for this comment.
+    var context = $.extend({}, opts, comment);
+    var div = $(renderTemplate(commentTemplate, context));
+
+    // If the user has voted on this comment, highlight the correct arrow.
+    if (comment.vote) {
+      var direction = (comment.vote == 1) ? 'u' : 'd';
+      div.find('#' + direction + 'v' + comment.id).hide();
+      div.find('#' + direction + 'u' + comment.id).show();
+    }
+
+    if (opts.moderator || comment.text != '[deleted]') {
+      div.find('a.reply').show();
+      if (comment.proposal_diff)
+        div.find('#sp' + comment.id).show();
+      if (opts.moderator && !comment.displayed)
+        div.find('#cm' + comment.id).show();
+      if (opts.moderator || (opts.username == comment.username))
+        div.find('#dc' + comment.id).show();
+    }
+    return div;
+  }
+
+  /**
+   * A simple template renderer. Placeholders such as <%id%> are replaced
+   * by context['id'] with items being escaped. Placeholders such as <#id#>
+   * are not escaped.
+   */
+  function renderTemplate(template, context) {
+    var esc = $(document.createElement('div'));
+
+    function handle(ph, escape) {
+      var cur = context;
+      $.each(ph.split('.'), function() {
+        cur = cur[this];
+      });
+      return escape ? esc.text(cur || "").html() : cur;
+    }
+
+    return template.replace(/<([%#])([\w\.]*)\1>/g, function() {
+      return handle(arguments[2], arguments[1] == '%' ? true : false);
+    });
+  }
+
+  /** Flash an error message briefly. */
+  function showError(message) {
+    $(document.createElement('div')).attr({'class': 'popup-error'})
+      .append($(document.createElement('div'))
+               .attr({'class': 'error-message'}).text(message))
+      .appendTo('body')
+      .fadeIn("slow")
+      .delay(2000)
+      .fadeOut("slow");
+  }
+
+  /** Add a link the user uses to open the comments popup. */
+  $.fn.comment = function() {
+    return this.each(function() {
+      var id = $(this).attr('id').substring(1);
+      var count = COMMENT_METADATA[id];
+      var title = count + ' comment' + (count == 1 ? '' : 's');
+      var image = count > 0 ? opts.commentBrightImage : opts.commentImage;
+      var addcls = count == 0 ? ' nocomment' : '';
+      $(this)
+        .append(
+          $(document.createElement('a')).attr({
+            href: '#',
+            'class': 'sphinx-comment-open' + addcls,
+            id: 'ao' + id
+          })
+            .append($(document.createElement('img')).attr({
+              src: image,
+              alt: 'comment',
+              title: title
+            }))
+            .click(function(event) {
+              event.preventDefault();
+              show($(this).attr('id').substring(2));
+            })
+        )
+        .append(
+          $(document.createElement('a')).attr({
+            href: '#',
+            'class': 'sphinx-comment-close hidden',
+            id: 'ah' + id
+          })
+            .append($(document.createElement('img')).attr({
+              src: opts.closeCommentImage,
+              alt: 'close',
+              title: 'close'
+            }))
+            .click(function(event) {
+              event.preventDefault();
+              hide($(this).attr('id').substring(2));
+            })
+        );
+    });
+  };
+
+  var opts = {
+    processVoteURL: '/_process_vote',
+    addCommentURL: '/_add_comment',
+    getCommentsURL: '/_get_comments',
+    acceptCommentURL: '/_accept_comment',
+    deleteCommentURL: '/_delete_comment',
+    commentImage: '/static/_static/comment.png',
+    closeCommentImage: '/static/_static/comment-close.png',
+    loadingImage: '/static/_static/ajax-loader.gif',
+    commentBrightImage: '/static/_static/comment-bright.png',
+    upArrow: '/static/_static/up.png',
+    downArrow: '/static/_static/down.png',
+    upArrowPressed: '/static/_static/up-pressed.png',
+    downArrowPressed: '/static/_static/down-pressed.png',
+    voting: false,
+    moderator: false
+  };
+
+  if (typeof COMMENT_OPTIONS != "undefined") {
+    opts = jQuery.extend(opts, COMMENT_OPTIONS);
+  }
+
+  var popupTemplate = '\
+    <div class="sphinx-comments" id="sc<%id%>">\
+      <p class="sort-options">\
+        Sort by:\
+        <a href="#" class="sort-option byrating">best rated</a>\
+        <a href="#" class="sort-option byascage">newest</a>\
+        <a href="#" class="sort-option byage">oldest</a>\
+      </p>\
+      <div class="comment-header">Comments</div>\
+      <div class="comment-loading" id="cn<%id%>">\
+        loading comments... <img src="<%loadingImage%>" alt="" /></div>\
+      <ul id="cl<%id%>" class="comment-ul"></ul>\
+      <div id="ca<%id%>">\
+      <p class="add-a-comment">Add a comment\
+        (<a href="#" class="comment-markup" id="ab<%id%>">markup</a>):</p>\
+      <div class="comment-markup-box" id="mb<%id%>">\
+        reStructured text markup: <i>*emph*</i>, <b>**strong**</b>, \
+        <code>``code``</code>, \
+        code blocks: <code>::</code> and an indented block after blank line</div>\
+      <form method="post" id="cf<%id%>" class="comment-form" action="">\
+        <textarea name="comment" cols="80"></textarea>\
+        <p class="propose-button">\
+          <a href="#" id="pc<%id%>" class="show-propose-change">\
+            Propose a change &#9657;\
+          </a>\
+          <a href="#" id="hc<%id%>" class="hide-propose-change">\
+            Propose a change &#9663;\
+          </a>\
+        </p>\
+        <textarea name="proposal" id="pt<%id%>" cols="80"\
+                  spellcheck="false"></textarea>\
+        <input type="submit" value="Add comment" />\
+        <input type="hidden" name="node" value="<%id%>" />\
+        <input type="hidden" name="parent" value="" />\
+      </form>\
+      </div>\
+    </div>';
+
+  var commentTemplate = '\
+    <div id="cd<%id%>" class="sphinx-comment<%css_class%>">\
+      <div class="vote">\
+        <div class="arrow">\
+          <a href="#" id="uv<%id%>" class="vote" title="vote up">\
+            <img src="<%upArrow%>" />\
+          </a>\
+          <a href="#" id="uu<%id%>" class="un vote" title="vote up">\
+            <img src="<%upArrowPressed%>" />\
+          </a>\
+        </div>\
+        <div class="arrow">\
+          <a href="#" id="dv<%id%>" class="vote" title="vote down">\
+            <img src="<%downArrow%>" id="da<%id%>" />\
+          </a>\
+          <a href="#" id="du<%id%>" class="un vote" title="vote down">\
+            <img src="<%downArrowPressed%>" />\
+          </a>\
+        </div>\
+      </div>\
+      <div class="comment-content">\
+        <p class="tagline comment">\
+          <span class="user-id"><%username%></span>\
+          <span class="rating"><%pretty_rating%></span>\
+          <span class="delta"><%time.delta%></span>\
+        </p>\
+        <div class="comment-text comment"><#text#></div>\
+        <p class="comment-opts comment">\
+          <a href="#" class="reply hidden" id="rl<%id%>">reply &#9657;</a>\
+          <a href="#" class="close-reply" id="cr<%id%>">reply &#9663;</a>\
+          <a href="#" id="sp<%id%>" class="show-proposal">proposal &#9657;</a>\
+          <a href="#" id="hp<%id%>" class="hide-proposal">proposal &#9663;</a>\
+          <a href="#" id="dc<%id%>" class="delete-comment hidden">delete</a>\
+          <span id="cm<%id%>" class="moderation hidden">\
+            <a href="#" id="ac<%id%>" class="accept-comment">accept</a>\
+          </span>\
+        </p>\
+        <pre class="proposal" id="pr<%id%>">\
+<#proposal_diff#>\
+        </pre>\
+          <ul class="comment-children" id="cl<%id%>"></ul>\
+        </div>\
+        <div class="clearleft"></div>\
+      </div>\
+    </div>';
+
+  var replyTemplate = '\
+    <li>\
+      <div class="reply-div" id="rd<%id%>">\
+        <form id="rf<%id%>">\
+          <textarea name="comment" cols="80"></textarea>\
+          <input type="submit" value="Add reply" />\
+          <input type="button" value="Cancel" />\
+          <input type="hidden" name="parent" value="<%id%>" />\
+          <input type="hidden" name="node" value="" />\
+        </form>\
+      </div>\
+    </li>';
+
+  $(document).ready(function() {
+    init();
+  });
+})(jQuery);
+
+$(document).ready(function() {
+  // add comment anchors for all paragraphs that are commentable
+  $('.sphinx-has-comment').comment();
+
+  // highlight search words in search results
+  $("div.context").each(function() {
+    var params = $.getQueryParameters();
+    var terms = (params.q) ? params.q[0].split(/\s+/) : [];
+    var result = $(this);
+    $.each(terms, function() {
+      result.highlightText(this.toLowerCase(), 'highlighted');
+    });
+  });
+
+  // directly open comment window if requested
+  var anchor = document.location.hash;
+  if (anchor.substring(0, 9) == '#comment-') {
+    $('#ao' + anchor.substring(9)).click();
+    document.location.hash = '#s' + anchor.substring(9);
+  }
+});

develop/api_doc/genindex.html

+
+
+
+<!DOCTYPE html>
+<!--[if IE 8]><html class="no-js lt-ie9" lang="en" > <![endif]-->
+<!--[if gt IE 8]><!--> <html class="no-js" lang="en" > <!--<![endif]-->
+<head>
+  <meta charset="utf-8">
+  
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  
+  <title>Index &mdash; PaddlePaddle  documentation</title>
+  
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+  
+  
+    
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+  
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+  
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+    <link rel="stylesheet" href="_static/css/theme.css" type="text/css" />
+  
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+        <link rel="index" title="Index"
+              href="#"/>
+        <link rel="search" title="Search" href="search.html"/>
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+
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+  var _hmt = _hmt || [];
+  (function() {
+    var hm = document.createElement("script");
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+
+</head>
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+<body class="wy-body-for-nav" role="document">
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+  
+  <header class="site-header">
+    <div class="site-logo">
+      <a href="/"><img src="_static/images/PP_w.png"></a>
+    </div>
+    <div class="site-nav-links">
+      <div class="site-menu">
+        <a class="fork-on-github" href="https://github.com/PaddlePaddle/Paddle" target="_blank"><i class="fa fa-github"></i>Fork me on Github</a>
+        <div class="language-switcher dropdown">
+          <a type="button" data-toggle="dropdown">
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+          <li><a href="/">Home</a></li>
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+      </div>
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+        
+        <ul>
+<li class="toctree-l1"><a class="reference internal" href="v2/model_configs.html">Model Configuration</a></li>
+<li class="toctree-l1"><a class="reference internal" href="v2/data.html">Data Reader Interface and DataSets</a></li>
+<li class="toctree-l1"><a class="reference internal" href="v2/run_logic.html">Training and Inference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="v2/fluid.html">Fluid</a></li>
+</ul>
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+  
+  <div class="main-content-wrap">
+
+    
+    <nav class="doc-menu-vertical" role="navigation">
+        
+          
+          <ul>
+<li class="toctree-l1"><a class="reference internal" href="v2/model_configs.html">Model Configuration</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="v2/config/activation.html">Activation</a></li>
+<li class="toctree-l2"><a class="reference internal" href="v2/config/layer.html">Layers</a></li>
+<li class="toctree-l2"><a class="reference internal" href="v2/config/evaluators.html">Evaluators</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="v2/config/attr.html">Parameter Attribute</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="v2/data.html">Data Reader Interface and DataSets</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="v2/data/data_reader.html">Data Reader Interface</a></li>
+<li class="toctree-l2"><a class="reference internal" href="v2/data/image.html">Image Interface</a></li>
+<li class="toctree-l2"><a class="reference internal" href="v2/data/dataset.html">Dataset</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="v2/run_logic.html">Training and Inference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="v2/fluid.html">Fluid</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="v2/fluid/layers.html">layers</a></li>
+<li class="toctree-l2"><a class="reference internal" href="v2/fluid/data_feeder.html">data_feeder</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="v2/fluid/initializer.html">initializer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="v2/fluid/evaluator.html">evaluator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="v2/fluid/nets.html">nets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="v2/fluid/optimizer.html">optimizer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="v2/fluid/param_attr.html">param_attr</a></li>
+<li class="toctree-l2"><a class="reference internal" href="v2/fluid/profiler.html">profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="v2/fluid/regularizer.html">regularizer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="v2/fluid/io.html">io</a></li>
+</ul>
+</li>
+</ul>
+
+        
+    </nav>
+    
+    <section class="doc-content-wrap">
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+      
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+<div role="navigation" aria-label="breadcrumbs navigation">
+  <ul class="wy-breadcrumbs">
+      
+    <li>Index</li>
+  </ul>
+</div>
+      
+      <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">
+            
+
+<h1 id="index">Index</h1>
+
+<div class="genindex-jumpbox">
+ <a href="#B"><strong>B</strong></a>
+ | <a href="#C"><strong>C</strong></a>
+ | <a href="#L"><strong>L</strong></a>
+ | <a href="#P"><strong>P</strong></a>
+ | <a href="#R"><strong>R</strong></a>
+ | <a href="#S"><strong>S</strong></a>
+ | <a href="#T"><strong>T</strong></a>
+ 
+</div>
+<h2 id="B">B</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="v2/data/image.html#paddle.v2.image.batch_images_from_tar">batch_images_from_tar() (in module paddle.v2.image)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="C">C</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="v2/data/image.html#paddle.v2.image.center_crop">center_crop() (in module paddle.v2.image)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="L">L</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="v2/data/image.html#paddle.v2.image.left_right_flip">left_right_flip() (in module paddle.v2.image)</a>
+</li>
+      <li><a href="v2/data/image.html#paddle.v2.image.load_and_transform">load_and_transform() (in module paddle.v2.image)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="v2/data/image.html#paddle.v2.image.load_image">load_image() (in module paddle.v2.image)</a>
+</li>
+      <li><a href="v2/data/image.html#paddle.v2.image.load_image_bytes">load_image_bytes() (in module paddle.v2.image)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="P">P</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="v2/data/image.html#module-paddle.v2.image">paddle.v2.image (module)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="R">R</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="v2/data/image.html#paddle.v2.image.random_crop">random_crop() (in module paddle.v2.image)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="v2/data/image.html#paddle.v2.image.resize_short">resize_short() (in module paddle.v2.image)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="S">S</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="v2/data/image.html#paddle.v2.image.simple_transform">simple_transform() (in module paddle.v2.image)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="T">T</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="v2/data/image.html#paddle.v2.image.to_chw">to_chw() (in module paddle.v2.image)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+
+
+           </div>
+          </div>
+          <footer>
+  
+
+  <hr/>
+
+  <div role="contentinfo">
+    <p>
+        &copy; Copyright 2016, PaddlePaddle developers.
+
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\ No newline at end of file

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+        <li><a href="../model_configs.html">Model Configuration</a> > </li>
+      
+    <li>Activation</li>
+  </ul>
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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="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" />
+<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>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>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+
+
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+            
+  <div class="section" id="evaluators">
+<span id="api-v2"></span><h1>Evaluators<a class="headerlink" href="#evaluators" title="Permalink to this headline">¶</a></h1>
+<div class="section" id="classification">
+<h2>Classification<a class="headerlink" href="#classification" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="classification-error">
+<h3>classification_error<a class="headerlink" href="#classification-error" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.evaluator.</code><code class="descname">classification_error</code><span class="sig-paren">(</span><em>*args</em>, <em>**xargs</em><span class="sig-paren">)</span></dt>
+<dd><p>Classification Error Evaluator. It will print error rate for classification.</p>
+<p>The classification error is:</p>
+<div class="math">
+\[classification\_error = \frac{NumOfWrongPredicts}{NumOfAllSamples}\]</div>
+<p>The simple usage is:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="nb">eval</span> <span class="o">=</span>  <span class="n">classification_evaluator</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="nb">input</span><span class="o">=</span><span class="n">prob</span><span class="p">,</span><span class="n">label</span><span class="o">=</span><span class="n">lbl</span><span class="p">)</span>
+</pre></div>
+</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 simple">
+<li><strong>name</strong> (<em>basestring</em>) &#8211; Evaluator name.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input Layer name. The output prediction of network.</li>
+<li><strong>label</strong> (<em>basestring</em>) &#8211; Label layer name.</li>
+<li><strong>weight</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Weight Layer name. It should be a matrix with size
+[sample_num, 1]. And will just multiply to NumOfWrongPredicts
+and NumOfAllSamples. So, the elements of weight are all one,
+then means not set weight. The larger weight it is, the more
+important this sample is.</li>
+<li><strong>top_k</strong> (<em>int</em>) &#8211; number k in top-k error rate</li>
+<li><strong>threshold</strong> (<em>float</em>) &#8211; The classification threshold.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">None.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="auc">
+<h3>auc<a class="headerlink" href="#auc" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.evaluator.</code><code class="descname">auc</code><span class="sig-paren">(</span><em>*args</em>, <em>**xargs</em><span class="sig-paren">)</span></dt>
+<dd><p>Auc Evaluator which adapts to binary classification.</p>
+<p>The simple usage:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="nb">eval</span> <span class="o">=</span> <span class="n">evaluator</span><span class="o">.</span><span class="n">auc</span><span class="p">(</span><span class="nb">input</span><span class="p">,</span> <span class="n">label</span><span class="p">)</span>
+</pre></div>
+</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>name</strong> (<em>None|basestring</em>) &#8211; Evaluator name.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input Layer name. The output prediction of network.</li>
+<li><strong>label</strong> (<em>None|basestring</em>) &#8211; Label layer name.</li>
+<li><strong>weight</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Weight Layer name. It should be a matrix with size
+[sample_num, 1].</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="ctc-error">
+<h3>ctc_error<a class="headerlink" href="#ctc-error" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.evaluator.</code><code class="descname">ctc_error</code><span class="sig-paren">(</span><em>*args</em>, <em>**xargs</em><span class="sig-paren">)</span></dt>
+<dd><p>This evaluator is to calculate sequence-to-sequence edit distance.</p>
+<p>The simple usage is :</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="nb">eval</span> <span class="o">=</span> <span class="n">ctc_evaluator</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="nb">input</span><span class="o">=</span><span class="nb">input</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="n">lbl</span><span class="p">)</span>
+</pre></div>
+</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>name</strong> (<em>None|basestring</em>) &#8211; Evaluator name.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input Layer. Should be the same as the input for ctc.</li>
+<li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input label, which is a data. Should be the same as the
+label for ctc</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="chunk">
+<h3>chunk<a class="headerlink" href="#chunk" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.evaluator.</code><code class="descname">chunk</code><span class="sig-paren">(</span><em>*args</em>, <em>**xargs</em><span class="sig-paren">)</span></dt>
+<dd><p>Chunk evaluator is used to evaluate segment labelling accuracy for a
+sequence. It calculates precision, recall and F1 scores for the chunk detection.</p>
+<p>To use chunk evaluator, several concepts need to be clarified firstly.</p>
+<ul class="simple">
+<li><strong>Chunk type</strong> is the type of the whole chunk and a chunk consists of one or several words.  (For example in NER, ORG for organization name, PER for person name etc.)</li>
+<li><strong>Tag type</strong> indicates the position of a word in a chunk. (B for begin, I for inside, E for end, S for single)</li>
+</ul>
+<p>We can name a label by combining tag type and chunk type. (ie. B-ORG for begining of an organization name)</p>
+<p>The construction of label dictionary should obey the following rules:</p>
+<ul class="simple">
+<li>Use one of the listed labelling schemes. These schemes differ in ways indicating chunk boundry.</li>
+</ul>
+<div class="highlight-text"><div class="highlight"><pre><span></span>Scheme    Description
+plain    Use the same label for the whole chunk.
+IOB      Two labels for chunk type X, B-X for chunk begining and I-X for chunk inside.
+IOE      Two labels for chunk type X, E-X for chunk ending and I-X for chunk inside.
+IOBES    Four labels for chunk type X, B-X for chunk begining, I-X for chunk inside, E-X for chunk end and S-X for single word chunk.
+</pre></div>
+</div>
+<p>To make it clear, let&#8217;s illustrate by an NER example.
+Assuming that there are three named entity types including ORG, PER and LOC which are called &#8216;chunk type&#8217; here,
+if &#8216;IOB&#8217; scheme were used, the label set will be extended to a set including B-ORG, I-ORG, B-PER, I-PER, B-LOC, I-LOC and O,
+in which B-ORG for begining of ORG and I-ORG for inside of ORG.
+Prefixes which are called &#8216;tag type&#8217; here are added to chunk types and there are two tag types including B and I.
+Of course, the training data should be labeled accordingly.</p>
+<ul class="simple">
+<li>Mapping is done correctly by the listed equations and assigning protocol.</li>
+</ul>
+<p>The following table are equations to extract tag type and chunk type from a label.</p>
+<div class="highlight-text"><div class="highlight"><pre><span></span>tagType = label % numTagType
+chunkType = label / numTagType
+otherChunkType = numChunkTypes
+</pre></div>
+</div>
+<p>The following table shows the mapping rule between tagType and tag type in each scheme.</p>
+<div class="highlight-text"><div class="highlight"><pre><span></span>Scheme Begin Inside End   Single
+plain  0     -      -     -
+IOB    0     1      -     -
+IOE    -     0      1     -
+IOBES  0     1      2     3
+</pre></div>
+</div>
+<p>Continue the NER example, and the label dict should look like this to satify above equations:</p>
+<div class="highlight-text"><div class="highlight"><pre><span></span>B-ORG  0
+I-ORG  1
+B-PER  2
+I-PER  3
+B-LOC  4
+I-LOC  5
+O      6
+</pre></div>
+</div>
+<p>In this example, chunkType has three values: 0 for ORG, 1 for PER, 2 for LOC, because the scheme is
+&#8220;IOB&#8221; so tagType has two values: 0 for B and 1 for I.
+Here we will use I-LOC to explain the above mapping rules in detail.
+For I-LOC, the label id is 5, so we can get tagType=1 and chunkType=2, which means I-LOC is a part of NER chunk LOC
+and the tag is I.</p>
+<p>The simple usage is:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="nb">eval</span> <span class="o">=</span> <span class="n">evaluator</span><span class="o">.</span><span class="n">chunk</span><span class="p">(</span><span class="nb">input</span><span class="p">,</span> <span class="n">label</span><span class="p">,</span> <span class="n">chunk_scheme</span><span class="p">,</span> <span class="n">num_chunk_types</span><span class="p">)</span>
+</pre></div>
+</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>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layers.</li>
+<li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; An input layer containing the ground truth label.</li>
+<li><strong>chunk_scheme</strong> (<em>basestring</em>) &#8211; The labelling schemes support 4 types. It is one of
+&#8220;IOB&#8221;, &#8220;IOE&#8221;, &#8220;IOBES&#8221;, &#8220;plain&#8221;. It is required.</li>
+<li><strong>num_chunk_types</strong> &#8211; number of chunk types other than &#8220;other&#8221;</li>
+<li><strong>name</strong> (<em>basename|None</em>) &#8211; The Evaluator name, it is optional.</li>
+<li><strong>excluded_chunk_types</strong> (<em>list of integer|None</em>) &#8211; chunks of these types are not considered</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="precision-recall">
+<h3>precision_recall<a class="headerlink" href="#precision-recall" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.evaluator.</code><code class="descname">precision_recall</code><span class="sig-paren">(</span><em>*args</em>, <em>**xargs</em><span class="sig-paren">)</span></dt>
+<dd><p>An Evaluator to calculate precision and recall, F1-score.
+It is adapt to the task with multiple labels.</p>
+<ul class="simple">
+<li>If positive_label=-1, it will print the average precision, recall,
+F1-score of all labels.</li>
+<li>If use specify positive_label, it will print the precision, recall,
+F1-score of this label.</li>
+</ul>
+<p>The simple usage:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="nb">eval</span> <span class="o">=</span> <span class="n">precision_evaluator</span><span class="o">.</span><span class="n">recall</span><span class="p">(</span><span class="nb">input</span><span class="p">,</span> <span class="n">label</span><span class="p">)</span>
+</pre></div>
+</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>name</strong> (<em>None|basestring</em>) &#8211; Evaluator name.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input Layer name. The output prediction of network.</li>
+<li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Label layer name.</li>
+<li><strong>positive_label</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; The input label layer.</li>
+<li><strong>weight</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Weight Layer name. It should be a matrix with size
+[sample_num, 1]. (TODO, explaination)</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+</div>
+<div class="section" id="rank">
+<h2>Rank<a class="headerlink" href="#rank" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="pnpair">
+<h3>pnpair<a class="headerlink" href="#pnpair" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.evaluator.</code><code class="descname">pnpair</code><span class="sig-paren">(</span><em>*args</em>, <em>**xargs</em><span class="sig-paren">)</span></dt>
+<dd><p>Positive-negative pair rate Evaluator which adapts to rank task like
+learning to rank. This evaluator must contain at least three layers.</p>
+<p>The simple usage:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="nb">eval</span> <span class="o">=</span> <span class="n">evaluator</span><span class="o">.</span><span class="n">pnpair</span><span class="p">(</span><span class="nb">input</span><span class="p">,</span> <span class="n">label</span><span class="p">,</span> <span class="n">query_id</span><span class="p">)</span>
+</pre></div>
+</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>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input Layer name. The output prediction of network.</li>
+<li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Label layer name.</li>
+<li><strong>query_id</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Query_id layer name. Query_id indicates that which query
+each sample belongs to. Its shape should be
+the same as output of Label layer.</li>
+<li><strong>weight</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Weight Layer name. It should be a matrix with size
+[sample_num, 1] which indicates the weight of each sample.
+The default weight of sample is 1 if the weight layer is None.
+And the pair weight is the mean of the two samples&#8217; weight.</li>
+<li><strong>name</strong> (<em>None|basestring</em>) &#8211; Evaluator name.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+</div>
+<div class="section" id="utils">
+<h2>Utils<a class="headerlink" href="#utils" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="sum">
+<h3>sum<a class="headerlink" href="#sum" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.evaluator.</code><code class="descname">sum</code><span class="sig-paren">(</span><em>*args</em>, <em>**xargs</em><span class="sig-paren">)</span></dt>
+<dd><p>An Evaluator to sum the result of input.</p>
+<p>The simple usage:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="nb">eval</span> <span class="o">=</span> <span class="n">evaluator</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="nb">input</span><span class="p">)</span>
+</pre></div>
+</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>name</strong> (<em>None|basestring</em>) &#8211; Evaluator name.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input Layer name.</li>
+<li><strong>weight</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Weight Layer name. It should be a matrix with size
+[sample_num, 1]. (TODO, explaination)</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="column-sum">
+<h3>column_sum<a class="headerlink" href="#column-sum" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.evaluator.</code><code class="descname">column_sum</code><span class="sig-paren">(</span><em>*args</em>, <em>**xargs</em><span class="sig-paren">)</span></dt>
+<dd><p>This Evaluator is used to sum the last column of input.</p>
+<p>The simple usage is:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="nb">eval</span> <span class="o">=</span> <span class="n">column_evaluator</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="nb">input</span><span class="p">,</span> <span class="n">label</span><span class="p">)</span>
+</pre></div>
+</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>name</strong> (<em>None|basestring</em>) &#8211; Evaluator name.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input Layer name.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+</div>
+<div class="section" id="print">
+<h2>Print<a class="headerlink" href="#print" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="classification-error-printer">
+<h3>classification_error_printer<a class="headerlink" href="#classification-error-printer" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.evaluator.</code><code class="descname">classification_error_printer</code><span class="sig-paren">(</span><em>*args</em>, <em>**xargs</em><span class="sig-paren">)</span></dt>
+<dd><p>This Evaluator is used to print the classification error of each sample.</p>
+<p>The simple usage is:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="nb">eval</span> <span class="o">=</span> <span class="n">classification_error_evaluator</span><span class="o">.</span><span class="n">printer</span><span class="p">(</span><span class="nb">input</span><span class="p">)</span>
+</pre></div>
+</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>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer.</li>
+<li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input label layer.</li>
+<li><strong>name</strong> (<em>None|basestring</em>) &#8211; Evaluator name.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="gradient-printer">
+<h3>gradient_printer<a class="headerlink" href="#gradient-printer" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.evaluator.</code><code class="descname">gradient_printer</code><span class="sig-paren">(</span><em>*args</em>, <em>**xargs</em><span class="sig-paren">)</span></dt>
+<dd><p>This Evaluator is used to print the gradient of input layers. It contains
+one or more input layers.</p>
+<p>The simple usage is:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="nb">eval</span> <span class="o">=</span> <span class="n">gradient_evaluator</span><span class="o">.</span><span class="n">printer</span><span class="p">(</span><span class="nb">input</span><span class="p">)</span>
+</pre></div>
+</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>input</strong> (<em>paddle.v2.config_base.Layer|list</em>) &#8211; One or more input layers.</li>
+<li><strong>name</strong> (<em>None|basestring</em>) &#8211; Evaluator name.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="maxid-printer">
+<h3>maxid_printer<a class="headerlink" href="#maxid-printer" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.evaluator.</code><code class="descname">maxid_printer</code><span class="sig-paren">(</span><em>*args</em>, <em>**xargs</em><span class="sig-paren">)</span></dt>
+<dd><p>This Evaluator is used to print maximum top k values and their indexes
+of each row of input layers. It contains one or more input layers.
+k is specified by num_results.</p>
+<p>The simple usage is:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="nb">eval</span> <span class="o">=</span> <span class="n">maxid_evaluator</span><span class="o">.</span><span class="n">printer</span><span class="p">(</span><span class="nb">input</span><span class="p">)</span>
+</pre></div>
+</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>input</strong> (<em>paddle.v2.config_base.Layer|list</em>) &#8211; Input Layer name.</li>
+<li><strong>num_results</strong> (<em>int.</em>) &#8211; This number is used to specify the top k numbers.
+It is 1 by default.</li>
+<li><strong>name</strong> (<em>None|basestring</em>) &#8211; Evaluator name.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="maxframe-printer">
+<h3>maxframe_printer<a class="headerlink" href="#maxframe-printer" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.evaluator.</code><code class="descname">maxframe_printer</code><span class="sig-paren">(</span><em>*args</em>, <em>**xargs</em><span class="sig-paren">)</span></dt>
+<dd><p>This Evaluator is used to print the top k frames of each input layers.
+The input layers should contain sequences info or sequences type.
+k is specified by num_results.
+It contains one or more input layers.</p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p class="last">The width of each frame is 1.</p>
+</div>
+<p>The simple usage is:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="nb">eval</span> <span class="o">=</span> <span class="n">maxframe_evaluator</span><span class="o">.</span><span class="n">printer</span><span class="p">(</span><span class="nb">input</span><span class="p">)</span>
+</pre></div>
+</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>input</strong> (<em>paddle.v2.config_base.Layer|list</em>) &#8211; Input Layer name.</li>
+<li><strong>name</strong> (<em>None|basestring</em>) &#8211; Evaluator name.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="seqtext-printer">
+<h3>seqtext_printer<a class="headerlink" href="#seqtext-printer" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.evaluator.</code><code class="descname">seqtext_printer</code><span class="sig-paren">(</span><em>*args</em>, <em>**xargs</em><span class="sig-paren">)</span></dt>
+<dd><p>Sequence text printer will print text according to index matrix and a
+dictionary. There can be multiple input to this layer:</p>
+<p>1. If there is no id_input, the input must be a matrix containing
+the sequence of indices;</p>
+<ol class="arabic simple" start="2">
+<li>If there is id_input, it should be ids, and interpreted as sample ids.</li>
+</ol>
+<p>The output format will be:</p>
+<ol class="arabic simple">
+<li>sequence without sub-sequence, and there is probability.</li>
+</ol>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="nb">id</span>      <span class="n">prob</span> <span class="n">space_seperated_tokens_from_dictionary_according_to_seq</span>
+</pre></div>
+</div>
+<ol class="arabic simple" start="2">
+<li>sequence without sub-sequence, and there is not probability.</li>
+</ol>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="nb">id</span>      <span class="n">space_seperated_tokens_from_dictionary_according_to_seq</span>
+</pre></div>
+</div>
+<ol class="arabic simple" start="3">
+<li>sequence with sub-sequence, and there is not probability.</li>
+</ol>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="nb">id</span>      <span class="n">space_seperated_tokens_from_dictionary_according_to_sub_seq</span>
+                <span class="n">space_seperated_tokens_from_dictionary_according_to_sub_seq</span>
+<span class="o">...</span>
+</pre></div>
+</div>
+<p>Typically SequenceTextPrinter layer takes output of maxid or RecurrentGroup
+with maxid (when generating) as an input.</p>
+<p>The simple usage is:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="nb">eval</span> <span class="o">=</span> <span class="n">seqtext_evaluator</span><span class="o">.</span><span class="n">printer</span><span class="p">(</span><span class="nb">input</span><span class="o">=</span><span class="n">maxid</span><span class="p">,</span>
+                                 <span class="n">id_input</span><span class="o">=</span><span class="n">sample_id</span><span class="p">,</span>
+                                 <span class="n">dict_file</span><span class="o">=</span><span class="n">dict_file</span><span class="p">,</span>
+                                 <span class="n">result_file</span><span class="o">=</span><span class="n">result_file</span><span class="p">)</span>
+</pre></div>
+</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 simple">
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer|list</em>) &#8211; Input Layer name.</li>
+<li><strong>result_file</strong> (<em>basestring</em>) &#8211; Path of the file to store the generated results.</li>
+<li><strong>id_input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Index of the input sequence, and the specified index will
+be prited in the gereated results. This an optional
+parameter.</li>
+<li><strong>dict_file</strong> (<em>basestring</em>) &#8211; Path of dictionary. This is an optional parameter.
+Every line is a word in the dictionary with
+(line number - 1) as the word index.
+If this parameter is set to None, or to an empty string,
+only word index are printed in the generated results.</li>
+<li><strong>delimited</strong> (<em>bool</em>) &#8211; Whether to use space to separate output tokens.
+Default is True. No space is added if set to False.</li>
+<li><strong>name</strong> (<em>None|basestring</em>) &#8211; Evaluator name.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">The seq_text_printer that prints the generated sequence to a file.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">evaluator</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="value-printer">
+<h3>value_printer<a class="headerlink" href="#value-printer" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.evaluator.</code><code class="descname">value_printer</code><span class="sig-paren">(</span><em>*args</em>, <em>**xargs</em><span class="sig-paren">)</span></dt>
+<dd><p>This Evaluator is used to print the values of input layers. It contains
+one or more input layers.</p>
+<p>The simple usage is:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="nb">eval</span> <span class="o">=</span> <span class="n">value_evaluator</span><span class="o">.</span><span class="n">printer</span><span class="p">(</span><span class="nb">input</span><span class="p">)</span>
+</pre></div>
+</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>input</strong> (<em>paddle.v2.config_base.Layer|list</em>) &#8211; One or more input layers.</li>
+<li><strong>name</strong> (<em>None|basestring</em>) &#8211; Evaluator name.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+</div>
+<div class="section" id="detection">
+<h2>Detection<a class="headerlink" href="#detection" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="detection-map">
+<h3>detection_map<a class="headerlink" href="#detection-map" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.evaluator.</code><code class="descname">detection_map</code><span class="sig-paren">(</span><em>*args</em>, <em>**xargs</em><span class="sig-paren">)</span></dt>
+<dd><p>Detection mAP Evaluator. It will print mean Average Precision (mAP) for detection.</p>
+<p>The detection mAP Evaluator based on the output of detection_output layer counts
+the true positive and the false positive bbox and integral them to get the
+mAP.</p>
+<p>The simple usage is:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="nb">eval</span> <span class="o">=</span>  <span class="n">detection_evaluator</span><span class="o">.</span><span class="n">map</span><span class="p">(</span><span class="nb">input</span><span class="o">=</span><span class="n">det_output</span><span class="p">,</span><span class="n">label</span><span class="o">=</span><span class="n">lbl</span><span class="p">)</span>
+</pre></div>
+</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>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer.</li>
+<li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Label layer.</li>
+<li><strong>overlap_threshold</strong> (<em>float</em>) &#8211; The bbox overlap threshold of a true positive.</li>
+<li><strong>background_id</strong> (<em>int</em>) &#8211; The background class index.</li>
+<li><strong>evaluate_difficult</strong> (<em>bool</em>) &#8211; Whether evaluate a difficult ground truth.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+</div>
+</div>
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develop/api_doc/v2/config/networks.html

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+    <li>Networks</li>
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+           <div itemprop="articleBody">
+            
+  <div class="section" id="networks">
+<h1>Networks<a class="headerlink" href="#networks" title="Permalink to this headline">¶</a></h1>
+<p>The v2.networks module contains pieces of neural network that combine multiple layers.</p>
+<div class="section" id="nlp">
+<h2>NLP<a class="headerlink" href="#nlp" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="sequence-conv-pool">
+<h3>sequence_conv_pool<a class="headerlink" href="#sequence-conv-pool" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.networks.</code><code class="descname">sequence_conv_pool</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
+<dd><p>Text convolution pooling group.</p>
+<p>Text input =&gt; Context Projection =&gt; FC Layer =&gt; Pooling =&gt; Output.</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 simple">
+<li><strong>name</strong> (<em>basestring</em>) &#8211; group name.</li>
+<li><strong>input</strong> (<em>LayerOutput</em>) &#8211; input layer.</li>
+<li><strong>context_len</strong> (<em>int</em>) &#8211; context projection length. See
+context_projection&#8217;s document.</li>
+<li><strong>hidden_size</strong> (<em>int</em>) &#8211; FC Layer size.</li>
+<li><strong>context_start</strong> (<em>int|None</em>) &#8211; context start position. See
+context_projection&#8217;s context_start.</li>
+<li><strong>pool_type</strong> (<em>BasePoolingType</em>) &#8211; pooling layer type. See pooling_layer&#8217;s document.</li>
+<li><strong>context_proj_layer_name</strong> (<em>basestring</em>) &#8211; context projection layer name.
+None if user don&#8217;t care.</li>
+<li><strong>context_proj_param_attr</strong> (<em>ParameterAttribute|None</em>) &#8211; padding parameter attribute of context projection layer.
+If false, it means padding always be zero.</li>
+<li><strong>fc_layer_name</strong> (<em>basestring</em>) &#8211; fc layer name. None if user don&#8217;t care.</li>
+<li><strong>fc_param_attr</strong> (<em>ParameterAttribute|None</em>) &#8211; fc layer parameter attribute. None if user don&#8217;t care.</li>
+<li><strong>fc_bias_attr</strong> (<em>ParameterAttribute|False|None</em>) &#8211; fc bias parameter attribute. False if no bias,
+None if user don&#8217;t care.</li>
+<li><strong>fc_act</strong> (<em>BaseActivation</em>) &#8211; fc layer activation type. None means tanh.</li>
+<li><strong>pool_bias_attr</strong> (<em>ParameterAttribute|False|None</em>) &#8211; pooling layer bias attr. False if no bias.
+None if user don&#8217;t care.</li>
+<li><strong>fc_attr</strong> (<em>ExtraLayerAttribute</em>) &#8211; fc layer extra attribute.</li>
+<li><strong>context_attr</strong> (<em>ExtraLayerAttribute</em>) &#8211; context projection layer extra attribute.</li>
+<li><strong>pool_attr</strong> (<em>ExtraLayerAttribute</em>) &#8211; pooling layer extra attribute.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">layer&#8217;s output.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">LayerOutput</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="text-conv-pool">
+<span id="api-trainer-config-helpers-network-text-conv-pool"></span><h3>text_conv_pool<a class="headerlink" href="#text-conv-pool" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.networks.</code><code class="descname">text_conv_pool</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
+<dd><p>Text convolution pooling group.</p>
+<p>Text input =&gt; Context Projection =&gt; FC Layer =&gt; Pooling =&gt; Output.</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 simple">
+<li><strong>name</strong> (<em>basestring</em>) &#8211; group name.</li>
+<li><strong>input</strong> (<em>LayerOutput</em>) &#8211; input layer.</li>
+<li><strong>context_len</strong> (<em>int</em>) &#8211; context projection length. See
+context_projection&#8217;s document.</li>
+<li><strong>hidden_size</strong> (<em>int</em>) &#8211; FC Layer size.</li>
+<li><strong>context_start</strong> (<em>int|None</em>) &#8211; context start position. See
+context_projection&#8217;s context_start.</li>
+<li><strong>pool_type</strong> (<em>BasePoolingType</em>) &#8211; pooling layer type. See pooling_layer&#8217;s document.</li>
+<li><strong>context_proj_layer_name</strong> (<em>basestring</em>) &#8211; context projection layer name.
+None if user don&#8217;t care.</li>
+<li><strong>context_proj_param_attr</strong> (<em>ParameterAttribute|None</em>) &#8211; padding parameter attribute of context projection layer.
+If false, it means padding always be zero.</li>
+<li><strong>fc_layer_name</strong> (<em>basestring</em>) &#8211; fc layer name. None if user don&#8217;t care.</li>
+<li><strong>fc_param_attr</strong> (<em>ParameterAttribute|None</em>) &#8211; fc layer parameter attribute. None if user don&#8217;t care.</li>
+<li><strong>fc_bias_attr</strong> (<em>ParameterAttribute|False|None</em>) &#8211; fc bias parameter attribute. False if no bias,
+None if user don&#8217;t care.</li>
+<li><strong>fc_act</strong> (<em>BaseActivation</em>) &#8211; fc layer activation type. None means tanh.</li>
+<li><strong>pool_bias_attr</strong> (<em>ParameterAttribute|False|None</em>) &#8211; pooling layer bias attr. False if no bias.
+None if user don&#8217;t care.</li>
+<li><strong>fc_attr</strong> (<em>ExtraLayerAttribute</em>) &#8211; fc layer extra attribute.</li>
+<li><strong>context_attr</strong> (<em>ExtraLayerAttribute</em>) &#8211; context projection layer extra attribute.</li>
+<li><strong>pool_attr</strong> (<em>ExtraLayerAttribute</em>) &#8211; pooling layer extra attribute.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">layer&#8217;s output.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">LayerOutput</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+</div>
+<div class="section" id="images">
+<h2>Images<a class="headerlink" href="#images" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="img-conv-bn-pool">
+<h3>img_conv_bn_pool<a class="headerlink" href="#img-conv-bn-pool" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.networks.</code><code class="descname">img_conv_bn_pool</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
+<dd><p>Convolution, batch normalization, pooling group.</p>
+<p>Img input =&gt; Conv =&gt; BN =&gt; Pooling =&gt; Output.</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 simple">
+<li><strong>name</strong> (<em>basestring</em>) &#8211; group name.</li>
+<li><strong>input</strong> (<em>LayerOutput</em>) &#8211; input layer.</li>
+<li><strong>filter_size</strong> (<em>int</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>num_filters</strong> (<em>int</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>pool_size</strong> (<em>int</em>) &#8211; see img_pool_layer for details.</li>
+<li><strong>pool_type</strong> (<em>BasePoolingType</em>) &#8211; see img_pool_layer for details.</li>
+<li><strong>act</strong> (<em>BaseActivation</em>) &#8211; see batch_norm_layer for details.</li>
+<li><strong>groups</strong> (<em>int</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>conv_stride</strong> (<em>int</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>conv_padding</strong> (<em>int</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>conv_bias_attr</strong> (<em>ParameterAttribute</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>num_channel</strong> (<em>int</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>conv_param_attr</strong> (<em>ParameterAttribute</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>shared_bias</strong> (<em>bool</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>conv_layer_attr</strong> (<em>ExtraLayerOutput</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>bn_param_attr</strong> (<em>ParameterAttribute</em>) &#8211; see batch_norm_layer for details.</li>
+<li><strong>bn_bias_attr</strong> (<em>ParameterAttribute</em>) &#8211; see batch_norm_layer for details.</li>
+<li><strong>bn_layer_attr</strong> (<em>ExtraLayerAttribute</em>) &#8211; see batch_norm_layer for details.</li>
+<li><strong>pool_stride</strong> (<em>int</em>) &#8211; see img_pool_layer for details.</li>
+<li><strong>pool_padding</strong> (<em>int</em>) &#8211; see img_pool_layer for details.</li>
+<li><strong>pool_layer_attr</strong> (<em>ExtraLayerAttribute</em>) &#8211; see img_pool_layer for details.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">layer&#8217;s output</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">LayerOutput</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="img-conv-group">
+<h3>img_conv_group<a class="headerlink" href="#img-conv-group" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.networks.</code><code class="descname">img_conv_group</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
+<dd><p>Image Convolution Group, Used for vgg net.</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 simple">
+<li><strong>conv_batchnorm_drop_rate</strong> (<em>list</em>) &#8211; if conv_with_batchnorm[i] is true,
+conv_batchnorm_drop_rate[i] represents the drop rate of each batch norm.</li>
+<li><strong>input</strong> (<em>LayerOutput</em>) &#8211; input layer.</li>
+<li><strong>conv_num_filter</strong> (<em>list|tuple</em>) &#8211; list of output channels num.</li>
+<li><strong>pool_size</strong> (<em>int</em>) &#8211; pooling filter size.</li>
+<li><strong>num_channels</strong> (<em>int</em>) &#8211; input channels num.</li>
+<li><strong>conv_padding</strong> (<em>int</em>) &#8211; convolution padding size.</li>
+<li><strong>conv_filter_size</strong> (<em>int</em>) &#8211; convolution filter size.</li>
+<li><strong>conv_act</strong> (<em>BaseActivation</em>) &#8211; activation funciton after convolution.</li>
+<li><strong>conv_with_batchnorm</strong> (<em>list</em>) &#8211; if conv_with_batchnorm[i] is true,
+there is a batch normalization operation after each convolution.</li>
+<li><strong>pool_stride</strong> (<em>int</em>) &#8211; pooling stride size.</li>
+<li><strong>pool_type</strong> (<em>BasePoolingType</em>) &#8211; pooling type.</li>
+<li><strong>param_attr</strong> (<em>ParameterAttribute</em>) &#8211; param attribute of convolution layer,
+None means default attribute.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">layer&#8217;s output</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">LayerOutput</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="simple-img-conv-pool">
+<span id="api-trainer-config-helpers-network-simple-img-conv-pool"></span><h3>simple_img_conv_pool<a class="headerlink" href="#simple-img-conv-pool" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.networks.</code><code class="descname">simple_img_conv_pool</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
+<dd><p>Simple image convolution and pooling group.</p>
+<p>Img input =&gt; Conv =&gt; Pooling =&gt; Output.</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 simple">
+<li><strong>name</strong> (<em>basestring</em>) &#8211; group name.</li>
+<li><strong>input</strong> (<em>LayerOutput</em>) &#8211; input layer.</li>
+<li><strong>filter_size</strong> (<em>int</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>num_filters</strong> (<em>int</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>pool_size</strong> (<em>int</em>) &#8211; see img_pool_layer for details.</li>
+<li><strong>pool_type</strong> (<em>BasePoolingType</em>) &#8211; see img_pool_layer for details.</li>
+<li><strong>act</strong> (<em>BaseActivation</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>groups</strong> (<em>int</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>conv_stride</strong> (<em>int</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>conv_padding</strong> (<em>int</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>bias_attr</strong> (<em>ParameterAttribute</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>num_channel</strong> (<em>int</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>param_attr</strong> (<em>ParameterAttribute</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>shared_bias</strong> (<em>bool</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>conv_layer_attr</strong> (<em>ExtraLayerAttribute</em>) &#8211; see img_conv_layer for details.</li>
+<li><strong>pool_stride</strong> (<em>int</em>) &#8211; see img_pool_layer for details.</li>
+<li><strong>pool_padding</strong> (<em>int</em>) &#8211; see img_pool_layer for details.</li>
+<li><strong>pool_layer_attr</strong> (<em>ExtraLayerAttribute</em>) &#8211; see img_pool_layer for details.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">layer&#8217;s output</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">LayerOutput</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="small-vgg">
+<h3>small_vgg<a class="headerlink" href="#small-vgg" title="Permalink to this headline">¶</a></h3>
+</div>
+<div class="section" id="vgg-16-network">
+<h3>vgg_16_network<a class="headerlink" href="#vgg-16-network" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.networks.</code><code class="descname">vgg_16_network</code><span class="sig-paren">(</span><em>input_image</em>, <em>num_channels</em>, <em>num_classes=1000</em><span class="sig-paren">)</span></dt>
+<dd><p>Same model from <a class="reference external" href="https://gist.github.com/ksimonyan/211839e770f7b538e2d8">https://gist.github.com/ksimonyan/211839e770f7b538e2d8</a></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 simple">
+<li><strong>num_classes</strong> (<em>int</em>) &#8211; number of class.</li>
+<li><strong>input_image</strong> (<em>LayerOutput</em>) &#8211; input layer.</li>
+<li><strong>num_channels</strong> (<em>int</em>) &#8211; input channels num.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">layer&#8217;s output</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">LayerOutput</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+</div>
+<div class="section" id="recurrent">
+<h2>Recurrent<a class="headerlink" href="#recurrent" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="lstm">
+<h3>LSTM<a class="headerlink" href="#lstm" title="Permalink to this headline">¶</a></h3>
+<div class="section" id="lstmemory-unit">
+<h4>lstmemory_unit<a class="headerlink" href="#lstmemory-unit" title="Permalink to this headline">¶</a></h4>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.networks.</code><code class="descname">lstmemory_unit</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
+<dd><p>lstmemory_unit defines the caculation process of a LSTM unit during a
+single time step. This function is not a recurrent layer, so it can not be
+directly used to process sequence input. This function is always used in
+recurrent_group (see layers.py for more details) to implement attention
+mechanism.</p>
+<p>Please refer to  <strong>Generating Sequences With Recurrent Neural Networks</strong>
+for more details about LSTM. The link goes as follows:
+.. _Link: <a class="reference external" href="https://arxiv.org/abs/1308.0850">https://arxiv.org/abs/1308.0850</a></p>
+<div class="math">
+\[ \begin{align}\begin{aligned}i_t &amp; = \sigma(W_{x_i}x_{t} + W_{h_i}h_{t-1} + W_{c_i}c_{t-1} + b_i)\\f_t &amp; = \sigma(W_{x_f}x_{t} + W_{h_f}h_{t-1} + W_{c_f}c_{t-1} + b_f)\\c_t &amp; = f_tc_{t-1} + i_t tanh (W_{x_c}x_t+W_{h_c}h_{t-1} + b_c)\\o_t &amp; = \sigma(W_{x_o}x_{t} + W_{h_o}h_{t-1} + W_{c_o}c_t + b_o)\\h_t &amp; = o_t tanh(c_t)\end{aligned}\end{align} \]</div>
+<p>The example usage is:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">lstm_step</span> <span class="o">=</span> <span class="n">lstmemory_unit</span><span class="p">(</span><span class="nb">input</span><span class="o">=</span><span class="p">[</span><span class="n">layer1</span><span class="p">],</span>
+                           <span class="n">size</span><span class="o">=</span><span class="mi">256</span><span class="p">,</span>
+                           <span class="n">act</span><span class="o">=</span><span class="n">TanhActivation</span><span class="p">(),</span>
+                           <span class="n">gate_act</span><span class="o">=</span><span class="n">SigmoidActivation</span><span class="p">(),</span>
+                           <span class="n">state_act</span><span class="o">=</span><span class="n">TanhActivation</span><span class="p">())</span>
+</pre></div>
+</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 simple">
+<li><strong>input</strong> (<em>LayerOutput</em>) &#8211; Input layer.</li>
+<li><strong>out_memory</strong> (<em>LayerOutput | None</em>) &#8211; The output of previous time step.</li>
+<li><strong>name</strong> (<em>basestring</em>) &#8211; The lstmemory unit name.</li>
+<li><strong>size</strong> (<em>int</em>) &#8211; The lstmemory unit size.</li>
+<li><strong>param_attr</strong> (<em>ParameterAttribute</em>) &#8211; The parameter attribute for the weights in
+input to hidden projection.
+None means default attribute.</li>
+<li><strong>act</strong> (<em>BaseActivation</em>) &#8211; The last activiation type of lstm.</li>
+<li><strong>gate_act</strong> (<em>BaseActivation</em>) &#8211; The gate activiation type of lstm.</li>
+<li><strong>state_act</strong> (<em>BaseActivation</em>) &#8211; The state activiation type of lstm.</li>
+<li><strong>input_proj_bias_attr</strong> (<em>ParameterAttribute|bool|None</em>) &#8211; The parameter attribute for the bias in
+input to hidden projection.
+False or None means no bias.
+If this parameter is set to True,
+the bias is initialized to zero.</li>
+<li><strong>input_proj_layer_attr</strong> (<em>ExtraLayerAttribute</em>) &#8211; The extra layer attribute for
+input to hidden projection of the LSTM unit,
+such as dropout, error clipping.</li>
+<li><strong>lstm_bias_attr</strong> (<em>ParameterAttribute|True|None</em>) &#8211; The parameter attribute for the bias in lstm layer.
+False or None means no bias.
+If this parameter is set to True,
+the bias is initialized to zero.</li>
+<li><strong>lstm_layer_attr</strong> (<em>ExtraLayerAttribute</em>) &#8211; The extra attribute of lstm layer.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">The lstmemory unit name.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">LayerOutput</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="lstmemory-group">
+<h4>lstmemory_group<a class="headerlink" href="#lstmemory-group" title="Permalink to this headline">¶</a></h4>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.networks.</code><code class="descname">lstmemory_group</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
+<dd><p>lstm_group is a recurrent_group version of Long Short Term Memory. It
+does exactly the same calculation as the lstmemory layer (see lstmemory in
+layers.py for the maths) does. A promising benefit is that LSTM memory
+cell states(or hidden states) in every time step are accessible to the
+user. This is especially useful in attention model. If you do not need to
+access the internal states of the lstm and merely use its outputs,
+it is recommended to use the lstmemory, which is relatively faster than
+lstmemory_group.</p>
+<p>NOTE: In PaddlePaddle&#8217;s implementation, the following input-to-hidden
+multiplications:
+<span class="math">\(W_{x_i}x_{t}\)</span> , <span class="math">\(W_{x_f}x_{t}\)</span>,
+<span class="math">\(W_{x_c}x_t\)</span>, <span class="math">\(W_{x_o}x_{t}\)</span> are not done in lstmemory_unit to
+speed up the calculations. Consequently, an additional mixed_layer with
+full_matrix_projection must be included before lstmemory_unit is called.</p>
+<p>The example usage is:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">lstm_step</span> <span class="o">=</span> <span class="n">lstmemory_group</span><span class="p">(</span><span class="nb">input</span><span class="o">=</span><span class="p">[</span><span class="n">layer1</span><span class="p">],</span>
+                            <span class="n">size</span><span class="o">=</span><span class="mi">256</span><span class="p">,</span>
+                            <span class="n">act</span><span class="o">=</span><span class="n">TanhActivation</span><span class="p">(),</span>
+                            <span class="n">gate_act</span><span class="o">=</span><span class="n">SigmoidActivation</span><span class="p">(),</span>
+                            <span class="n">state_act</span><span class="o">=</span><span class="n">TanhActivation</span><span class="p">())</span>
+</pre></div>
+</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 simple">
+<li><strong>input</strong> (<em>LayerOutput</em>) &#8211; Input layer.</li>
+<li><strong>size</strong> (<em>int</em>) &#8211; The lstmemory group size.</li>
+<li><strong>name</strong> (<em>basestring</em>) &#8211; The name of lstmemory group.</li>
+<li><strong>out_memory</strong> (<em>LayerOutput | None</em>) &#8211; The output of previous time step.</li>
+<li><strong>reverse</strong> (<em>bool</em>) &#8211; Process the input in a reverse order or not.</li>
+<li><strong>param_attr</strong> (<em>ParameterAttribute</em>) &#8211; The parameter attribute for the weights in
+input to hidden projection.
+None means default attribute.</li>
+<li><strong>act</strong> (<em>BaseActivation</em>) &#8211; The last activiation type of lstm.</li>
+<li><strong>gate_act</strong> (<em>BaseActivation</em>) &#8211; The gate activiation type of lstm.</li>
+<li><strong>state_act</strong> (<em>BaseActivation</em>) &#8211; The state activiation type of lstm.</li>
+<li><strong>input_proj_bias_attr</strong> (<em>ParameterAttribute|bool|None</em>) &#8211; The parameter attribute for the bias in
+input to hidden projection.
+False or None means no bias.
+If this parameter is set to True,
+the bias is initialized to zero.</li>
+<li><strong>input_proj_layer_attr</strong> (<em>ExtraLayerAttribute</em>) &#8211; The extra layer attribute for
+input to hidden projection of the LSTM unit,
+such as dropout, error clipping.</li>
+<li><strong>lstm_bias_attr</strong> (<em>ParameterAttribute|True|None</em>) &#8211; The parameter attribute for the bias in lstm layer.
+False or None means no bias.
+If this parameter is set to True,
+the bias is initialized to zero.</li>
+<li><strong>lstm_layer_attr</strong> (<em>ExtraLayerAttribute</em>) &#8211; The extra attribute of lstm layer.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">the lstmemory group.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">LayerOutput</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="simple-lstm">
+<h4>simple_lstm<a class="headerlink" href="#simple-lstm" title="Permalink to this headline">¶</a></h4>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.networks.</code><code class="descname">simple_lstm</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
+<dd><p>Simple LSTM Cell.</p>
+<p>It just combines a mixed layer with fully_matrix_projection and a lstmemory
+layer. The simple lstm cell was implemented with follow equations.</p>
+<div class="math">
+\[ \begin{align}\begin{aligned}i_t &amp; = \sigma(W_{xi}x_{t} + W_{hi}h_{t-1} + W_{ci}c_{t-1} + b_i)\\f_t &amp; = \sigma(W_{xf}x_{t} + W_{hf}h_{t-1} + W_{cf}c_{t-1} + b_f)\\c_t &amp; = f_tc_{t-1} + i_t tanh (W_{xc}x_t+W_{hc}h_{t-1} + b_c)\\o_t &amp; = \sigma(W_{xo}x_{t} + W_{ho}h_{t-1} + W_{co}c_t + b_o)\\h_t &amp; = o_t tanh(c_t)\end{aligned}\end{align} \]</div>
+<p>Please refer to <strong>Generating Sequences With Recurrent Neural Networks</strong> for more
+details about lstm. <a class="reference external" href="http://arxiv.org/abs/1308.0850">Link</a> is here.</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 simple">
+<li><strong>name</strong> (<em>basestring</em>) &#8211; lstm layer name.</li>
+<li><strong>input</strong> (<em>LayerOutput</em>) &#8211; layer&#8217;s input.</li>
+<li><strong>size</strong> (<em>int</em>) &#8211; lstm layer size.</li>
+<li><strong>reverse</strong> (<em>bool</em>) &#8211; process the input in a reverse order or not.</li>
+<li><strong>mat_param_attr</strong> (<em>ParameterAttribute</em>) &#8211; parameter attribute of matrix projection in mixed layer.</li>
+<li><strong>bias_param_attr</strong> (<em>ParameterAttribute|False</em>) &#8211; bias parameter attribute. False means no bias, None
+means default bias.</li>
+<li><strong>inner_param_attr</strong> (<em>ParameterAttribute</em>) &#8211; parameter attribute of lstm cell.</li>
+<li><strong>act</strong> (<em>BaseActivation</em>) &#8211; last activiation type of lstm.</li>
+<li><strong>gate_act</strong> (<em>BaseActivation</em>) &#8211; gate activiation type of lstm.</li>
+<li><strong>state_act</strong> (<em>BaseActivation</em>) &#8211; state activiation type of lstm.</li>
+<li><strong>mixed_layer_attr</strong> (<em>ExtraLayerAttribute</em>) &#8211; extra attribute of mixed layer.</li>
+<li><strong>lstm_cell_attr</strong> (<em>ExtraLayerAttribute</em>) &#8211; extra attribute of lstm.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">layer&#8217;s output.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">LayerOutput</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="bidirectional-lstm">
+<h4>bidirectional_lstm<a class="headerlink" href="#bidirectional-lstm" title="Permalink to this headline">¶</a></h4>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.networks.</code><code class="descname">bidirectional_lstm</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
+<dd><p>A bidirectional_lstm is a recurrent unit that iterates over the input
+sequence both in forward and backward orders, and then concatenate two
+outputs to form a final output. However, concatenation of two outputs
+is not the only way to form the final output, you can also, for example,
+just add them together.</p>
+<p>Please refer to  <strong>Neural Machine Translation by Jointly Learning to Align
+and Translate</strong> for more details about the bidirectional lstm.
+The link goes as follows:
+.. _Link: <a class="reference external" href="https://arxiv.org/pdf/1409.0473v3.pdf">https://arxiv.org/pdf/1409.0473v3.pdf</a></p>
+<p>The example usage is:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">bi_lstm</span> <span class="o">=</span> <span class="n">bidirectional_lstm</span><span class="p">(</span><span class="nb">input</span><span class="o">=</span><span class="p">[</span><span class="n">input1</span><span class="p">],</span> <span class="n">size</span><span class="o">=</span><span class="mi">512</span><span class="p">)</span>
+</pre></div>
+</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 simple">
+<li><strong>name</strong> (<em>basestring</em>) &#8211; bidirectional lstm layer name.</li>
+<li><strong>input</strong> (<em>LayerOutput</em>) &#8211; input layer.</li>
+<li><strong>size</strong> (<em>int</em>) &#8211; lstm layer size.</li>
+<li><strong>return_seq</strong> (<em>bool</em>) &#8211; If set False, the last time step of output are
+concatenated and returned.
+If set True, the entire output sequences in forward
+and backward directions are concatenated and returned.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">LayerOutput object.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">LayerOutput</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+</div>
+<div class="section" id="gru">
+<h3>GRU<a class="headerlink" href="#gru" title="Permalink to this headline">¶</a></h3>
+<div class="section" id="gru-unit">
+<h4>gru_unit<a class="headerlink" href="#gru-unit" title="Permalink to this headline">¶</a></h4>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.networks.</code><code class="descname">gru_unit</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
+<dd><p>gru_unit defines the calculation process of a gated recurrent unit during a single
+time step. This function is not a recurrent layer, so it can not be
+directly used to process sequence input. This function is always used in
+the recurrent_group (see layers.py for more details) to implement attention
+mechanism.</p>
+<p>Please see grumemory in layers.py for the details about the maths.</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 simple">
+<li><strong>input</strong> (<em>LayerOutput</em>) &#8211; input layer.</li>
+<li><strong>memory_boot</strong> (<em>LayerOutput | None</em>) &#8211; the initialization state of the LSTM cell.</li>
+<li><strong>name</strong> (<em>basestring</em>) &#8211; name of the gru group.</li>
+<li><strong>size</strong> (<em>int</em>) &#8211; hidden size of the gru.</li>
+<li><strong>act</strong> (<em>BaseActivation</em>) &#8211; activation type of gru</li>
+<li><strong>gate_act</strong> (<em>BaseActivation</em>) &#8211; gate activation type or gru</li>
+<li><strong>gru_layer_attr</strong> (<em>ExtraLayerAttribute</em>) &#8211; Extra attribute of the gru layer.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">the gru output layer.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">LayerOutput</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="gru-group">
+<h4>gru_group<a class="headerlink" href="#gru-group" title="Permalink to this headline">¶</a></h4>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.networks.</code><code class="descname">gru_group</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
+<dd><p>gru_group is a recurrent_group version of Gated Recurrent Unit. It
+does exactly the same calculation as the grumemory layer does. A promising
+benefit is that gru hidden states are accessible to the user. This is
+especially useful in attention model. If you do not need to access
+any internal state and merely use the outputs of a GRU, it is recommended
+to use the grumemory, which is relatively faster.</p>
+<p>Please see grumemory in layers.py for more detail about the maths.</p>
+<p>The example usage is:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">gru</span> <span class="o">=</span> <span class="n">gru_group</span><span class="p">(</span><span class="nb">input</span><span class="o">=</span><span class="p">[</span><span class="n">layer1</span><span class="p">],</span>
+                <span class="n">size</span><span class="o">=</span><span class="mi">256</span><span class="p">,</span>
+                <span class="n">act</span><span class="o">=</span><span class="n">TanhActivation</span><span class="p">(),</span>
+                <span class="n">gate_act</span><span class="o">=</span><span class="n">SigmoidActivation</span><span class="p">())</span>
+</pre></div>
+</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 simple">
+<li><strong>input</strong> (<em>LayerOutput</em>) &#8211; input layer.</li>
+<li><strong>memory_boot</strong> (<em>LayerOutput | None</em>) &#8211; the initialization state of the LSTM cell.</li>
+<li><strong>name</strong> (<em>basestring</em>) &#8211; name of the gru group.</li>
+<li><strong>size</strong> (<em>int</em>) &#8211; hidden size of the gru.</li>
+<li><strong>reverse</strong> (<em>bool</em>) &#8211; process the input in a reverse order or not.</li>
+<li><strong>act</strong> (<em>BaseActivation</em>) &#8211; activiation type of gru</li>
+<li><strong>gate_act</strong> (<em>BaseActivation</em>) &#8211; gate activiation type of gru</li>
+<li><strong>gru_bias_attr</strong> (<em>ParameterAttribute|False|None</em>) &#8211; bias parameter attribute of gru layer,
+False means no bias, None means default bias.</li>
+<li><strong>gru_layer_attr</strong> (<em>ExtraLayerAttribute</em>) &#8211; Extra attribute of the gru layer.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">the gru group.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">LayerOutput</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="simple-gru">
+<h4>simple_gru<a class="headerlink" href="#simple-gru" title="Permalink to this headline">¶</a></h4>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.networks.</code><code class="descname">simple_gru</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
+<dd><p>You may see gru_step_layer, grumemory in layers.py, gru_unit, gru_group,
+simple_gru in network.py. The reason why there are so many interfaces is
+that we have two ways to implement recurrent neural network. One way is to
+use one complete layer to implement rnn (including simple rnn, gru and lstm)
+with multiple time steps, such as recurrent_layer, lstmemory, grumemory. But
+the multiplication operation <span class="math">\(W x_t\)</span> is not computed in these layers.
+See details in their interfaces in layers.py.
+The other implementation is to use an recurrent group which can ensemble a
+series of layers to compute rnn step by step. This way is flexible for
+attenion mechanism or other complex connections.</p>
+<ul class="simple">
+<li>gru_step_layer: only compute rnn by one step. It needs an memory as input
+and can be used in recurrent group.</li>
+<li>gru_unit: a wrapper of gru_step_layer with memory.</li>
+<li>gru_group: a GRU cell implemented by a combination of multiple layers in
+recurrent group.
+But <span class="math">\(W x_t\)</span> is not done in group.</li>
+<li>gru_memory: a GRU cell implemented by one layer, which does same calculation
+with gru_group and is faster than gru_group.</li>
+<li>simple_gru: a complete GRU implementation inlcuding <span class="math">\(W x_t\)</span> and
+gru_group. <span class="math">\(W\)</span> contains <span class="math">\(W_r\)</span>, <span class="math">\(W_z\)</span> and <span class="math">\(W\)</span>, see
+formula in grumemory.</li>
+</ul>
+<p>The computational speed is that, grumemory is relatively better than
+gru_group, and gru_group is relatively better than simple_gru.</p>
+<p>The example usage is:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">gru</span> <span class="o">=</span> <span class="n">simple_gru</span><span class="p">(</span><span class="nb">input</span><span class="o">=</span><span class="p">[</span><span class="n">layer1</span><span class="p">],</span> <span class="n">size</span><span class="o">=</span><span class="mi">256</span><span class="p">)</span>
+</pre></div>
+</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 simple">
+<li><strong>input</strong> (<em>LayerOutput</em>) &#8211; input layer.</li>
+<li><strong>name</strong> (<em>basestring</em>) &#8211; name of the gru group.</li>
+<li><strong>size</strong> (<em>int</em>) &#8211; hidden size of the gru.</li>
+<li><strong>reverse</strong> (<em>bool</em>) &#8211; process the input in a reverse order or not.</li>
+<li><strong>act</strong> (<em>BaseActivation</em>) &#8211; activiation type of gru</li>
+<li><strong>gate_act</strong> (<em>BaseActivation</em>) &#8211; gate activiation type of gru</li>
+<li><strong>gru_bias_attr</strong> (<em>ParameterAttribute|False|None</em>) &#8211; bias parameter attribute of gru layer,
+False means no bias, None means default bias.</li>
+<li><strong>gru_layer_attr</strong> (<em>ExtraLayerAttribute</em>) &#8211; Extra attribute of the gru layer.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">the gru group.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">LayerOutput</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="simple-gru2">
+<h4>simple_gru2<a class="headerlink" href="#simple-gru2" title="Permalink to this headline">¶</a></h4>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.networks.</code><code class="descname">simple_gru2</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
+<dd><p>simple_gru2 is the same with simple_gru, but using grumemory instead.
+Please refer to grumemory in layers.py for more detail about the math.
+simple_gru2 is faster than simple_gru.</p>
+<p>The example usage is:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">gru</span> <span class="o">=</span> <span class="n">simple_gru2</span><span class="p">(</span><span class="nb">input</span><span class="o">=</span><span class="p">[</span><span class="n">layer1</span><span class="p">],</span> <span class="n">size</span><span class="o">=</span><span class="mi">256</span><span class="p">)</span>
+</pre></div>
+</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 simple">
+<li><strong>input</strong> (<em>LayerOutput</em>) &#8211; input layer.</li>
+<li><strong>name</strong> (<em>basestring</em>) &#8211; name of the gru group.</li>
+<li><strong>size</strong> (<em>int</em>) &#8211; hidden size of the gru.</li>
+<li><strong>reverse</strong> (<em>bool</em>) &#8211; process the input in a reverse order or not.</li>
+<li><strong>act</strong> (<em>BaseActivation</em>) &#8211; activiation type of gru</li>
+<li><strong>gate_act</strong> (<em>BaseActivation</em>) &#8211; gate activiation type of gru</li>
+<li><strong>gru_bias_attr</strong> (<em>ParameterAttribute|False|None</em>) &#8211; bias parameter attribute of gru layer,
+False means no bias, None means default bias.</li>
+<li><strong>gru_param_attr</strong> (<em>ParameterAttribute|None</em>) &#8211; param parameter attribute of gru layer,
+None means default param.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">the gru group.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">LayerOutput</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="bidirectional-gru">
+<h4>bidirectional_gru<a class="headerlink" href="#bidirectional-gru" title="Permalink to this headline">¶</a></h4>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.networks.</code><code class="descname">bidirectional_gru</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
+<dd><p>A bidirectional_gru is a recurrent unit that iterates over the input
+sequence both in forward and backward orders, and then concatenate two
+outputs to form a final output. However, concatenation of two outputs
+is not the only way to form the final output, you can also, for example,
+just add them together.</p>
+<p>The example usage is:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">bi_gru</span> <span class="o">=</span> <span class="n">bidirectional_gru</span><span class="p">(</span><span class="nb">input</span><span class="o">=</span><span class="p">[</span><span class="n">input1</span><span class="p">],</span> <span class="n">size</span><span class="o">=</span><span class="mi">512</span><span class="p">)</span>
+</pre></div>
+</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 simple">
+<li><strong>name</strong> (<em>basestring</em>) &#8211; bidirectional gru layer name.</li>
+<li><strong>input</strong> (<em>LayerOutput</em>) &#8211; input layer.</li>
+<li><strong>size</strong> (<em>int</em>) &#8211; gru layer size.</li>
+<li><strong>return_seq</strong> (<em>bool</em>) &#8211; If set False, the last time step of output are
+concatenated and returned.
+If set True, the entire output sequences in forward
+and backward directions are concatenated and returned.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">LayerOutput object.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">LayerOutput</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+</div>
+<div class="section" id="simple-attention">
+<h3>simple_attention<a class="headerlink" href="#simple-attention" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.networks.</code><code class="descname">simple_attention</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
+<dd><p>Calculate and return a context vector with attention mechanism.
+Size of the context vector equals to size of the encoded_sequence.</p>
+<div class="math">
+\[ \begin{align}\begin{aligned}a(s_{i-1},h_{j}) &amp; = v_{a}f(W_{a}s_{t-1} + U_{a}h_{j})\\e_{i,j} &amp; = a(s_{i-1}, h_{j})\\a_{i,j} &amp; = \frac{exp(e_{i,j})}{\sum_{k=1}^{T_x}{exp(e_{i,k})}}\\c_{i} &amp; = \sum_{j=1}^{T_{x}}a_{i,j}h_{j}\end{aligned}\end{align} \]</div>
+<p>where <span class="math">\(h_{j}\)</span> is the jth element of encoded_sequence,
+<span class="math">\(U_{a}h_{j}\)</span> is the jth element of encoded_proj
+<span class="math">\(s_{i-1}\)</span> is decoder_state
+<span class="math">\(f\)</span> is weight_act, and is set to tanh by default.</p>
+<p>Please refer to <strong>Neural Machine Translation by Jointly Learning to
+Align and Translate</strong> for more details. The link is as follows:
+<a class="reference external" href="https://arxiv.org/abs/1409.0473">https://arxiv.org/abs/1409.0473</a>.</p>
+<p>The example usage is:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">context</span> <span class="o">=</span> <span class="n">simple_attention</span><span class="p">(</span><span class="n">encoded_sequence</span><span class="o">=</span><span class="n">enc_seq</span><span class="p">,</span>
+                           <span class="n">encoded_proj</span><span class="o">=</span><span class="n">enc_proj</span><span class="p">,</span>
+                           <span class="n">decoder_state</span><span class="o">=</span><span class="n">decoder_prev</span><span class="p">,)</span>
+</pre></div>
+</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 simple">
+<li><strong>name</strong> (<em>basestring</em>) &#8211; name of the attention model.</li>
+<li><strong>softmax_param_attr</strong> (<em>ParameterAttribute</em>) &#8211; parameter attribute of sequence softmax
+that is used to produce attention weight.</li>
+<li><strong>weight_act</strong> (<em>BaseActivation</em>) &#8211; activation of the attention model.</li>
+<li><strong>encoded_sequence</strong> (<em>LayerOutput</em>) &#8211; output of the encoder</li>
+<li><strong>encoded_proj</strong> (<em>LayerOutput</em>) &#8211; attention weight is computed by a feed forward neural
+network which has two inputs : decoder&#8217;s hidden state
+of previous time step and encoder&#8217;s output.
+encoded_proj is output of the feed-forward network for
+encoder&#8217;s output. Here we pre-compute it outside
+simple_attention for speed consideration.</li>
+<li><strong>decoder_state</strong> (<em>LayerOutput</em>) &#8211; hidden state of decoder in previous time step</li>
+<li><strong>transform_param_attr</strong> (<em>ParameterAttribute</em>) &#8211; parameter attribute of the feed-forward
+network that takes decoder_state as inputs to
+compute attention weight.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">a context vector</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">LayerOutput</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="dot-product-attention">
+<h3>dot_product_attention<a class="headerlink" href="#dot-product-attention" title="Permalink to this headline">¶</a></h3>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.networks.</code><code class="descname">dot_product_attention</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
+<dd><p>Calculate and return a context vector with dot-product attention mechanism.
+The dimension of the context vector equals to that of the attended_sequence.</p>
+<div class="math">
+\[ \begin{align}\begin{aligned}a(s_{i-1},h_{j}) &amp; = s_{i-1}^\mathrm{T} h_{j}\\e_{i,j} &amp; = a(s_{i-1}, h_{j})\\a_{i,j} &amp; = \frac{exp(e_{i,j})}{\sum_{k=1}^{T_x}{exp(e_{i,k})}}\\c_{i} &amp; = \sum_{j=1}^{T_{x}}a_{i,j}z_{j}\end{aligned}\end{align} \]</div>
+<p>where <span class="math">\(h_{j}\)</span> is the jth element of encoded_sequence,
+<span class="math">\(z_{j}\)</span> is the jth element of attended_sequence,
+<span class="math">\(s_{i-1}\)</span> is transformed_state.</p>
+<p>The example usage is:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">context</span> <span class="o">=</span> <span class="n">dot_product_attention</span><span class="p">(</span><span class="n">encoded_sequence</span><span class="o">=</span><span class="n">enc_seq</span><span class="p">,</span>
+                                <span class="n">attended_sequence</span><span class="o">=</span><span class="n">att_seq</span><span class="p">,</span>
+                                <span class="n">transformed_state</span><span class="o">=</span><span class="n">state</span><span class="p">,)</span>
+</pre></div>
+</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 simple">
+<li><strong>name</strong> (<em>basestring</em>) &#8211; A prefix attached to the name of each layer that defined inside
+the dot_product_attention.</li>
+<li><strong>softmax_param_attr</strong> (<em>ParameterAttribute</em>) &#8211; The parameter attribute of sequence softmax
+that is used to produce attention weight.</li>
+<li><strong>encoded_sequence</strong> (<em>LayerOutput</em>) &#8211; The output hidden vectors of the encoder.</li>
+<li><strong>attended_sequence</strong> (<em>LayerOutput</em>) &#8211; The attention weight is computed by a feed forward neural
+network which has two inputs : decoder&#8217;s transformed hidden
+state of previous time step and encoder&#8217;s output.
+attended_sequence is the sequence to be attended.</li>
+<li><strong>transformed_state</strong> (<em>LayerOutput</em>) &#8211; The transformed hidden state of decoder in previous time step.
+Since the dot-product operation will be performed on it and the
+encoded_sequence, their dimensions must be equal. For flexibility,
+we suppose transformations of the decoder&#8217;s hidden state have been
+done outside dot_product_attention and no more will be performed
+inside. Then users can use either the original or transformed one.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">The context vector.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">LayerOutput</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
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+    <li>Optimizer</li>
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+           <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>
+<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> 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>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
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+        <li><a href="../model_configs.html">Model Configuration</a> > </li>
+      
+    <li>Pooling</li>
+  </ul>
+</div>
+      
+      <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="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>
+</dd></dl>
+
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+          <ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../model_configs.html">Model Configuration</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="../config/activation.html">Activation</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../config/layer.html">Layers</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../config/attr.html">Parameter Attribute</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current"><a class="reference internal" href="../data.html">Data Reader Interface and DataSets</a><ul class="current">
+<li class="toctree-l2 current"><a class="current reference internal" href="#">Data Reader Interface</a></li>
+<li class="toctree-l2"><a class="reference internal" href="image.html">Image Interface</a></li>
+<li class="toctree-l2"><a class="reference internal" href="dataset.html">Dataset</a></li>
+</ul>
+</li>
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+  <ul class="wy-breadcrumbs">
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+        <li><a href="../data.html">Data Reader Interface and DataSets</a> > </li>
+      
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+      
+      <div class="wy-nav-content" id="doc-content">
+        <div class="rst-content">
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+           <div itemprop="articleBody">
+            
+  <div class="section" id="data-reader-interface">
+<h1>Data Reader Interface<a class="headerlink" href="#data-reader-interface" title="Permalink to this headline">¶</a></h1>
+<div class="section" id="datatypes">
+<h2>DataTypes<a class="headerlink" href="#datatypes" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.data_type.</code><code class="descname">dense_array</code><span class="sig-paren">(</span><em>dim</em>, <em>seq_type=0</em><span class="sig-paren">)</span></dt>
+<dd><p>Dense Array. It means the input feature is dense array with float type.
+For example, if the input is an image with 28*28 pixels, the input of
+Paddle neural network could be a dense vector with dimension 784 or a
+numpy array with shape (28, 28).</p>
+<p>For the 2-D convolution operation, each sample in one mini-batch must have
+the similarly size in PaddlePaddle now. But, it supports variable-dimension
+feature across mini-batch. For the variable-dimension, the param dim is not
+used. While the data reader must yield numpy array and the data feeder will
+set the data shape correctly.</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 simple">
+<li><strong>dim</strong> (<em>int</em>) &#8211; dimension of this vector.</li>
+<li><strong>seq_type</strong> (<em>int</em>) &#8211; sequence type of input.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">An input type object.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">InputType</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.data_type.</code><code class="descname">dense_vector</code><span class="sig-paren">(</span><em>dim</em>, <em>seq_type=0</em><span class="sig-paren">)</span></dt>
+<dd><p>Dense Array. It means the input feature is dense array with float type.
+For example, if the input is an image with 28*28 pixels, the input of
+Paddle neural network could be a dense vector with dimension 784 or a
+numpy array with shape (28, 28).</p>
+<p>For the 2-D convolution operation, each sample in one mini-batch must have
+the similarly size in PaddlePaddle now. But, it supports variable-dimension
+feature across mini-batch. For the variable-dimension, the param dim is not
+used. While the data reader must yield numpy array and the data feeder will
+set the data shape correctly.</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 simple">
+<li><strong>dim</strong> (<em>int</em>) &#8211; dimension of this vector.</li>
+<li><strong>seq_type</strong> (<em>int</em>) &#8211; sequence type of input.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">An input type object.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">InputType</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.data_type.</code><code class="descname">dense_vector_sequence</code><span class="sig-paren">(</span><em>dim</em><span class="sig-paren">)</span></dt>
+<dd><p>Data type of a sequence of dense vector.</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>dim</strong> (<em>int</em>) &#8211; dimension of dense vector.</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">An input type object</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body">InputType</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.data_type.</code><code class="descname">integer_value</code><span class="sig-paren">(</span><em>value_range</em>, <em>seq_type=0</em><span class="sig-paren">)</span></dt>
+<dd><p>Data type of integer.</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 simple">
+<li><strong>seq_type</strong> (<em>int</em>) &#8211; sequence type of this input.</li>
+<li><strong>value_range</strong> (<em>int</em>) &#8211; range of this integer.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">An input type object</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">InputType</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.data_type.</code><code class="descname">integer_value_sequence</code><span class="sig-paren">(</span><em>value_range</em><span class="sig-paren">)</span></dt>
+<dd><p>Data type of a sequence of integer.</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>value_range</strong> (<em>int</em>) &#8211; range of each element.</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_binary_vector</code><span class="sig-paren">(</span><em>dim</em>, <em>seq_type=0</em><span class="sig-paren">)</span></dt>
+<dd><p>Sparse binary vector. It means the input feature is a sparse vector and the
+every element in this vector is either zero or one.</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 simple">
+<li><strong>dim</strong> (<em>int</em>) &#8211; dimension of this vector.</li>
+<li><strong>seq_type</strong> (<em>int</em>) &#8211; sequence type of this input.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">An input type object.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">InputType</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_binary_vector_sequence</code><span class="sig-paren">(</span><em>dim</em><span class="sig-paren">)</span></dt>
+<dd><dl class="docutils">
+<dt>Data type of a sequence of sparse vector, which every element is either zero</dt>
+<dd>or one.</dd>
+</dl>
+<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>dim</strong> (<em>int</em>) &#8211; dimension of sparse vector.</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">An input type object</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body">InputType</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_float_vector</code><span class="sig-paren">(</span><em>dim</em>, <em>seq_type=0</em><span class="sig-paren">)</span></dt>
+<dd><p>Sparse vector. It means the input feature is a sparse vector. Most of the
+elements in this vector are zero, others could be any float value.</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 simple">
+<li><strong>dim</strong> (<em>int</em>) &#8211; dimension of this vector.</li>
+<li><strong>seq_type</strong> (<em>int</em>) &#8211; sequence type of this input.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">An input type object.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">InputType</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_float_vector_sequence</code><span class="sig-paren">(</span><em>dim</em><span class="sig-paren">)</span></dt>
+<dd><p>Data type of a sequence of sparse vector, which most elements are zero,
+others could be any float value.</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>dim</strong> (<em>int</em>) &#8211; dimension of sparse vector.</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">An input type object</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body">InputType</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_non_value_slot</code><span class="sig-paren">(</span><em>dim</em>, <em>seq_type=0</em><span class="sig-paren">)</span></dt>
+<dd><p>Sparse binary vector. It means the input feature is a sparse vector and the
+every element in this vector is either zero or one.</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 simple">
+<li><strong>dim</strong> (<em>int</em>) &#8211; dimension of this vector.</li>
+<li><strong>seq_type</strong> (<em>int</em>) &#8211; sequence type of this input.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">An input type object.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">InputType</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_value_slot</code><span class="sig-paren">(</span><em>dim</em>, <em>seq_type=0</em><span class="sig-paren">)</span></dt>
+<dd><p>Sparse vector. It means the input feature is a sparse vector. Most of the
+elements in this vector are zero, others could be any float value.</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 simple">
+<li><strong>dim</strong> (<em>int</em>) &#8211; dimension of this vector.</li>
+<li><strong>seq_type</strong> (<em>int</em>) &#8211; sequence type of this input.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">An input type object.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">InputType</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="class">
+<dt>
+<em class="property">class </em><code class="descclassname">paddle.v2.data_type.</code><code class="descname">InputType</code><span class="sig-paren">(</span><em>dim</em>, <em>seq_type</em>, <em>tp</em><span class="sig-paren">)</span></dt>
+<dd><p>InputType is the base class for paddle input types.</p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p class="last">this is a base class, and should never be used by user.</p>
+</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>dim</strong> (<em>int</em>) &#8211; dimension of input. If the input is an integer, it means the
+value range. Otherwise, it means the size of layer.</li>
+<li><strong>seq_type</strong> (<em>int</em>) &#8211; sequence type of input. 0 means it is not a sequence. 1
+means it is a variable length sequence. 2 means it is a
+nested sequence.</li>
+<li><strong>type</strong> (<em>int</em>) &#8211; data type of input.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="datafeeder">
+<h2>DataFeeder<a class="headerlink" href="#datafeeder" title="Permalink to this headline">¶</a></h2>
+</div>
+<div class="section" id="reader">
+<h2>Reader<a class="headerlink" href="#reader" title="Permalink to this headline">¶</a></h2>
+<p>At training and testing time, PaddlePaddle programs need to read data. To ease
+the users&#8217; work to write data reading code, we define that</p>
+<ul class="simple">
+<li>A <em>reader</em> is a function that reads data (from file, network, random number
+generator, etc) and yields data items.</li>
+<li>A <em>reader creator</em> is a function that returns a reader function.</li>
+<li>A <em>reader decorator</em> is a function, which accepts one or more readers, and
+returns a reader.</li>
+<li>A <em>batch reader</em> is a function that reads data (from <em>reader</em>, file, network,
+random number generator, etc) and yields a batch of data items.</li>
+</ul>
+<div class="section" id="id1">
+<h3>Data Reader Interface<a class="headerlink" href="#id1" title="Permalink to this headline">¶</a></h3>
+<p>Indeed, <em>data reader</em> doesn&#8217;t have to be a function that reads and yields data
+items. It can be any function with no parameter that creates a iterable
+(anything can be used in <code class="code docutils literal"><span class="pre">for</span> <span class="pre">x</span> <span class="pre">in</span> <span class="pre">iterable</span></code>):</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">iterable</span> <span class="o">=</span> <span class="n">data_reader</span><span class="p">()</span>
+</pre></div>
+</div>
+<p>Element produced from the iterable should be a <strong>single</strong> entry of data,
+<strong>not</strong> a mini batch. That entry of data could be a single item, or a tuple of
+items.
+Item should be of <a class="reference external" href="http://www.paddlepaddle.org/doc/ui/data_provider/pydataprovider2.html?highlight=dense_vector#input-types">supported type</a> (e.g., numpy 1d
+array of float32, int, list of int)</p>
+<p>An example implementation for single item data reader creator:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">reader_creator_random_image</span><span class="p">(</span><span class="n">width</span><span class="p">,</span> <span class="n">height</span><span class="p">):</span>
+    <span class="k">def</span> <span class="nf">reader</span><span class="p">():</span>
+        <span class="k">while</span> <span class="bp">True</span><span class="p">:</span>
+            <span class="k">yield</span> <span class="n">numpy</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="n">width</span><span class="o">*</span><span class="n">height</span><span class="p">)</span>
+<span class="k">return</span> <span class="n">reader</span>
+</pre></div>
+</div>
+<p>An example implementation for multiple item data reader creator:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">reader_creator_random_image_and_label</span><span class="p">(</span><span class="n">width</span><span class="p">,</span> <span class="n">height</span><span class="p">,</span> <span class="n">label</span><span class="p">):</span>
+    <span class="k">def</span> <span class="nf">reader</span><span class="p">():</span>
+        <span class="k">while</span> <span class="bp">True</span><span class="p">:</span>
+            <span class="k">yield</span> <span class="n">numpy</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="n">width</span><span class="o">*</span><span class="n">height</span><span class="p">),</span> <span class="n">label</span>
+<span class="k">return</span> <span class="n">reader</span>
+</pre></div>
+</div>
+<p>TODO(yuyang18): Should we add whole design doc here?</p>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.reader.</code><code class="descname">map_readers</code><span class="sig-paren">(</span><em>func</em>, <em>*readers</em><span class="sig-paren">)</span></dt>
+<dd><p>Creates a data reader that outputs return value of function using
+output of each data readers as arguments.</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 simple">
+<li><strong>func</strong> &#8211; function to use. The type of func should be (Sample) =&gt; Sample</li>
+<li><strong>readers</strong> &#8211; readers whose outputs will be used as arguments of func.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Type:</th><td class="field-body"><p class="first">callable</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">the created data reader.</p>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">callable</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.reader.</code><code class="descname">buffered</code><span class="sig-paren">(</span><em>reader</em>, <em>size</em><span class="sig-paren">)</span></dt>
+<dd><p>Creates a buffered data reader.</p>
+<p>The buffered data reader will read and save data entries into a
+buffer. Reading from the buffered data reader will proceed as long
+as the buffer is not empty.</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 simple">
+<li><strong>reader</strong> (<em>callable</em>) &#8211; the data reader to read from.</li>
+<li><strong>size</strong> (<em>int</em>) &#8211; max buffer size.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">the buffered data reader.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.reader.</code><code class="descname">compose</code><span class="sig-paren">(</span><em>*readers</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
+<dd><p>Creates a data reader whose output is the combination of input readers.</p>
+<p>If input readers output following data entries:
+(1, 2)    3    (4, 5)
+The composed reader will output:
+(1, 2, 3, 4, 5)</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 simple">
+<li><strong>readers</strong> &#8211; readers that will be composed together.</li>
+<li><strong>check_alignment</strong> (<em>bool</em>) &#8211; if True, will check if input readers are aligned
+correctly. If False, will not check alignment and trailing outputs
+will be discarded. Defaults to True.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">the new data reader.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Raises:</th><td class="field-body"><p class="first last"><strong>ComposeNotAligned</strong> &#8211; outputs of readers are not aligned.
+Will not raise when check_alignment is set to False.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.reader.</code><code class="descname">chain</code><span class="sig-paren">(</span><em>*readers</em><span class="sig-paren">)</span></dt>
+<dd><p>Creates a data reader whose output is the outputs of input data
+readers chained together.</p>
+<p>If input readers output following data entries:
+[0, 0, 0]
+[1, 1, 1]
+[2, 2, 2]
+The chained reader will output:
+[0, 0, 0, 1, 1, 1, 2, 2, 2]</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>readers</strong> &#8211; input readers.</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">the new data reader.</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body">callable</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.reader.</code><code class="descname">shuffle</code><span class="sig-paren">(</span><em>reader</em>, <em>buf_size</em><span class="sig-paren">)</span></dt>
+<dd><p>Creates a data reader whose data output is shuffled.</p>
+<p>Output from the iterator that created by original reader will be
+buffered into shuffle buffer, and then shuffled. The size of shuffle buffer
+is determined by argument buf_size.</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 simple">
+<li><strong>reader</strong> (<em>callable</em>) &#8211; the original reader whose output will be shuffled.</li>
+<li><strong>buf_size</strong> (<em>int</em>) &#8211; shuffle buffer size.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">the new reader whose output is shuffled.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">callable</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.reader.</code><code class="descname">firstn</code><span class="sig-paren">(</span><em>reader</em>, <em>n</em><span class="sig-paren">)</span></dt>
+<dd><p>Limit the max number of samples that reader could return.</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 simple">
+<li><strong>reader</strong> (<em>callable</em>) &#8211; the data reader to read from.</li>
+<li><strong>n</strong> (<em>int</em>) &#8211; the max number of samples that return.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">the decorated reader.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">callable</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.reader.</code><code class="descname">xmap_readers</code><span class="sig-paren">(</span><em>mapper</em>, <em>reader</em>, <em>process_num</em>, <em>buffer_size</em>, <em>order=False</em><span class="sig-paren">)</span></dt>
+<dd><p>Use multiprocess to map samples from reader by a mapper defined by user.
+And this function contains a buffered decorator.
+:param mapper:  a function to map sample.
+:type mapper: callable
+:param reader: the data reader to read from
+:type reader: callable
+:param process_num: process number to handle original sample
+:type process_num: int
+:param buffer_size: max buffer size
+:type buffer_size: int
+:param order: keep the order of reader
+:type order: bool
+:return: the decarated reader
+:rtype: callable</p>
+</dd></dl>
+
+<dl class="class">
+<dt>
+<em class="property">class </em><code class="descclassname">paddle.v2.reader.</code><code class="descname">PipeReader</code><span class="sig-paren">(</span><em>command</em>, <em>bufsize=8192</em>, <em>file_type='plain'</em><span class="sig-paren">)</span></dt>
+<dd><p>PipeReader read data by stream from a command, take it&#8217;s
+stdout into a pipe buffer and redirect it to the parser to
+parse, then yield data as your desired format.</p>
+<p>You can using standard linux command or call another program
+to read data, from HDFS, Ceph, URL, AWS S3 etc:</p>
+<p>An example:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">example_reader</span><span class="p">():</span>
+    <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">myfiles</span><span class="p">:</span>
+        <span class="n">pr</span> <span class="o">=</span> <span class="n">PipeReader</span><span class="p">(</span><span class="s2">&quot;cat </span><span class="si">%s</span><span class="s2">&quot;</span><span class="o">%</span><span class="n">f</span><span class="p">)</span>
+        <span class="k">for</span> <span class="n">l</span> <span class="ow">in</span> <span class="n">pr</span><span class="o">.</span><span class="n">get_line</span><span class="p">():</span>
+            <span class="n">sample</span> <span class="o">=</span> <span class="n">l</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot; &quot;</span><span class="p">)</span>
+            <span class="k">yield</span> <span class="n">sample</span>
+</pre></div>
+</div>
+<dl class="method">
+<dt>
+<code class="descname">get_line</code><span class="sig-paren">(</span><em>cut_lines=True</em>, <em>line_break='\n'</em><span class="sig-paren">)</span></dt>
+<dd><blockquote>
+<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" colspan="2">param cut_lines:</th></tr>
+<tr class="field-odd field"><td>&#160;</td><td class="field-body">cut buffer to lines</td>
+</tr>
+<tr class="field-even field"><th class="field-name">type cut_lines:</th><td class="field-body">bool</td>
+</tr>
+<tr class="field-odd field"><th class="field-name" colspan="2">param line_break:</th></tr>
+<tr class="field-odd field"><td>&#160;</td><td class="field-body">line break of the file, like</td>
+</tr>
+</tbody>
+</table>
+</div></blockquote>
+<dl class="docutils">
+<dt>or</dt>
+<dd><table class="first last 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" colspan="2">type line_break:</th></tr>
+<tr class="field-odd field"><td>&#160;</td><td class="field-body">string</td>
+</tr>
+<tr class="field-even field"><th class="field-name">return:</th><td class="field-body">one line or a buffer of bytes</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">rtype:</th><td class="field-body">string</td>
+</tr>
+</tbody>
+</table>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</div>
+<p>Creator package contains some simple reader creator, which could
+be used in user program.</p>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.reader.creator.</code><code class="descname">np_array</code><span class="sig-paren">(</span><em>x</em><span class="sig-paren">)</span></dt>
+<dd><p>Creates a reader that yields elements of x, if it is a
+numpy vector. Or rows of x, if it is a numpy matrix.
+Or any sub-hyperplane indexed by the highest dimension.</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>x</strong> &#8211; the numpy array to create reader from.</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">data reader created from x.</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.reader.creator.</code><code class="descname">text_file</code><span class="sig-paren">(</span><em>path</em><span class="sig-paren">)</span></dt>
+<dd><p>Creates a data reader that outputs text line by line from given text file.
+Trailing new line (&#8216;\n&#8217;) of each line will be removed.</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">Path:</th><td class="field-body">path of the text file.</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">data reader of text file</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.reader.creator.</code><code class="descname">cloud_reader</code><span class="sig-paren">(</span><em>paths</em>, <em>etcd_endpoints</em>, <em>timeout_sec=5</em>, <em>buf_size=64</em><span class="sig-paren">)</span></dt>
+<dd><dl class="docutils">
+<dt>Create a data reader that yield a record one by one from</dt>
+<dd>the paths:</dd>
+</dl>
+<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">Paths:</th><td class="field-body">path of recordio files, can be a string or a string list.</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Etcd_endpoints:</th><td class="field-body">the endpoints for etcd cluster</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">data reader of recordio files.</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="minibatch">
+<h2>minibatch<a class="headerlink" href="#minibatch" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.minibatch.</code><code class="descname">batch</code><span class="sig-paren">(</span><em>reader</em>, <em>batch_size</em><span class="sig-paren">)</span></dt>
+<dd><p>Create a batched reader.</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 simple">
+<li><strong>reader</strong> (<em>callable</em>) &#8211; the data reader to read from.</li>
+<li><strong>batch_size</strong> (<em>int</em>) &#8211; size of each mini-batch</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">the batched reader.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">callable</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+</div>
+
+
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+<li class="toctree-l2"><a class="reference internal" href="../fluid/nets.html">nets</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../fluid/regularizer.html">regularizer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../fluid/io.html">io</a></li>
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+
+        
+    </nav>
+    
+    <section class="doc-content-wrap">
+
+      
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+ 
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+
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+
+
+<div role="navigation" aria-label="breadcrumbs navigation">
+  <ul class="wy-breadcrumbs">
+      
+        <li><a href="../data.html">Data Reader Interface and DataSets</a> > </li>
+      
+    <li>Dataset</li>
+  </ul>
+</div>
+      
+      <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="dataset">
+<h1>Dataset<a class="headerlink" href="#dataset" title="Permalink to this headline">¶</a></h1>
+<p>Dataset package.</p>
+<div class="section" id="mnist">
+<h2>mnist<a class="headerlink" href="#mnist" title="Permalink to this headline">¶</a></h2>
+<p>MNIST dataset.</p>
+<p>This module will download dataset from <a class="reference external" href="http://yann.lecun.com/exdb/mnist/">http://yann.lecun.com/exdb/mnist/</a> and
+parse training set and test set into paddle reader creators.</p>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.mnist.</code><code class="descname">train</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>MNIST training set creator.</p>
+<p>It returns a reader creator, each sample in the reader is image pixels in
+[0, 1] and label in [0, 9].</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">Returns:</th><td class="field-body">Training reader creator</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Return type:</th><td class="field-body">callable</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.mnist.</code><code class="descname">test</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>MNIST test set creator.</p>
+<p>It returns a reader creator, each sample in the reader is image pixels in
+[0, 1] and label in [0, 9].</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">Returns:</th><td class="field-body">Test reader creator.</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Return type:</th><td class="field-body">callable</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.mnist.</code><code class="descname">convert</code><span class="sig-paren">(</span><em>path</em><span class="sig-paren">)</span></dt>
+<dd><p>Converts dataset to recordio format</p>
+</dd></dl>
+
+</div>
+<div class="section" id="cifar">
+<h2>cifar<a class="headerlink" href="#cifar" title="Permalink to this headline">¶</a></h2>
+<p>CIFAR dataset.</p>
+<p>This module will download dataset from
+<a class="reference external" href="https://www.cs.toronto.edu/~kriz/cifar.html">https://www.cs.toronto.edu/~kriz/cifar.html</a> and parse train/test set into
+paddle reader creators.</p>
+<p>The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes,
+with 6000 images per class. There are 50000 training images and 10000 test
+images.</p>
+<p>The CIFAR-100 dataset is just like the CIFAR-10, except it has 100 classes
+containing 600 images each. There are 500 training images and 100 testing
+images per class.</p>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.cifar.</code><code class="descname">train100</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>CIFAR-100 training set creator.</p>
+<p>It returns a reader creator, each sample in the reader is image pixels in
+[0, 1] and label in [0, 99].</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">Returns:</th><td class="field-body">Training reader creator</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Return type:</th><td class="field-body">callable</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.cifar.</code><code class="descname">test100</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>CIFAR-100 test set creator.</p>
+<p>It returns a reader creator, each sample in the reader is image pixels in
+[0, 1] and label in [0, 9].</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">Returns:</th><td class="field-body">Test reader creator.</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Return type:</th><td class="field-body">callable</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.cifar.</code><code class="descname">train10</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>CIFAR-10 training set creator.</p>
+<p>It returns a reader creator, each sample in the reader is image pixels in
+[0, 1] and label in [0, 9].</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">Returns:</th><td class="field-body">Training reader creator</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Return type:</th><td class="field-body">callable</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.cifar.</code><code class="descname">test10</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>CIFAR-10 test set creator.</p>
+<p>It returns a reader creator, each sample in the reader is image pixels in
+[0, 1] and label in [0, 9].</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">Returns:</th><td class="field-body">Test reader creator.</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Return type:</th><td class="field-body">callable</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.cifar.</code><code class="descname">convert</code><span class="sig-paren">(</span><em>path</em><span class="sig-paren">)</span></dt>
+<dd><p>Converts dataset to recordio format</p>
+</dd></dl>
+
+</div>
+<div class="section" id="conll05">
+<h2>conll05<a class="headerlink" href="#conll05" title="Permalink to this headline">¶</a></h2>
+<p>Conll05 dataset.
+Paddle semantic role labeling Book and demo use this dataset as an example.
+Because Conll05 is not free in public, the default downloaded URL is test set
+of Conll05 (which is public). Users can change URL and MD5 to their Conll
+dataset. And a pre-trained word vector model based on Wikipedia corpus is used
+to initialize SRL model.</p>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.conll05.</code><code class="descname">get_dict</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>Get the word, verb and label dictionary of Wikipedia corpus.</p>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.conll05.</code><code class="descname">get_embedding</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>Get the trained word vector based on Wikipedia corpus.</p>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.conll05.</code><code class="descname">test</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>Conll05 test set creator.</p>
+<p>Because the training dataset is not free, the test dataset is used for
+training. It returns a reader creator, each sample in the reader is nine
+features, including sentence sequence, predicate, predicate context,
+predicate context flag and tagged sequence.</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">Returns:</th><td class="field-body">Training reader creator</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Return type:</th><td class="field-body">callable</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="imdb">
+<h2>imdb<a class="headerlink" href="#imdb" title="Permalink to this headline">¶</a></h2>
+<p>IMDB dataset.</p>
+<p>This module downloads IMDB dataset from
+<a class="reference external" href="http://ai.stanford.edu/%7Eamaas/data/sentiment/">http://ai.stanford.edu/%7Eamaas/data/sentiment/</a>. This dataset contains a set
+of 25,000 highly polar movie reviews for training, and 25,000 for testing.
+Besides, this module also provides API for building dictionary.</p>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.imdb.</code><code class="descname">build_dict</code><span class="sig-paren">(</span><em>pattern</em>, <em>cutoff</em><span class="sig-paren">)</span></dt>
+<dd><p>Build a word dictionary from the corpus. Keys of the dictionary are words,
+and values are zero-based IDs of these words.</p>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.imdb.</code><code class="descname">train</code><span class="sig-paren">(</span><em>word_idx</em><span class="sig-paren">)</span></dt>
+<dd><p>IMDB training set creator.</p>
+<p>It returns a reader creator, each sample in the reader is an zero-based ID
+sequence and label in [0, 1].</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>word_idx</strong> (<em>dict</em>) &#8211; word dictionary</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">Training reader creator</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body">callable</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.imdb.</code><code class="descname">test</code><span class="sig-paren">(</span><em>word_idx</em><span class="sig-paren">)</span></dt>
+<dd><p>IMDB test set creator.</p>
+<p>It returns a reader creator, each sample in the reader is an zero-based ID
+sequence and label in [0, 1].</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>word_idx</strong> (<em>dict</em>) &#8211; word dictionary</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">Test reader creator</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body">callable</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.imdb.</code><code class="descname">convert</code><span class="sig-paren">(</span><em>path</em><span class="sig-paren">)</span></dt>
+<dd><p>Converts dataset to recordio format</p>
+</dd></dl>
+
+</div>
+<div class="section" id="imikolov">
+<h2>imikolov<a class="headerlink" href="#imikolov" title="Permalink to this headline">¶</a></h2>
+<p>imikolov&#8217;s simple dataset.</p>
+<p>This module will download dataset from
+<a class="reference external" href="http://www.fit.vutbr.cz/~imikolov/rnnlm/">http://www.fit.vutbr.cz/~imikolov/rnnlm/</a> and parse training set and test set
+into paddle reader creators.</p>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.imikolov.</code><code class="descname">build_dict</code><span class="sig-paren">(</span><em>min_word_freq=50</em><span class="sig-paren">)</span></dt>
+<dd><p>Build a word dictionary from the corpus,  Keys of the dictionary are words,
+and values are zero-based IDs of these words.</p>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.imikolov.</code><code class="descname">train</code><span class="sig-paren">(</span><em>word_idx</em>, <em>n</em>, <em>data_type=1</em><span class="sig-paren">)</span></dt>
+<dd><p>imikolov training set creator.</p>
+<p>It returns a reader creator, each sample in the reader is a word ID
+tuple.</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 simple">
+<li><strong>word_idx</strong> (<em>dict</em>) &#8211; word dictionary</li>
+<li><strong>n</strong> (<em>int</em>) &#8211; sliding window size if type is ngram, otherwise max length of sequence</li>
+<li><strong>data_type</strong> (<em>member variable of DataType</em><em> (</em><em>NGRAM</em><em> or </em><em>SEQ</em><em>)</em>) &#8211; data type (ngram or sequence)</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">Training reader creator</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">callable</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.imikolov.</code><code class="descname">test</code><span class="sig-paren">(</span><em>word_idx</em>, <em>n</em>, <em>data_type=1</em><span class="sig-paren">)</span></dt>
+<dd><p>imikolov test set creator.</p>
+<p>It returns a reader creator, each sample in the reader is a word ID
+tuple.</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 simple">
+<li><strong>word_idx</strong> (<em>dict</em>) &#8211; word dictionary</li>
+<li><strong>n</strong> (<em>int</em>) &#8211; sliding window size if type is ngram, otherwise max length of sequence</li>
+<li><strong>data_type</strong> (<em>member variable of DataType</em><em> (</em><em>NGRAM</em><em> or </em><em>SEQ</em><em>)</em>) &#8211; data type (ngram or sequence)</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">Test reader creator</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">callable</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.imikolov.</code><code class="descname">convert</code><span class="sig-paren">(</span><em>path</em><span class="sig-paren">)</span></dt>
+<dd><p>Converts dataset to recordio format</p>
+</dd></dl>
+
+</div>
+<div class="section" id="movielens">
+<h2>movielens<a class="headerlink" href="#movielens" title="Permalink to this headline">¶</a></h2>
+<p>Movielens 1-M dataset.</p>
+<p>Movielens 1-M dataset contains 1 million ratings from 6000 users on 4000
+movies, which was collected by GroupLens Research. This module will download
+Movielens 1-M dataset from
+<a class="reference external" href="http://files.grouplens.org/datasets/movielens/ml-1m.zip">http://files.grouplens.org/datasets/movielens/ml-1m.zip</a> and parse training
+set and test set into paddle reader creators.</p>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.movielens.</code><code class="descname">get_movie_title_dict</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>Get movie title dictionary.</p>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.movielens.</code><code class="descname">max_movie_id</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>Get the maximum value of movie id.</p>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.movielens.</code><code class="descname">max_user_id</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>Get the maximum value of user id.</p>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.movielens.</code><code class="descname">max_job_id</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>Get the maximum value of job id.</p>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.movielens.</code><code class="descname">movie_categories</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>Get movie categoriges dictionary.</p>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.movielens.</code><code class="descname">user_info</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>Get user info dictionary.</p>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.movielens.</code><code class="descname">movie_info</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>Get movie info dictionary.</p>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.movielens.</code><code class="descname">convert</code><span class="sig-paren">(</span><em>path</em><span class="sig-paren">)</span></dt>
+<dd><p>Converts dataset to recordio format</p>
+</dd></dl>
+
+<dl class="class">
+<dt>
+<em class="property">class </em><code class="descclassname">paddle.v2.dataset.movielens.</code><code class="descname">MovieInfo</code><span class="sig-paren">(</span><em>index</em>, <em>categories</em>, <em>title</em><span class="sig-paren">)</span></dt>
+<dd><p>Movie id, title and categories information are stored in MovieInfo.</p>
+</dd></dl>
+
+<dl class="class">
+<dt>
+<em class="property">class </em><code class="descclassname">paddle.v2.dataset.movielens.</code><code class="descname">UserInfo</code><span class="sig-paren">(</span><em>index</em>, <em>gender</em>, <em>age</em>, <em>job_id</em><span class="sig-paren">)</span></dt>
+<dd><p>User id, gender, age, and job information are stored in UserInfo.</p>
+</dd></dl>
+
+</div>
+<div class="section" id="sentiment">
+<h2>sentiment<a class="headerlink" href="#sentiment" title="Permalink to this headline">¶</a></h2>
+<p>The script fetch and preprocess movie_reviews data set that provided by NLTK</p>
+<p>TODO(yuyang18): Complete dataset.</p>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.sentiment.</code><code class="descname">get_word_dict</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>Sorted the words by the frequency of words which occur in sample
+:return:</p>
+<blockquote>
+<div>words_freq_sorted</div></blockquote>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.sentiment.</code><code class="descname">train</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>Default training set reader creator</p>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.sentiment.</code><code class="descname">test</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>Default test set reader creator</p>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.sentiment.</code><code class="descname">convert</code><span class="sig-paren">(</span><em>path</em><span class="sig-paren">)</span></dt>
+<dd><p>Converts dataset to recordio format</p>
+</dd></dl>
+
+</div>
+<div class="section" id="uci-housing">
+<h2>uci_housing<a class="headerlink" href="#uci-housing" title="Permalink to this headline">¶</a></h2>
+<p>UCI Housing dataset.</p>
+<p>This module will download dataset from
+<a class="reference external" href="https://archive.ics.uci.edu/ml/machine-learning-databases/housing/">https://archive.ics.uci.edu/ml/machine-learning-databases/housing/</a> and
+parse training set and test set into paddle reader creators.</p>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.uci_housing.</code><code class="descname">train</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>UCI_HOUSING training set creator.</p>
+<p>It returns a reader creator, each sample in the reader is features after
+normalization and price number.</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">Returns:</th><td class="field-body">Training reader creator</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Return type:</th><td class="field-body">callable</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.uci_housing.</code><code class="descname">test</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>UCI_HOUSING test set creator.</p>
+<p>It returns a reader creator, each sample in the reader is features after
+normalization and price number.</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">Returns:</th><td class="field-body">Test reader creator</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Return type:</th><td class="field-body">callable</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="wmt14">
+<h2>wmt14<a class="headerlink" href="#wmt14" title="Permalink to this headline">¶</a></h2>
+<p>WMT14 dataset.
+The original WMT14 dataset is too large and a small set of data for set is
+provided. This module will download dataset from
+<a class="reference external" href="http://paddlepaddle.cdn.bcebos.com/demo/wmt_shrinked_data/wmt14.tgz">http://paddlepaddle.cdn.bcebos.com/demo/wmt_shrinked_data/wmt14.tgz</a> and
+parse training set and test set into paddle reader creators.</p>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.wmt14.</code><code class="descname">train</code><span class="sig-paren">(</span><em>dict_size</em><span class="sig-paren">)</span></dt>
+<dd><p>WMT14 training set creator.</p>
+<p>It returns a reader creator, each sample in the reader is source language
+word ID sequence, target language word ID sequence and next word ID
+sequence.</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">Returns:</th><td class="field-body">Training reader creator</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Return type:</th><td class="field-body">callable</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.wmt14.</code><code class="descname">test</code><span class="sig-paren">(</span><em>dict_size</em><span class="sig-paren">)</span></dt>
+<dd><p>WMT14 test set creator.</p>
+<p>It returns a reader creator, each sample in the reader is source language
+word ID sequence, target language word ID sequence and next word ID
+sequence.</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">Returns:</th><td class="field-body">Test reader creator</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Return type:</th><td class="field-body">callable</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.wmt14.</code><code class="descname">convert</code><span class="sig-paren">(</span><em>path</em><span class="sig-paren">)</span></dt>
+<dd><p>Converts dataset to recordio format</p>
+</dd></dl>
+
+</div>
+<div class="section" id="wmt16">
+<h2>wmt16<a class="headerlink" href="#wmt16" title="Permalink to this headline">¶</a></h2>
+<p>ACL2016 Multimodal Machine Translation. Please see this website for more
+details: <a class="reference external" href="http://www.statmt.org/wmt16/multimodal-task.html#task1">http://www.statmt.org/wmt16/multimodal-task.html#task1</a></p>
+<p>If you use the dataset created for your task, please cite the following paper:
+Multi30K: Multilingual English-German Image Descriptions.</p>
+<dl class="docutils">
+<dt>&#64;article{elliott-EtAl:2016:VL16,</dt>
+<dd>author    = {{Elliott}, D. and {Frank}, S. and {Sima&#8221;an}, K. and {Specia}, L.},
+title     = {Multi30K: Multilingual English-German Image Descriptions},
+booktitle = {Proceedings of the 6th Workshop on Vision and Language},
+year      = {2016},
+pages     = {70&#8211;74},
+year      = 2016</dd>
+</dl>
+<p>}</p>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.wmt16.</code><code class="descname">train</code><span class="sig-paren">(</span><em>src_dict_size</em>, <em>trg_dict_size</em>, <em>src_lang='en'</em><span class="sig-paren">)</span></dt>
+<dd><p>WMT16 train set reader.</p>
+<p>This function returns the reader for train data. Each sample the reader
+returns is made up of three fields: the source language word index sequence,
+target language word index sequence and next word index sequence.</p>
+<p>NOTE:
+The original like for training data is:
+<a class="reference external" href="http://www.quest.dcs.shef.ac.uk/wmt16_files_mmt/training.tar.gz">http://www.quest.dcs.shef.ac.uk/wmt16_files_mmt/training.tar.gz</a></p>
+<p>paddle.dataset.wmt16 provides a tokenized version of the original dataset by
+using moses&#8217;s tokenization script:
+<a class="reference external" href="https://github.com/moses-smt/mosesdecoder/blob/master/scripts/tokenizer/tokenizer.perl">https://github.com/moses-smt/mosesdecoder/blob/master/scripts/tokenizer/tokenizer.perl</a></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 simple">
+<li><strong>src_dict_size</strong> (<em>int</em>) &#8211; Size of the source language dictionary. Three
+special tokens will be added into the dictionary:
+&lt;s&gt; for start mark, &lt;e&gt; for end mark, and &lt;unk&gt; for
+unknown word.</li>
+<li><strong>trg_dict_size</strong> (<em>int</em>) &#8211; Size of the target language dictionary. Three
+special tokens will be added into the dictionary:
+&lt;s&gt; for start mark, &lt;e&gt; for end mark, and &lt;unk&gt; for
+unknown word.</li>
+<li><strong>src_lang</strong> (<em>string</em>) &#8211; A string indicating which language is the source
+language. Available options are: &#8220;en&#8221; for English
+and &#8220;de&#8221; for Germany.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">The train reader.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">callable</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.wmt16.</code><code class="descname">test</code><span class="sig-paren">(</span><em>src_dict_size</em>, <em>trg_dict_size</em>, <em>src_lang='en'</em><span class="sig-paren">)</span></dt>
+<dd><p>WMT16 test set reader.</p>
+<p>This function returns the reader for test data. Each sample the reader
+returns is made up of three fields: the source language word index sequence,
+target language word index sequence and next word index sequence.</p>
+<p>NOTE:
+The original like for test data is:
+<a class="reference external" href="http://www.quest.dcs.shef.ac.uk/wmt16_files_mmt/mmt16_task1_test.tar.gz">http://www.quest.dcs.shef.ac.uk/wmt16_files_mmt/mmt16_task1_test.tar.gz</a></p>
+<p>paddle.dataset.wmt16 provides a tokenized version of the original dataset by
+using moses&#8217;s tokenization script:
+<a class="reference external" href="https://github.com/moses-smt/mosesdecoder/blob/master/scripts/tokenizer/tokenizer.perl">https://github.com/moses-smt/mosesdecoder/blob/master/scripts/tokenizer/tokenizer.perl</a></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 simple">
+<li><strong>src_dict_size</strong> (<em>int</em>) &#8211; Size of the source language dictionary. Three
+special tokens will be added into the dictionary:
+&lt;s&gt; for start mark, &lt;e&gt; for end mark, and &lt;unk&gt; for
+unknown word.</li>
+<li><strong>trg_dict_size</strong> (<em>int</em>) &#8211; Size of the target language dictionary. Three
+special tokens will be added into the dictionary:
+&lt;s&gt; for start mark, &lt;e&gt; for end mark, and &lt;unk&gt; for
+unknown word.</li>
+<li><strong>src_lang</strong> (<em>string</em>) &#8211; A string indicating which language is the source
+language. Available options are: &#8220;en&#8221; for English
+and &#8220;de&#8221; for Germany.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">The test reader.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">callable</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.wmt16.</code><code class="descname">validation</code><span class="sig-paren">(</span><em>src_dict_size</em>, <em>trg_dict_size</em>, <em>src_lang='en'</em><span class="sig-paren">)</span></dt>
+<dd><p>WMT16 validation set reader.</p>
+<p>This function returns the reader for validation data. Each sample the reader
+returns is made up of three fields: the source language word index sequence,
+target language word index sequence and next word index sequence.</p>
+<p>NOTE:
+The original like for validation data is:
+<a class="reference external" href="http://www.quest.dcs.shef.ac.uk/wmt16_files_mmt/validation.tar.gz">http://www.quest.dcs.shef.ac.uk/wmt16_files_mmt/validation.tar.gz</a></p>
+<p>paddle.dataset.wmt16 provides a tokenized version of the original dataset by
+using moses&#8217;s tokenization script:
+<a class="reference external" href="https://github.com/moses-smt/mosesdecoder/blob/master/scripts/tokenizer/tokenizer.perl">https://github.com/moses-smt/mosesdecoder/blob/master/scripts/tokenizer/tokenizer.perl</a></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 simple">
+<li><strong>src_dict_size</strong> (<em>int</em>) &#8211; Size of the source language dictionary. Three
+special tokens will be added into the dictionary:
+&lt;s&gt; for start mark, &lt;e&gt; for end mark, and &lt;unk&gt; for
+unknown word.</li>
+<li><strong>trg_dict_size</strong> (<em>int</em>) &#8211; Size of the target language dictionary. Three
+special tokens will be added into the dictionary:
+&lt;s&gt; for start mark, &lt;e&gt; for end mark, and &lt;unk&gt; for
+unknown word.</li>
+<li><strong>src_lang</strong> (<em>string</em>) &#8211; A string indicating which language is the source
+language. Available options are: &#8220;en&#8221; for English
+and &#8220;de&#8221; for Germany.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">The validation reader.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">callable</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.wmt16.</code><code class="descname">get_dict</code><span class="sig-paren">(</span><em>lang</em>, <em>dict_size</em>, <em>reverse=False</em><span class="sig-paren">)</span></dt>
+<dd><p>return the word dictionary for the specified language.</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 simple">
+<li><strong>lang</strong> (<em>string</em>) &#8211; A string indicating which language is the source
+language. Available options are: &#8220;en&#8221; for English
+and &#8220;de&#8221; for Germany.</li>
+<li><strong>dict_size</strong> (<em>int</em>) &#8211; Size of the specified language dictionary.</li>
+<li><strong>reverse</strong> (<em>bool</em>) &#8211; If reverse is set to False, the returned python
+dictionary will use word as key and use index as value.
+If reverse is set to True, the returned python
+dictionary will use index as key and word as value.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">The word dictionary for the specific language.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">dict</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.wmt16.</code><code class="descname">fetch</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>download the entire dataset.</p>
+</dd></dl>
+
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.dataset.wmt16.</code><code class="descname">convert</code><span class="sig-paren">(</span><em>path</em>, <em>src_dict_size</em>, <em>trg_dict_size</em>, <em>src_lang</em><span class="sig-paren">)</span></dt>
+<dd><p>Converts dataset to recordio format.</p>
+</dd></dl>
+
+</div>
+</div>
+
+
+           </div>
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+    <li>Image Interface</li>
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+      <div class="wy-nav-content" id="doc-content">
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+            
+  <div class="section" id="module-paddle.v2.image">
+<span id="image-interface"></span><h1>Image Interface<a class="headerlink" href="#module-paddle.v2.image" title="Permalink to this headline">¶</a></h1>
+<p>This file contains some common interfaces for image preprocess.
+Many users are confused about the image layout. We introduce
+the image layout as follows.</p>
+<ul>
+<li><p class="first">CHW Layout</p>
+<ul class="simple">
+<li>The abbreviations: C=channel, H=Height, W=Width</li>
+<li>The default layout of image opened by cv2 or PIL is HWC.
+PaddlePaddle only supports the CHW layout. And CHW is simply
+a transpose of HWC. It must transpose the input image.</li>
+</ul>
+</li>
+<li><p class="first">Color format: RGB or BGR</p>
+<p>OpenCV use BGR color format. PIL use RGB color format. Both
+formats can be used for training. Noted that, the format should
+be keep consistent between the training and inference peroid.</p>
+</li>
+</ul>
+<dl class="function">
+<dt id="paddle.v2.image.batch_images_from_tar">
+<code class="descclassname">paddle.v2.image.</code><code class="descname">batch_images_from_tar</code><span class="sig-paren">(</span><em>data_file</em>, <em>dataset_name</em>, <em>img2label</em>, <em>num_per_batch=1024</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.image.batch_images_from_tar" title="Permalink to this definition">¶</a></dt>
+<dd><p>Read images from tar file and batch them into batch file.</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 simple">
+<li><strong>data_file</strong> (<em>string</em>) &#8211; path of image tar file</li>
+<li><strong>dataset_name</strong> (<em>string</em>) &#8211; &#8216;train&#8217;,&#8217;test&#8217; or &#8216;valid&#8217;</li>
+<li><strong>img2label</strong> (<em>dic</em>) &#8211; a dic with image file name as key
+and image&#8217;s label as value</li>
+<li><strong>num_per_batch</strong> (<em>int</em>) &#8211; image number per batch file</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">path of list file containing paths of batch file</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">string</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt id="paddle.v2.image.load_image_bytes">
+<code class="descclassname">paddle.v2.image.</code><code class="descname">load_image_bytes</code><span class="sig-paren">(</span><em>bytes</em>, <em>is_color=True</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.image.load_image_bytes" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load an color or gray image from bytes array.</p>
+<p>Example usage:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;cat.jpg&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+    <span class="n">im</span> <span class="o">=</span> <span class="n">load_image_bytes</span><span class="p">(</span><span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">())</span>
+</pre></div>
+</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>bytes</strong> (<em>str</em>) &#8211; the input image bytes array.</li>
+<li><strong>is_color</strong> (<em>bool</em>) &#8211; If set is_color True, it will load and
+return a color image. Otherwise, it will
+load and return a gray image.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt id="paddle.v2.image.load_image">
+<code class="descclassname">paddle.v2.image.</code><code class="descname">load_image</code><span class="sig-paren">(</span><em>file</em>, <em>is_color=True</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.image.load_image" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load an color or gray image from the file path.</p>
+<p>Example usage:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">im</span> <span class="o">=</span> <span class="n">load_image</span><span class="p">(</span><span class="s1">&#39;cat.jpg&#39;</span><span class="p">)</span>
+</pre></div>
+</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>file</strong> (<em>string</em>) &#8211; the input image path.</li>
+<li><strong>is_color</strong> (<em>bool</em>) &#8211; If set is_color True, it will load and
+return a color image. Otherwise, it will
+load and return a gray image.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt id="paddle.v2.image.resize_short">
+<code class="descclassname">paddle.v2.image.</code><code class="descname">resize_short</code><span class="sig-paren">(</span><em>im</em>, <em>size</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.image.resize_short" title="Permalink to this definition">¶</a></dt>
+<dd><p>Resize an image so that the length of shorter edge is size.</p>
+<p>Example usage:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">im</span> <span class="o">=</span> <span class="n">load_image</span><span class="p">(</span><span class="s1">&#39;cat.jpg&#39;</span><span class="p">)</span>
+<span class="n">im</span> <span class="o">=</span> <span class="n">resize_short</span><span class="p">(</span><span class="n">im</span><span class="p">,</span> <span class="mi">256</span><span class="p">)</span>
+</pre></div>
+</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>im</strong> (<em>ndarray</em>) &#8211; the input image with HWC layout.</li>
+<li><strong>size</strong> (<em>int</em>) &#8211; the shorter edge size of image after resizing.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt id="paddle.v2.image.to_chw">
+<code class="descclassname">paddle.v2.image.</code><code class="descname">to_chw</code><span class="sig-paren">(</span><em>im</em>, <em>order=(2</em>, <em>0</em>, <em>1)</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.image.to_chw" title="Permalink to this definition">¶</a></dt>
+<dd><p>Transpose the input image order. The image layout is HWC format
+opened by cv2 or PIL. Transpose the input image to CHW layout
+according the order (2,0,1).</p>
+<p>Example usage:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">im</span> <span class="o">=</span> <span class="n">load_image</span><span class="p">(</span><span class="s1">&#39;cat.jpg&#39;</span><span class="p">)</span>
+<span class="n">im</span> <span class="o">=</span> <span class="n">resize_short</span><span class="p">(</span><span class="n">im</span><span class="p">,</span> <span class="mi">256</span><span class="p">)</span>
+<span class="n">im</span> <span class="o">=</span> <span class="n">to_chw</span><span class="p">(</span><span class="n">im</span><span class="p">)</span>
+</pre></div>
+</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>im</strong> (<em>ndarray</em>) &#8211; the input image with HWC layout.</li>
+<li><strong>order</strong> (<em>tuple|list</em>) &#8211; the transposed order.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt id="paddle.v2.image.center_crop">
+<code class="descclassname">paddle.v2.image.</code><code class="descname">center_crop</code><span class="sig-paren">(</span><em>im</em>, <em>size</em>, <em>is_color=True</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.image.center_crop" title="Permalink to this definition">¶</a></dt>
+<dd><p>Crop the center of image with size.</p>
+<p>Example usage:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">im</span> <span class="o">=</span> <span class="n">center_crop</span><span class="p">(</span><span class="n">im</span><span class="p">,</span> <span class="mi">224</span><span class="p">)</span>
+</pre></div>
+</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>im</strong> (<em>ndarray</em>) &#8211; the input image with HWC layout.</li>
+<li><strong>size</strong> (<em>int</em>) &#8211; the cropping size.</li>
+<li><strong>is_color</strong> (<em>bool</em>) &#8211; whether the image is color or not.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt id="paddle.v2.image.random_crop">
+<code class="descclassname">paddle.v2.image.</code><code class="descname">random_crop</code><span class="sig-paren">(</span><em>im</em>, <em>size</em>, <em>is_color=True</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.image.random_crop" title="Permalink to this definition">¶</a></dt>
+<dd><p>Randomly crop input image with size.</p>
+<p>Example usage:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">im</span> <span class="o">=</span> <span class="n">random_crop</span><span class="p">(</span><span class="n">im</span><span class="p">,</span> <span class="mi">224</span><span class="p">)</span>
+</pre></div>
+</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>im</strong> (<em>ndarray</em>) &#8211; the input image with HWC layout.</li>
+<li><strong>size</strong> (<em>int</em>) &#8211; the cropping size.</li>
+<li><strong>is_color</strong> (<em>bool</em>) &#8211; whether the image is color or not.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt id="paddle.v2.image.left_right_flip">
+<code class="descclassname">paddle.v2.image.</code><code class="descname">left_right_flip</code><span class="sig-paren">(</span><em>im</em>, <em>is_color=True</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.image.left_right_flip" title="Permalink to this definition">¶</a></dt>
+<dd><p>Flip an image along the horizontal direction.
+Return the flipped image.</p>
+<p>Example usage:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">im</span> <span class="o">=</span> <span class="n">left_right_flip</span><span class="p">(</span><span class="n">im</span><span class="p">)</span>
+</pre></div>
+</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>im</strong> (<em>ndarray</em>) &#8211; input image with HWC layout or HW layout for gray image</li>
+<li><strong>is_color</strong> (<em>bool</em>) &#8211; whether input image is color or not</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt id="paddle.v2.image.simple_transform">
+<code class="descclassname">paddle.v2.image.</code><code class="descname">simple_transform</code><span class="sig-paren">(</span><em>im</em>, <em>resize_size</em>, <em>crop_size</em>, <em>is_train</em>, <em>is_color=True</em>, <em>mean=None</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.image.simple_transform" title="Permalink to this definition">¶</a></dt>
+<dd><p>Simply data argumentation for training. These operations include
+resizing, croping and flipping.</p>
+<p>Example usage:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">im</span> <span class="o">=</span> <span class="n">simple_transform</span><span class="p">(</span><span class="n">im</span><span class="p">,</span> <span class="mi">256</span><span class="p">,</span> <span class="mi">224</span><span class="p">,</span> <span class="bp">True</span><span class="p">)</span>
+</pre></div>
+</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>im</strong> (<em>ndarray</em>) &#8211; The input image with HWC layout.</li>
+<li><strong>resize_size</strong> (<em>int</em>) &#8211; The shorter edge length of the resized image.</li>
+<li><strong>crop_size</strong> (<em>int</em>) &#8211; The cropping size.</li>
+<li><strong>is_train</strong> (<em>bool</em>) &#8211; Whether it is training or not.</li>
+<li><strong>is_color</strong> (<em>bool</em>) &#8211; whether the image is color or not.</li>
+<li><strong>mean</strong> (<em>numpy array | list</em>) &#8211; the mean values, which can be element-wise mean values or
+mean values per channel.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="function">
+<dt id="paddle.v2.image.load_and_transform">
+<code class="descclassname">paddle.v2.image.</code><code class="descname">load_and_transform</code><span class="sig-paren">(</span><em>filename</em>, <em>resize_size</em>, <em>crop_size</em>, <em>is_train</em>, <em>is_color=True</em>, <em>mean=None</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.image.load_and_transform" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load image from the input file <cite>filename</cite> and transform image for
+data argumentation. Please refer to the <cite>simple_transform</cite> interface
+for the transform operations.</p>
+<p>Example usage:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">im</span> <span class="o">=</span> <span class="n">load_and_transform</span><span class="p">(</span><span class="s1">&#39;cat.jpg&#39;</span><span class="p">,</span> <span class="mi">256</span><span class="p">,</span> <span class="mi">224</span><span class="p">,</span> <span class="bp">True</span><span class="p">)</span>
+</pre></div>
+</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>filename</strong> (<em>string</em>) &#8211; The file name of input image.</li>
+<li><strong>resize_size</strong> (<em>int</em>) &#8211; The shorter edge length of the resized image.</li>
+<li><strong>crop_size</strong> (<em>int</em>) &#8211; The cropping size.</li>
+<li><strong>is_train</strong> (<em>bool</em>) &#8211; Whether it is training or not.</li>
+<li><strong>is_color</strong> (<em>bool</em>) &#8211; whether the image is color or not.</li>
+<li><strong>mean</strong> (<em>numpy array | list</em>) &#8211; the mean values, which can be element-wise mean values or
+mean values per channel.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+
+
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+  <script src="../../_static/js/paddle_doc_init.js"></script> 
+
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+</html>
\ No newline at end of file

develop/api_doc/v2/fluid.html

+
+
+<!DOCTYPE html>
+<!--[if IE 8]><html class="no-js lt-ie9" lang="en" > <![endif]-->
+<!--[if gt IE 8]><!--> <html class="no-js" lang="en" > <!--<![endif]-->
+<head>
+  <meta charset="utf-8">
+  
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  
+  <title>Fluid &mdash; PaddlePaddle  documentation</title>
+  
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+  
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+  
+    
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+    <link rel="stylesheet" href="../_static/css/theme.css" type="text/css" />
+  
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+        <link rel="index" title="Index"
+              href="../genindex.html"/>
+        <link rel="search" title="Search" href="../search.html"/>
+    <link rel="top" title="PaddlePaddle  documentation" href="../index.html"/>
+        <link rel="next" title="layers" href="fluid/layers.html"/>
+        <link rel="prev" title="Training and Inference" href="run_logic.html"/> 
+
+  <link rel="stylesheet" href="https://cdn.jsdelivr.net/perfect-scrollbar/0.6.14/css/perfect-scrollbar.min.css" type="text/css" />
+  <link rel="stylesheet" href="../_static/css/override.css" type="text/css" />
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+  (function() {
+    var hm = document.createElement("script");
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+    var s = document.getElementsByTagName("script")[0]; 
+    s.parentNode.insertBefore(hm, s);
+  })();
+  </script>
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+  <script src="../_static/js/modernizr.min.js"></script>
+
+</head>
+
+<body class="wy-body-for-nav" role="document">
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+  <header class="site-header">
+    <div class="site-logo">
+      <a href="/"><img src="../_static/images/PP_w.png"></a>
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+    <div class="site-nav-links">
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+        <div class="language-switcher dropdown">
+          <a type="button" data-toggle="dropdown">
+            <span>English</span>
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+          <ul class="dropdown-menu">
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+            <li><a href="/doc">English</a></li>
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+        </ul>
+      </div>
+      <div class="doc-module">
+        
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+<li class="toctree-l1"><a class="reference internal" href="model_configs.html">Model Configuration</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="run_logic.html">Training and Inference</a></li>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Fluid</a></li>
+</ul>
+
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+  <form id="rtd-search-form" class="wy-form" action="../search.html" method="get">
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+<li class="toctree-l1"><a class="reference internal" href="model_configs.html">Model Configuration</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="config/activation.html">Activation</a></li>
+<li class="toctree-l2"><a class="reference internal" href="config/layer.html">Layers</a></li>
+<li class="toctree-l2"><a class="reference internal" href="config/evaluators.html">Evaluators</a></li>
+<li class="toctree-l2"><a class="reference internal" href="config/optimizer.html">Optimizer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="config/pooling.html">Pooling</a></li>
+<li class="toctree-l2"><a class="reference internal" href="config/networks.html">Networks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="config/attr.html">Parameter Attribute</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="data.html">Data Reader Interface and DataSets</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="data/data_reader.html">Data Reader Interface</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data/image.html">Image Interface</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data/dataset.html">Dataset</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="run_logic.html">Training and Inference</a></li>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Fluid</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="fluid/layers.html">layers</a></li>
+<li class="toctree-l2"><a class="reference internal" href="fluid/data_feeder.html">data_feeder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="fluid/executor.html">executor</a></li>
+<li class="toctree-l2"><a class="reference internal" href="fluid/initializer.html">initializer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="fluid/evaluator.html">evaluator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="fluid/nets.html">nets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="fluid/optimizer.html">optimizer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="fluid/param_attr.html">param_attr</a></li>
+<li class="toctree-l2"><a class="reference internal" href="fluid/profiler.html">profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="fluid/regularizer.html">regularizer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="fluid/io.html">io</a></li>
+</ul>
+</li>
+</ul>
+
+        
+    </nav>
+    
+    <section class="doc-content-wrap">
+
+      
+
+ 
+
+
+
+
+
+
+
+<div role="navigation" aria-label="breadcrumbs navigation">
+  <ul class="wy-breadcrumbs">
+      
+    <li>Fluid</li>
+  </ul>
+</div>
+      
+      <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="fluid">
+<h1>Fluid<a class="headerlink" href="#fluid" title="Permalink to this headline">¶</a></h1>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="fluid/layers.html">layers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="fluid/data_feeder.html">data_feeder</a></li>
+<li class="toctree-l1"><a class="reference internal" href="fluid/executor.html">executor</a></li>
+<li class="toctree-l1"><a class="reference internal" href="fluid/initializer.html">initializer</a></li>
+<li class="toctree-l1"><a class="reference internal" href="fluid/evaluator.html">evaluator</a></li>
+<li class="toctree-l1"><a class="reference internal" href="fluid/nets.html">nets</a></li>
+<li class="toctree-l1"><a class="reference internal" href="fluid/optimizer.html">optimizer</a></li>
+<li class="toctree-l1"><a class="reference internal" href="fluid/param_attr.html">param_attr</a></li>
+<li class="toctree-l1"><a class="reference internal" href="fluid/profiler.html">profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="fluid/regularizer.html">regularizer</a></li>
+<li class="toctree-l1"><a class="reference internal" href="fluid/io.html">io</a></li>
+</ul>
+</div>
+</div>
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+          </div>
+          <footer>
+  
+    <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
+      
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+      
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+  
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+  
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+        var DOCUMENTATION_OPTIONS = {
+            URL_ROOT:'../',
+            VERSION:'',
+            COLLAPSE_INDEX:false,
+            FILE_SUFFIX:'.html',
+            HAS_SOURCE:  true,
+            SOURCELINK_SUFFIX: ".txt",
+        };
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+  <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha384-Tc5IQib027qvyjSMfHjOMaLkfuWVxZxUPnCJA7l2mCWNIpG9mGCD8wGNIcPD7Txa" crossorigin="anonymous"></script>
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+  <script src="../_static/js/paddle_doc_init.js"></script> 
+
+</body>
+</html>
\ No newline at end of file

develop/api_doc/v2/fluid/data_feeder.html

+
+
+<!DOCTYPE html>
+<!--[if IE 8]><html class="no-js lt-ie9" lang="en" > <![endif]-->
+<!--[if gt IE 8]><!--> <html class="no-js" lang="en" > <!--<![endif]-->
+<head>
+  <meta charset="utf-8">
+  
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  
+  <title>data_feeder &mdash; PaddlePaddle  documentation</title>
+  
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+  
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+  
+  
+    
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+  
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+    <link rel="stylesheet" href="../../_static/css/theme.css" type="text/css" />
+  
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+        <link rel="index" title="Index"
+              href="../../genindex.html"/>
+        <link rel="search" title="Search" href="../../search.html"/>
+    <link rel="top" title="PaddlePaddle  documentation" href="../../index.html"/>
+        <link rel="up" title="Fluid" href="../fluid.html"/>
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+        <link rel="prev" title="layers" href="layers.html"/> 
+
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+  (function() {
+    var hm = document.createElement("script");
+    hm.src = "//hm.baidu.com/hm.js?b9a314ab40d04d805655aab1deee08ba";
+    var s = document.getElementsByTagName("script")[0]; 
+    s.parentNode.insertBefore(hm, s);
+  })();
+  </script>
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+  <script src="../../_static/js/modernizr.min.js"></script>
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+    <div class="site-logo">
+      <a href="/"><img src="../../_static/images/PP_w.png"></a>
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+    <div class="site-nav-links">
+      <div class="site-menu">
+        <a class="fork-on-github" href="https://github.com/PaddlePaddle/Paddle" target="_blank"><i class="fa fa-github"></i>Fork me on Github</a>
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+<li class="toctree-l1"><a class="reference internal" href="../data.html">Data Reader Interface and DataSets</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../run_logic.html">Training and Inference</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../fluid.html">Fluid</a></li>
+</ul>
+
+        
+<div role="search">
+  <form id="rtd-search-form" class="wy-form" action="../../search.html" method="get">
+    <input type="text" name="q" placeholder="Search docs" />
+    <input type="hidden" name="check_keywords" value="yes" />
+    <input type="hidden" name="area" value="default" />
+  </form>
+</div>        
+      </div>
+    </div>
+  </header>
+  
+  <div class="main-content-wrap">
+
+    
+    <nav class="doc-menu-vertical" role="navigation">
+        
+          
+          <ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../model_configs.html">Model Configuration</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="../config/activation.html">Activation</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../config/layer.html">Layers</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../config/evaluators.html">Evaluators</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../config/optimizer.html">Optimizer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../config/pooling.html">Pooling</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../config/networks.html">Networks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../config/attr.html">Parameter Attribute</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="../data.html">Data Reader Interface and DataSets</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="../data/data_reader.html">Data Reader Interface</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../data/image.html">Image Interface</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../data/dataset.html">Dataset</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="../run_logic.html">Training and Inference</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../fluid.html">Fluid</a><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="layers.html">layers</a></li>
+<li class="toctree-l2 current"><a class="current reference internal" href="#">data_feeder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="executor.html">executor</a></li>
+<li class="toctree-l2"><a class="reference internal" href="initializer.html">initializer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="evaluator.html">evaluator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="nets.html">nets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="optimizer.html">optimizer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="param_attr.html">param_attr</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler.html">profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regularizer.html">regularizer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="io.html">io</a></li>
+</ul>
+</li>
+</ul>
+
+        
+    </nav>
+    
+    <section class="doc-content-wrap">
+
+      
+
+ 
+
+
+
+
+
+
+
+<div role="navigation" aria-label="breadcrumbs navigation">
+  <ul class="wy-breadcrumbs">
+      
+        <li><a href="../fluid.html">Fluid</a> > </li>
+      
+    <li>data_feeder</li>
+  </ul>
+</div>
+      
+      <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="data-feeder">
+<h1>data_feeder<a class="headerlink" href="#data-feeder" title="Permalink to this headline">¶</a></h1>
+<div class="section" id="datafeeder">
+<h2>DataFeeder<a class="headerlink" href="#datafeeder" title="Permalink to this headline">¶</a></h2>
+<dl class="class">
+<dt>
+<em class="property">class </em><code class="descclassname">paddle.v2.fluid.data_feeder.</code><code class="descname">DataFeeder</code><span class="sig-paren">(</span><em>feed_list</em>, <em>place</em>, <em>program=None</em><span class="sig-paren">)</span></dt>
+<dd></dd></dl>
+
+</div>
+</div>
+
+
+           </div>
+          </div>
+          <footer>
+  
+    <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
+      
+        <a href="executor.html" class="btn btn-neutral float-right" title="executor" accesskey="n">Next <span class="fa fa-arrow-circle-right"></span></a>
+      
+      
+        <a href="layers.html" class="btn btn-neutral" title="layers" accesskey="p"><span class="fa fa-arrow-circle-left"></span> Previous</a>
+      
+    </div>
+  
+
+  <hr/>
+
+  <div role="contentinfo">
+    <p>
+        &copy; Copyright 2016, PaddlePaddle developers.
+
+    </p>
+  </div>
+  Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a <a href="https://github.com/snide/sphinx_rtd_theme">theme</a> provided by <a href="https://readthedocs.org">Read the Docs</a>. 
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+</footer>
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+
+  </div>
+  
+
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+
+    <script type="text/javascript">
+        var DOCUMENTATION_OPTIONS = {
+            URL_ROOT:'../../',
+            VERSION:'',
+            COLLAPSE_INDEX:false,
+            FILE_SUFFIX:'.html',
+            HAS_SOURCE:  true,
+            SOURCELINK_SUFFIX: ".txt",
+        };
+    </script>
+      <script type="text/javascript" src="../../_static/jquery.js"></script>
+      <script type="text/javascript" src="../../_static/underscore.js"></script>
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+  
+  
+  <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha384-Tc5IQib027qvyjSMfHjOMaLkfuWVxZxUPnCJA7l2mCWNIpG9mGCD8wGNIcPD7Txa" crossorigin="anonymous"></script>
+  <script src="https://cdn.jsdelivr.net/perfect-scrollbar/0.6.14/js/perfect-scrollbar.jquery.min.js"></script>
+  <script src="../../_static/js/paddle_doc_init.js"></script> 
+
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+</html>
\ No newline at end of file

develop/api_doc/v2/fluid/evaluator.html

+
+
+<!DOCTYPE html>
+<!--[if IE 8]><html class="no-js lt-ie9" lang="en" > <![endif]-->
+<!--[if gt IE 8]><!--> <html class="no-js" lang="en" > <!--<![endif]-->
+<head>
+  <meta charset="utf-8">
+  
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  
+  <title>evaluator &mdash; PaddlePaddle  documentation</title>
+  
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+  
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+  
+  
+    
+
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+
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+  
+    <link rel="stylesheet" href="../../_static/css/theme.css" type="text/css" />
+  
+
+  
+  
+        <link rel="index" title="Index"
+              href="../../genindex.html"/>
+        <link rel="search" title="Search" href="../../search.html"/>
+    <link rel="top" title="PaddlePaddle  documentation" href="../../index.html"/>
+        <link rel="up" title="Fluid" href="../fluid.html"/>
+        <link rel="next" title="nets" href="nets.html"/>
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+           <div itemprop="articleBody">
+            
+  <div class="section" id="evaluator">
+<h1>evaluator<a class="headerlink" href="#evaluator" title="Permalink to this headline">¶</a></h1>
+<div class="section" id="accuracy">
+<h2>Accuracy<a class="headerlink" href="#accuracy" title="Permalink to this headline">¶</a></h2>
+<dl class="class">
+<dt>
+<em class="property">class </em><code class="descclassname">paddle.v2.fluid.evaluator.</code><code class="descname">Accuracy</code><span class="sig-paren">(</span><em>input</em>, <em>label</em>, <em>k=1</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
+<dd><p>Average Accuracy for multiple mini-batches.</p>
+</dd></dl>
+
+</div>
+<div class="section" id="chunkevaluator">
+<h2>ChunkEvaluator<a class="headerlink" href="#chunkevaluator" title="Permalink to this headline">¶</a></h2>
+<dl class="class">
+<dt>
+<em class="property">class </em><code class="descclassname">paddle.v2.fluid.evaluator.</code><code class="descname">ChunkEvaluator</code><span class="sig-paren">(</span><em>input</em>, <em>label</em>, <em>chunk_scheme</em>, <em>num_chunk_types</em>, <em>excluded_chunk_types=None</em><span class="sig-paren">)</span></dt>
+<dd><p>Accumulate counter numbers output by chunk_eval from mini-batches and
+compute the precision recall and F1-score using the accumulated counter
+numbers.</p>
+</dd></dl>
+
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+    <li>executor</li>
+  </ul>
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+        <div class="rst-content">
+          <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
+           <div itemprop="articleBody">
+            
+  <div class="section" id="executor">
+<h1>executor<a class="headerlink" href="#executor" title="Permalink to this headline">¶</a></h1>
+<div class="section" id="id1">
+<h2>Executor<a class="headerlink" href="#id1" title="Permalink to this headline">¶</a></h2>
+<dl class="class">
+<dt>
+<em class="property">class </em><code class="descclassname">paddle.v2.fluid.executor.</code><code class="descname">Executor</code><span class="sig-paren">(</span><em>places</em><span class="sig-paren">)</span></dt>
+<dd></dd></dl>
+
+</div>
+<div class="section" id="global-scope">
+<h2>global_scope<a class="headerlink" href="#global-scope" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.executor.</code><code class="descname">global_scope</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd></dd></dl>
+
+</div>
+<div class="section" id="scope-guard">
+<h2>scope_guard<a class="headerlink" href="#scope-guard" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.executor.</code><code class="descname">scope_guard</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwds</em><span class="sig-paren">)</span></dt>
+<dd></dd></dl>
+
+</div>
+<div class="section" id="switch-scope">
+<h2>switch_scope<a class="headerlink" href="#switch-scope" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.executor.</code><code class="descname">switch_scope</code><span class="sig-paren">(</span><em>scope</em><span class="sig-paren">)</span></dt>
+<dd></dd></dl>
+
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+</div>
+
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+            
+  <div class="section" id="initializer">
+<h1>initializer<a class="headerlink" href="#initializer" title="Permalink to this headline">¶</a></h1>
+<div class="section" id="constant">
+<h2>Constant<a class="headerlink" href="#constant" title="Permalink to this headline">¶</a></h2>
+<dl class="attribute">
+<dt>
+<code class="descclassname">paddle.v2.fluid.initializer.</code><code class="descname">Constant</code></dt>
+<dd><p>alias of <code class="xref py py-class docutils literal"><span class="pre">ConstantInitializer</span></code></p>
+</dd></dl>
+
+</div>
+<div class="section" id="uniform">
+<h2>Uniform<a class="headerlink" href="#uniform" title="Permalink to this headline">¶</a></h2>
+<dl class="attribute">
+<dt>
+<code class="descclassname">paddle.v2.fluid.initializer.</code><code class="descname">Uniform</code></dt>
+<dd><p>alias of <code class="xref py py-class docutils literal"><span class="pre">UniformInitializer</span></code></p>
+</dd></dl>
+
+</div>
+<div class="section" id="normal">
+<h2>Normal<a class="headerlink" href="#normal" title="Permalink to this headline">¶</a></h2>
+<dl class="attribute">
+<dt>
+<code class="descclassname">paddle.v2.fluid.initializer.</code><code class="descname">Normal</code></dt>
+<dd><p>alias of <code class="xref py py-class docutils literal"><span class="pre">NormalInitializer</span></code></p>
+</dd></dl>
+
+</div>
+<div class="section" id="xavier">
+<h2>Xavier<a class="headerlink" href="#xavier" title="Permalink to this headline">¶</a></h2>
+<dl class="attribute">
+<dt>
+<code class="descclassname">paddle.v2.fluid.initializer.</code><code class="descname">Xavier</code></dt>
+<dd><p>alias of <code class="xref py py-class docutils literal"><span class="pre">XavierInitializer</span></code></p>
+</dd></dl>
+
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+          <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
+           <div itemprop="articleBody">
+            
+  <div class="section" id="io">
+<h1>io<a class="headerlink" href="#io" title="Permalink to this headline">¶</a></h1>
+<div class="section" id="save-vars">
+<h2>save_vars<a class="headerlink" href="#save-vars" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.io.</code><code class="descname">save_vars</code><span class="sig-paren">(</span><em>executor</em>, <em>dirname</em>, <em>main_program=None</em>, <em>vars=None</em>, <em>predicate=None</em>, <em>save_file_name=None</em><span class="sig-paren">)</span></dt>
+<dd><p>Save variables to directory by executor.</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>executor</strong> &#8211; executor that save variable</li>
+<li><strong>dirname</strong> &#8211; directory path</li>
+<li><strong>main_program</strong> &#8211; program. If vars is None, then filter all variables in this</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+<p>program which fit <cite>predicate</cite>. Default default_main_program.
+:param predicate: The Predicate describes a callable that returns a variable
+as a bool. If it returns true, the corresponding input variable will be saved.
+:param vars: variables need to be saved. If vars is specified, program &amp; predicate
+will be ignored
+:param save_file_name: The name of a single file that all vars are saved to.
+If it is None, save variables to separate files.</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">Returns:</th><td class="field-body">None</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="save-params">
+<h2>save_params<a class="headerlink" href="#save-params" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.io.</code><code class="descname">save_params</code><span class="sig-paren">(</span><em>executor</em>, <em>dirname</em>, <em>main_program=None</em>, <em>save_file_name=None</em><span class="sig-paren">)</span></dt>
+<dd><p>Save all parameters to directory with executor.</p>
+</dd></dl>
+
+</div>
+<div class="section" id="save-persistables">
+<h2>save_persistables<a class="headerlink" href="#save-persistables" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.io.</code><code class="descname">save_persistables</code><span class="sig-paren">(</span><em>executor</em>, <em>dirname</em>, <em>main_program=None</em>, <em>save_file_name=None</em><span class="sig-paren">)</span></dt>
+<dd><p>Save all persistables to directory with executor.</p>
+</dd></dl>
+
+</div>
+<div class="section" id="load-vars">
+<h2>load_vars<a class="headerlink" href="#load-vars" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.io.</code><code class="descname">load_vars</code><span class="sig-paren">(</span><em>executor</em>, <em>dirname</em>, <em>main_program=None</em>, <em>vars=None</em>, <em>predicate=None</em>, <em>load_file_name=None</em><span class="sig-paren">)</span></dt>
+<dd><p>Load variables from directory by executor.</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>executor</strong> &#8211; executor that load variable</li>
+<li><strong>dirname</strong> &#8211; directory path</li>
+<li><strong>main_program</strong> &#8211; program. If vars is None, then filter all variables in this</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+<p>program which fit <cite>predicate</cite>. Default default_main_program().
+:param predicate: The Predicate describes a callable that returns a variable
+as a bool. If it returns true, the corresponding input variable will be loaded.
+:param vars: variables need to be loaded. If vars is specified, program &amp;
+predicate will be ignored
+:param load_file_name: The name of the single file that all vars are loaded from.
+If it is None, load variables from separate files.</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">Returns:</th><td class="field-body">None</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="load-params">
+<h2>load_params<a class="headerlink" href="#load-params" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.io.</code><code class="descname">load_params</code><span class="sig-paren">(</span><em>executor</em>, <em>dirname</em>, <em>main_program=None</em>, <em>load_file_name=None</em><span class="sig-paren">)</span></dt>
+<dd><p>load all parameters from directory by executor.</p>
+</dd></dl>
+
+</div>
+<div class="section" id="load-persistables">
+<h2>load_persistables<a class="headerlink" href="#load-persistables" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.io.</code><code class="descname">load_persistables</code><span class="sig-paren">(</span><em>executor</em>, <em>dirname</em>, <em>main_program=None</em>, <em>load_file_name=None</em><span class="sig-paren">)</span></dt>
+<dd><p>load all persistables from directory by executor.</p>
+</dd></dl>
+
+</div>
+<div class="section" id="save-inference-model">
+<h2>save_inference_model<a class="headerlink" href="#save-inference-model" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.io.</code><code class="descname">save_inference_model</code><span class="sig-paren">(</span><em>dirname</em>, <em>feeded_var_names</em>, <em>target_vars</em>, <em>executor</em>, <em>main_program=None</em>, <em>save_file_name=None</em><span class="sig-paren">)</span></dt>
+<dd><p>Build a model especially for inference,
+and save it to directory by the executor.</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>dirname</strong> &#8211; directory path</li>
+<li><strong>feeded_var_names</strong> &#8211; Names of variables that need to be feeded data during inference</li>
+<li><strong>target_vars</strong> &#8211; Variables from which we can get inference results.</li>
+<li><strong>executor</strong> &#8211; executor that save inference model</li>
+<li><strong>main_program</strong> &#8211; original program, which will be pruned to build the inference model.
+Default default_main_program().</li>
+<li><strong>save_file_name</strong> &#8211; The name of a single file that all parameters are saved to.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+<p>If it is None, save parameters to separate files.</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">Returns:</th><td class="field-body">None</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="load-inference-model">
+<h2>load_inference_model<a class="headerlink" href="#load-inference-model" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.io.</code><code class="descname">load_inference_model</code><span class="sig-paren">(</span><em>dirname</em>, <em>executor</em>, <em>load_file_name=None</em><span class="sig-paren">)</span></dt>
+<dd><p>Load inference model from a directory</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>dirname</strong> &#8211; directory path</li>
+<li><strong>executor</strong> &#8211; executor that load inference model</li>
+<li><strong>load_file_name</strong> &#8211; The name of the single file that all parameters are loaded from.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+<p>If it is None, load parameters from separate files.</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">Returns:</th><td class="field-body">[program, feed_target_names, fetch_targets]
+program: program especially for inference.
+feed_target_names: Names of variables that need to feed data
+fetch_targets: Variables from which we can get inference results.</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="get-inference-program">
+<h2>get_inference_program<a class="headerlink" href="#get-inference-program" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.io.</code><code class="descname">get_inference_program</code><span class="sig-paren">(</span><em>target_vars</em>, <em>main_program=None</em><span class="sig-paren">)</span></dt>
+<dd></dd></dl>
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+            
+  <div class="section" id="nets">
+<h1>nets<a class="headerlink" href="#nets" title="Permalink to this headline">¶</a></h1>
+<div class="section" id="simple-img-conv-pool">
+<h2>simple_img_conv_pool<a class="headerlink" href="#simple-img-conv-pool" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.nets.</code><code class="descname">simple_img_conv_pool</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size</em>, <em>pool_size</em>, <em>pool_stride</em>, <em>act</em>, <em>param_attr=None</em>, <em>pool_type='max'</em>, <em>use_cudnn=True</em><span class="sig-paren">)</span></dt>
+<dd></dd></dl>
+
+</div>
+<div class="section" id="sequence-conv-pool">
+<h2>sequence_conv_pool<a class="headerlink" href="#sequence-conv-pool" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.nets.</code><code class="descname">sequence_conv_pool</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size</em>, <em>param_attr=None</em>, <em>act='sigmoid'</em>, <em>pool_type='max'</em><span class="sig-paren">)</span></dt>
+<dd></dd></dl>
+
+</div>
+<div class="section" id="glu">
+<h2>glu<a class="headerlink" href="#glu" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.nets.</code><code class="descname">glu</code><span class="sig-paren">(</span><em>input</em>, <em>dim=-1</em><span class="sig-paren">)</span></dt>
+<dd><p>The gated linear unit composed by split, sigmoid activation and elementwise
+multiplication. Specifically, Split the input into two equal sized parts
+<span class="math">\(a\)</span> and <span class="math">\(b\)</span> along the given dimension and then compute as
+following:</p>
+<blockquote>
+<div><div class="math">
+\[{GLU}(a, b)= a \otimes \sigma(b)\]</div>
+</div></blockquote>
+<p>Refer to <a class="reference external" href="https://arxiv.org/pdf/1612.08083.pdf">Language Modeling with Gated Convolutional Networks</a>.</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 simple">
+<li><strong>input</strong> (<em>Variable</em>) &#8211; The input variable which is a Tensor or LoDTensor.</li>
+<li><strong>dim</strong> (<em>int</em>) &#8211; The dimension along which to split. If <span class="math">\(dim &lt; 0\)</span>, the
+dimension to split along is <span class="math">\(rank(input) + dim\)</span>.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">The Tensor variable with half the size of input.</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">Variable</p>
+</td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Examples</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="c1"># x is a Tensor variable with shape [3, 6, 9]</span>
+<span class="n">fluid</span><span class="o">.</span><span class="n">nets</span><span class="o">.</span><span class="n">glu</span><span class="p">(</span><span class="nb">input</span><span class="o">=</span><span class="n">x</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>  <span class="c1"># shape of output: [3, 3, 9]</span>
+</pre></div>
+</div>
+</dd></dl>
+
+</div>
+<div class="section" id="scaled-dot-product-attention">
+<h2>scaled_dot_product_attention<a class="headerlink" href="#scaled-dot-product-attention" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.nets.</code><code class="descname">scaled_dot_product_attention</code><span class="sig-paren">(</span><em>queries</em>, <em>keys</em>, <em>values</em>, <em>num_heads=1</em>, <em>dropout_rate=0.0</em><span class="sig-paren">)</span></dt>
+<dd><p>The dot-product attention.</p>
+<p>Attention mechanism can be seen as mapping a query and a set of key-value
+pairs to an output. The output is computed as a weighted sum of the values,
+where the weight assigned to each value is computed by a compatibility
+function (dot-product here) of the query with the corresponding key.</p>
+<p>The dot-product attention can be implemented through (batch) matrix
+multipication as follows:</p>
+<blockquote>
+<div><div class="math">
+\[Attention(Q, K, V)= softmax(QK^\mathrm{T})V\]</div>
+</div></blockquote>
+<p>Refer to <a class="reference external" href="https://arxiv.org/pdf/1706.03762.pdf">Attention Is All You Need</a>.</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 simple">
+<li><strong>queries</strong> (<em>Variable</em>) &#8211; The input variable which should be a 3-D Tensor.</li>
+<li><strong>keys</strong> (<em>Variable</em>) &#8211; The input variable which should be a 3-D Tensor.</li>
+<li><strong>values</strong> (<em>Variable</em>) &#8211; The input variable which should be a 3-D Tensor.</li>
+<li><strong>num_heads</strong> (<em>int</em>) &#8211; Head number to compute the scaled dot product
+attention. Default value is 1.</li>
+<li><strong>dropout_rate</strong> (<em>float</em>) &#8211; The dropout rate to drop the attention weight.
+Default value is 0.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><dl class="docutils">
+<dt>A 3-D Tensor computed by multi-head scaled dot product</dt>
+<dd><p class="first last">attention.</p>
+</dd>
+</dl>
+</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first">Variable</p>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Raises:</th><td class="field-body"><p class="first last"><code class="xref py py-exc docutils literal"><span class="pre">ValueError</span></code> &#8211; If input queries, keys, values are not 3-D Tensors.</p>
+</td>
+</tr>
+</tbody>
+</table>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>1. When num_heads &gt; 1, three linear projections are learned respectively
+to map input queries, keys and values into queries&#8217;, keys&#8217; and values&#8217;.
+queries&#8217;, keys&#8217; and values&#8217; have the same shapes with queries, keys
+and values.</p>
+<p class="last">1. When num_heads == 1, scaled_dot_product_attention has no learnable
+parameters.</p>
+</div>
+<p class="rubric">Examples</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="c1"># Suppose q, k, v are Tensors with the following shape:</span>
+<span class="c1"># q: [3, 5, 9], k: [3, 6, 9], v: [3, 6, 10]</span>
+
+<span class="n">contexts</span> <span class="o">=</span> <span class="n">fluid</span><span class="o">.</span><span class="n">nets</span><span class="o">.</span><span class="n">scaled_dot_product_attention</span><span class="p">(</span><span class="n">q</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span><span class="p">)</span>
+<span class="n">contexts</span><span class="o">.</span><span class="n">shape</span>  <span class="c1"># [3, 5, 10]</span>
+</pre></div>
+</div>
+</dd></dl>
+
+</div>
+</div>
+
+
+           </div>
+          </div>
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+            
+  <div class="section" id="optimizer">
+<h1>optimizer<a class="headerlink" href="#optimizer" title="Permalink to this headline">¶</a></h1>
+<div class="section" id="sgd">
+<h2>SGD<a class="headerlink" href="#sgd" title="Permalink to this headline">¶</a></h2>
+<dl class="attribute">
+<dt>
+<code class="descclassname">paddle.v2.fluid.optimizer.</code><code class="descname">SGD</code></dt>
+<dd><p>alias of <code class="xref py py-class docutils literal"><span class="pre">SGDOptimizer</span></code></p>
+</dd></dl>
+
+</div>
+<div class="section" id="momentum">
+<h2>Momentum<a class="headerlink" href="#momentum" title="Permalink to this headline">¶</a></h2>
+<dl class="attribute">
+<dt>
+<code class="descclassname">paddle.v2.fluid.optimizer.</code><code class="descname">Momentum</code></dt>
+<dd><p>alias of <code class="xref py py-class docutils literal"><span class="pre">MomentumOptimizer</span></code></p>
+</dd></dl>
+
+</div>
+<div class="section" id="adagrad">
+<h2>Adagrad<a class="headerlink" href="#adagrad" title="Permalink to this headline">¶</a></h2>
+<dl class="attribute">
+<dt>
+<code class="descclassname">paddle.v2.fluid.optimizer.</code><code class="descname">Adagrad</code></dt>
+<dd><p>alias of <code class="xref py py-class docutils literal"><span class="pre">AdagradOptimizer</span></code></p>
+</dd></dl>
+
+</div>
+<div class="section" id="adam">
+<h2>Adam<a class="headerlink" href="#adam" title="Permalink to this headline">¶</a></h2>
+<dl class="attribute">
+<dt>
+<code class="descclassname">paddle.v2.fluid.optimizer.</code><code class="descname">Adam</code></dt>
+<dd><p>alias of <code class="xref py py-class docutils literal"><span class="pre">AdamOptimizer</span></code></p>
+</dd></dl>
+
+</div>
+<div class="section" id="adamax">
+<h2>Adamax<a class="headerlink" href="#adamax" title="Permalink to this headline">¶</a></h2>
+<dl class="attribute">
+<dt>
+<code class="descclassname">paddle.v2.fluid.optimizer.</code><code class="descname">Adamax</code></dt>
+<dd><p>alias of <code class="xref py py-class docutils literal"><span class="pre">AdamaxOptimizer</span></code></p>
+</dd></dl>
+
+</div>
+<div class="section" id="decayedadagrad">
+<h2>DecayedAdagrad<a class="headerlink" href="#decayedadagrad" title="Permalink to this headline">¶</a></h2>
+<dl class="attribute">
+<dt>
+<code class="descclassname">paddle.v2.fluid.optimizer.</code><code class="descname">DecayedAdagrad</code></dt>
+<dd><p>alias of <code class="xref py py-class docutils literal"><span class="pre">DecayedAdagradOptimizer</span></code></p>
+</dd></dl>
+
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+<li class="toctree-l1 current"><a class="reference internal" href="../fluid.html">Fluid</a><ul class="current">
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+  <ul class="wy-breadcrumbs">
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+        <li><a href="../fluid.html">Fluid</a> > </li>
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+    <li>param_attr</li>
+  </ul>
+</div>
+      
+      <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="param-attr">
+<h1>param_attr<a class="headerlink" href="#param-attr" title="Permalink to this headline">¶</a></h1>
+<div class="section" id="paramattr">
+<h2>ParamAttr<a class="headerlink" href="#paramattr" title="Permalink to this headline">¶</a></h2>
+<dl class="class">
+<dt>
+<em class="property">class </em><code class="descclassname">paddle.v2.fluid.param_attr.</code><code class="descname">ParamAttr</code><span class="sig-paren">(</span><em>name=None</em>, <em>initializer=None</em>, <em>learning_rate=1.0</em>, <em>regularizer=None</em>, <em>trainable=True</em>, <em>gradient_clip=None</em><span class="sig-paren">)</span></dt>
+<dd></dd></dl>
+
+</div>
+<div class="section" id="weightnormparamattr">
+<h2>WeightNormParamAttr<a class="headerlink" href="#weightnormparamattr" title="Permalink to this headline">¶</a></h2>
+<dl class="class">
+<dt>
+<em class="property">class </em><code class="descclassname">paddle.v2.fluid.param_attr.</code><code class="descname">WeightNormParamAttr</code><span class="sig-paren">(</span><em>dim=None</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
+<dd><p>Used for weight normalization. Any field in ParamAttr can also be set here.
+Besides, an extra field dim can be set to indicate the dimension except
+which to normalize.</p>
+</dd></dl>
+
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+    <li>profiler</li>
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+        <div class="rst-content">
+          <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
+           <div itemprop="articleBody">
+            
+  <div class="section" id="profiler">
+<h1>profiler<a class="headerlink" href="#profiler" title="Permalink to this headline">¶</a></h1>
+<div class="section" id="cuda-profiler">
+<h2>cuda_profiler<a class="headerlink" href="#cuda-profiler" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.profiler.</code><code class="descname">cuda_profiler</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwds</em><span class="sig-paren">)</span></dt>
+<dd><p>The CUDA profiler.
+This fuctions is used to profile CUDA program by CUDA runtime application
+programming interface. The profiling result will be written into
+<cite>output_file</cite> with Key-Value pair format or Comma separated values format.
+The user can set the output mode by <cite>output_mode</cite> argument and set the
+counters/options for profiling by <cite>config</cite> argument. The default config
+is [&#8216;gpustarttimestamp&#8217;, &#8216;gpustarttimestamp&#8217;, &#8216;gridsize3d&#8217;,
+&#8216;threadblocksize&#8217;, &#8216;streamid&#8217;, &#8216;enableonstart 0&#8217;, &#8216;conckerneltrace&#8217;].</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>output_file</strong> (<em>string</em>) &#8211; The output file name, the result will be
+written into this file.</li>
+<li><strong>output_mode</strong> (<em>string</em>) &#8211; The output mode has Key-Value pair format and
+Comma separated values format. It should be &#8216;kvp&#8217; or &#8216;csv&#8217;.</li>
+<li><strong>config</strong> (<em>list of string</em>) &#8211; The profiler options and counters can refer
+to &#8220;Compute Command Line Profiler User Guide&#8221;.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="reset-profiler">
+<h2>reset_profiler<a class="headerlink" href="#reset-profiler" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.profiler.</code><code class="descname">reset_profiler</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>The profiler clear interface.
+reset_profiler will clear the previous time record.</p>
+</dd></dl>
+
+</div>
+<div class="section" id="id1">
+<h2>profiler<a class="headerlink" href="#id1" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.profiler.</code><code class="descname">profiler</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwds</em><span class="sig-paren">)</span></dt>
+<dd><p>The profiler interface.
+Different from cuda_profiler, this profiler can be used to profile both CPU
+and GPU program. By defalut, it records the CPU and GPU operator kernels,
+if you want to profile other program, you can refer the profiling tutorial
+to add more records.</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>state</strong> (<em>string</em>) &#8211; The profiling state, which should be &#8216;CPU&#8217; or &#8216;GPU&#8217;,
+telling the profiler to use CPU timer or GPU timer for profiling.
+Although users may have already specified the execution place
+(CPUPlace/CUDAPlace) in the begining, for flexibility the profiler
+would not inherit this place.</li>
+<li><strong>sorted_key</strong> (<em>string</em>) &#8211; If None, the profiling results will be printed
+in the order of first end time of events. Otherwise, the profiling
+results will be sorted by the this flag. This flag should be one
+of &#8216;calls&#8217;, &#8216;total&#8217;, &#8216;max&#8217;, &#8216;min&#8217; or &#8216;ave&#8217;.
+The <cite>calls</cite> means sorting by the number of calls.
+The <cite>total</cite> means sorting by the total execution time.
+The <cite>max</cite> means sorting by the maximum execution time.
+The <cite>min</cite> means sorting by the minimum execution time.
+The <cite>ave</cite> means sorting by the average execution time.</li>
+</ul>
+</td>
+</tr>
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+            
+  <div class="section" id="regularizer">
+<h1>regularizer<a class="headerlink" href="#regularizer" title="Permalink to this headline">¶</a></h1>
+<div class="section" id="append-regularization-ops">
+<h2>append_regularization_ops<a class="headerlink" href="#append-regularization-ops" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.fluid.regularizer.</code><code class="descname">append_regularization_ops</code><span class="sig-paren">(</span><em>parameters_and_grads</em>, <em>regularization=None</em><span class="sig-paren">)</span></dt>
+<dd><p>Create and add backward regularization Operators</p>
+<p>Creates and adds backward regularization operators in the BlockDesc.
+This will add gradients of the regularizer function to the gradients
+of the parameters and return these modified gradients. This is the
+same as implementing weight decay in optimizers for regularization.</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 simple">
+<li><strong>parameters_and_grads</strong> &#8211; A list of (parameters, gradients) pairs
+that need to be regularized.</li>
+<li><strong>regularization</strong> &#8211; A global regularizer. If the parameter is not
+set. It will be applied with regularizer.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">list of (parameters, gradients) pair with the regularized gradient</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Raises:</th><td class="field-body"><p class="first last"><code class="xref py py-exc docutils literal"><span class="pre">Exception</span></code> &#8211; Unknown regularization type</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+<div class="section" id="l1decay">
+<h2>L1Decay<a class="headerlink" href="#l1decay" title="Permalink to this headline">¶</a></h2>
+<dl class="attribute">
+<dt>
+<code class="descclassname">paddle.v2.fluid.regularizer.</code><code class="descname">L1Decay</code></dt>
+<dd><p>alias of <code class="xref py py-class docutils literal"><span class="pre">L1DecayRegularizer</span></code></p>
+</dd></dl>
+
+</div>
+<div class="section" id="l2decay">
+<h2>L2Decay<a class="headerlink" href="#l2decay" title="Permalink to this headline">¶</a></h2>
+<dl class="attribute">
+<dt>
+<code class="descclassname">paddle.v2.fluid.regularizer.</code><code class="descname">L2Decay</code></dt>
+<dd><p>alias of <code class="xref py py-class docutils literal"><span class="pre">L2DecayRegularizer</span></code></p>
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+<div role="navigation" aria-label="breadcrumbs navigation">
+  <ul class="wy-breadcrumbs">
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+    <li>Training and Inference</li>
+  </ul>
+</div>
+      
+      <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="training-and-inference">
+<h1>Training and Inference<a class="headerlink" href="#training-and-inference" title="Permalink to this headline">¶</a></h1>
+<div class="section" id="parameters">
+<h2>Parameters<a class="headerlink" href="#parameters" title="Permalink to this headline">¶</a></h2>
+<dl class="class">
+<dt>
+<em class="property">class </em><code class="descclassname">paddle.v2.parameters.</code><code class="descname">Parameters</code></dt>
+<dd><p><cite>Parameters</cite> manages all the learnable parameters in a neural network.
+It stores parameters&#8217; information in an OrderedDict. The key is
+the name of a parameter, and value is a parameter&#8217;s configuration(in
+protobuf format), such as initialization mean and std, its size, whether it
+is a static parameter, and so on.</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>__param_conf__</strong> (<em>OrderedDict</em>) &#8211; store the configurations of learnable parameters in
+the network in an OrderedDict. Parameter is added one by one into the
+dict by following their created order in the network: parameters of
+the previous layers in a network are careted first. You can visit the
+parameters from bottom to top by iterating over this dict.</li>
+<li><strong>__gradient_machines__</strong> (<em>list</em>) &#8211; all of the parameters in a neural network are
+appended to a PaddlePaddle gradient machine, which is used internally to
+copy parameter values between C++ and Python end.</li>
+<li><strong>__tmp_params__</strong> (<em>dict</em>) &#8211; a dict to store dummy parameters if no
+__gradient_machines__ is appended to <cite>Parameters</cite>.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+<p>Basically usage is</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">data</span> <span class="o">=</span> <span class="n">paddle</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">data</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
+<span class="o">...</span>
+<span class="n">out</span> <span class="o">=</span> <span class="n">paddle</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">fc</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
+
+<span class="n">parameters</span> <span class="o">=</span> <span class="n">paddle</span><span class="o">.</span><span class="n">parameters</span><span class="o">.</span><span class="n">create</span><span class="p">(</span><span class="n">out</span><span class="p">)</span>
+
+<span class="n">parameter_names</span> <span class="o">=</span> <span class="n">parameters</span><span class="o">.</span><span class="n">names</span><span class="p">()</span>
+<span class="n">fc_mat</span> <span class="o">=</span> <span class="n">parameters</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;fc&#39;</span><span class="p">)</span>
+<span class="k">print</span> <span class="n">fc_mat</span>
+</pre></div>
+</div>
+<dl class="method">
+<dt>
+<code class="descname">keys</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>keys are the names of each 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">Returns:</th><td class="field-body">list of parameter name</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Return type:</th><td class="field-body">list</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt>
+<code class="descname">names</code><span class="sig-paren">(</span><span class="sig-paren">)</span></dt>
+<dd><p>names of each 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">Returns:</th><td class="field-body">list of parameter name</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Return type:</th><td class="field-body">list</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt>
+<code class="descname">has_key</code><span class="sig-paren">(</span><em>key</em><span class="sig-paren">)</span></dt>
+<dd><p>has_key return true if there are such parameter name == key</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>key</strong> (<em>basestring</em>) &#8211; Parameter name</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">True if contains such key</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt>
+<code class="descname">get_shape</code><span class="sig-paren">(</span><em>key</em><span class="sig-paren">)</span></dt>
+<dd><p>get shape of the 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>key</strong> (<em>basestring</em>) &#8211; parameter name</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">parameter&#8217;s shape</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body">tuple</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt>
+<code class="descname">get</code><span class="sig-paren">(</span><em>parameter_name</em><span class="sig-paren">)</span></dt>
+<dd><p>Get parameter by 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">Note:</th><td class="field-body">It will always copy the parameter from C++ side.</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Parameters:</th><td class="field-body"><strong>parameter_name</strong> (<em>basestring</em>) &#8211; parameter name</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">The parameter matrix.</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Return type:</th><td class="field-body">np.ndarray</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt>
+<code class="descname">get_grad</code><span class="sig-paren">(</span><em>key</em><span class="sig-paren">)</span></dt>
+<dd><p>Get grandient by 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">Note:</th><td class="field-body">It will always copy the parameter from C++ side.</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Parameters:</th><td class="field-body"><strong>key</strong> (<em>basestring</em>) &#8211; parameter name</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">The grandient matrix.</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Return type:</th><td class="field-body">np.ndarray</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt>
+<code class="descname">set</code><span class="sig-paren">(</span><em>parameter_name</em>, <em>value</em><span class="sig-paren">)</span></dt>
+<dd><p>Set parameter by parameter name &amp; matrix.</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 simple">
+<li><strong>parameter_name</strong> (<em>basestring</em>) &#8211; parameter name</li>
+<li><strong>value</strong> (<em>np.ndarray</em>) &#8211; parameter matrix</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">Nothing.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt>
+<code class="descname">append_gradient_machine</code><span class="sig-paren">(</span><em>gradient_machine</em><span class="sig-paren">)</span></dt>
+<dd><p>append gradient machine to parameters. This method is used internally in
+Trainer.train.</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>gradient_machine</strong> (<em>api.GradientMachine</em>) &#8211; PaddlePaddle C++ GradientMachine object.</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"></td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt>
+<code class="descname">serialize</code><span class="sig-paren">(</span><em>name</em>, <em>f</em><span class="sig-paren">)</span></dt>
+<dd><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 simple">
+<li><strong>name</strong> &#8211; </li>
+<li><strong>f</strong> (<em>file</em>) &#8211; </li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"></p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt>
+<code class="descname">deserialize</code><span class="sig-paren">(</span><em>name</em>, <em>f</em><span class="sig-paren">)</span></dt>
+<dd><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 simple">
+<li><strong>name</strong> &#8211; </li>
+<li><strong>f</strong> (<em>file</em>) &#8211; </li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"></p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt>
+<code class="descname">to_tar</code><span class="sig-paren">(</span><em>f</em><span class="sig-paren">)</span></dt>
+<dd><p>Save parameters to a tar file.</p>
+<dl class="docutils">
+<dt>WARNING: You should use <cite>paddle.v2.trainer.SGD.save_parameter_to_tar(f)</cite></dt>
+<dd>to save parameters most of the time. Otherwise, some settings such
+as model average will not take effect.</dd>
+</dl>
+<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>f</strong> (<em>file</em>) &#8211; </td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"></td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="staticmethod">
+<dt>
+<em class="property">static </em><code class="descname">from_tar</code><span class="sig-paren">(</span><em>f</em><span class="sig-paren">)</span></dt>
+<dd><p>Create a <cite>Parameters</cite> object from the given file. And
+the <cite>Parameters</cite> only contains the parameters in this
+file. It is adapted the parameters are same in the
+defined network and the given file. For example, it
+can be used in the inference.</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>f</strong> (<em>tar file</em>) &#8211; the initialized model file.</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">A Parameters object.</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body">Parameters.</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt>
+<code class="descname">init_from_tar</code><span class="sig-paren">(</span><em>f</em>, <em>exclude_params=[]</em><span class="sig-paren">)</span></dt>
+<dd><p>Different from <cite>from_tar</cite>, this interface can be used to
+init partial network parameters from another saved model.</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 simple">
+<li><strong>f</strong> (<em>tar file</em>) &#8211; the initialized model file.</li>
+<li><strong>exclude_params</strong> (<em>list of strings</em>) &#8211; the names of parameters that should
+not be initialized from the model file.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">Nothing.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</dd></dl>
+
+</div>
+<div class="section" id="trainer">
+<h2>Trainer<a class="headerlink" href="#trainer" title="Permalink to this headline">¶</a></h2>
+<p>Module Trainer</p>
+<dl class="class">
+<dt>
+<em class="property">class </em><code class="descclassname">paddle.v2.trainer.</code><code class="descname">SGD</code><span class="sig-paren">(</span><em>cost</em>, <em>parameters</em>, <em>update_equation</em>, <em>extra_layers=None</em>, <em>is_local=True</em>, <em>pserver_spec=None</em>, <em>use_etcd=True</em><span class="sig-paren">)</span></dt>
+<dd><p>Simple SGD Trainer.
+SGD Trainer combines data reader, network topolopy and update_equation together
+to train/test a neural network.</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>cost</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Target cost that neural network should be optimized.</li>
+<li><strong>parameters</strong> (<em>paddle.v2.parameters.Parameters</em>) &#8211; The parameters dictionary.</li>
+<li><strong>update_equation</strong> (<em>paddle.v2.optimizer.Optimizer</em>) &#8211; The optimizer object.</li>
+<li><strong>extra_layers</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Some layers in the neural network graph are not
+in the path of cost layer.</li>
+<li><strong>is_local</strong> (<em>bool</em>) &#8211; Whether trainning locally</li>
+<li><strong>pserver_spec</strong> (<em>string</em>) &#8211; comma string for pserver location,
+eg:127.10.0.10:3000,127.10.0.11:3000,
+and this parameter is only used for fault
+tolerant mode cluster training.</li>
+<li><strong>use_etcd</strong> &#8211; Whether using etcd pserver.</li>
+<li><strong>use_etcd</strong> &#8211; bool</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+<dl class="method">
+<dt>
+<code class="descname">train</code><span class="sig-paren">(</span><em>reader</em>, <em>num_passes=1</em>, <em>event_handler=None</em>, <em>feeding=None</em><span class="sig-paren">)</span></dt>
+<dd><p>Training method. Will train num_passes of input data.</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 simple">
+<li><strong>reader</strong> (<em>collections.Iterable</em>) &#8211; A reader that reads and yeilds data items. Usually we use a
+batched reader to do mini-batch training.</li>
+<li><strong>num_passes</strong> &#8211; The total train passes.</li>
+<li><strong>event_handler</strong> (<em>(</em><em>BaseEvent</em><em>) </em><em>=&gt; None</em>) &#8211; Event handler. A method will be invoked when event
+occurred.</li>
+<li><strong>feeding</strong> (<em>dict|list</em>) &#8211; Feeding is a map of neural network input name and array
+index that reader returns.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"></p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt>
+<code class="descname">test</code><span class="sig-paren">(</span><em>reader</em>, <em>feeding=None</em><span class="sig-paren">)</span></dt>
+<dd><p>Testing method. Will test input data.</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 simple">
+<li><strong>reader</strong> (<em>collections.Iterable</em>) &#8211; A batch reader that reads and yeilds data items,
+it should be a paddle.v2.batch.</li>
+<li><strong>feeding</strong> (<em>dict</em>) &#8211; Feeding is a map of neural network input name and array
+index that reader returns.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"></p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</dd></dl>
+
+</div>
+<div class="section" id="event">
+<h2>Event<a class="headerlink" href="#event" title="Permalink to this headline">¶</a></h2>
+<p>Testing and training events.</p>
+<p>There are:</p>
+<ul class="simple">
+<li>TestResult</li>
+<li>BeginIteration</li>
+<li>EndIteration</li>
+<li>BeginPass</li>
+<li>EndPass</li>
+</ul>
+<dl class="class">
+<dt>
+<em class="property">class </em><code class="descclassname">paddle.v2.event.</code><code class="descname">TestResult</code><span class="sig-paren">(</span><em>evaluator</em>, <em>cost</em><span class="sig-paren">)</span></dt>
+<dd><p>Result that trainer.test return.</p>
+</dd></dl>
+
+<dl class="class">
+<dt>
+<em class="property">class </em><code class="descclassname">paddle.v2.event.</code><code class="descname">BeginPass</code><span class="sig-paren">(</span><em>pass_id</em><span class="sig-paren">)</span></dt>
+<dd><p>Event On One Pass Training Start.</p>
+</dd></dl>
+
+<dl class="class">
+<dt>
+<em class="property">class </em><code class="descclassname">paddle.v2.event.</code><code class="descname">EndPass</code><span class="sig-paren">(</span><em>pass_id</em>, <em>evaluator</em>, <em>gm</em><span class="sig-paren">)</span></dt>
+<dd><p>Event On One Pass Training Complete.
+To get the output of a specific layer, add &#8220;event.gm.getLayerOutputs(&#8216;predict_layer&#8217;)&#8221;
+in your event_handler call back</p>
+</dd></dl>
+
+<dl class="class">
+<dt>
+<em class="property">class </em><code class="descclassname">paddle.v2.event.</code><code class="descname">BeginIteration</code><span class="sig-paren">(</span><em>pass_id</em>, <em>batch_id</em><span class="sig-paren">)</span></dt>
+<dd><p>Event On One Batch Training Start.</p>
+</dd></dl>
+
+<dl class="class">
+<dt>
+<em class="property">class </em><code class="descclassname">paddle.v2.event.</code><code class="descname">EndForwardBackward</code><span class="sig-paren">(</span><em>pass_id</em>, <em>batch_id</em>, <em>gm</em><span class="sig-paren">)</span></dt>
+<dd><p>Event On One Batch ForwardBackward Complete.</p>
+</dd></dl>
+
+<dl class="class">
+<dt>
+<em class="property">class </em><code class="descclassname">paddle.v2.event.</code><code class="descname">EndIteration</code><span class="sig-paren">(</span><em>pass_id</em>, <em>batch_id</em>, <em>cost</em>, <em>evaluator</em>, <em>gm</em><span class="sig-paren">)</span></dt>
+<dd><p>Event On One Batch Training Complete.
+To get the output of a specific layer, add &#8220;event.gm.getLayerOutputs(&#8216;predict_layer&#8217;)&#8221;
+in your event_handler call back</p>
+</dd></dl>
+
+</div>
+<div class="section" id="inference">
+<h2>Inference<a class="headerlink" href="#inference" title="Permalink to this headline">¶</a></h2>
+<dl class="function">
+<dt>
+<code class="descclassname">paddle.v2.</code><code class="descname">infer</code><span class="sig-paren">(</span><em>output_layer</em>, <em>parameters</em>, <em>input</em>, <em>feeding=None</em>, <em>field='value'</em><span class="sig-paren">)</span></dt>
+<dd><p>Infer a neural network by given neural network output and parameters.  The
+user should pass either a batch of input data or reader method.</p>
+<p>Example usage for sinlge output_layer:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">result</span> <span class="o">=</span> <span class="n">paddle</span><span class="o">.</span><span class="n">infer</span><span class="p">(</span><span class="n">output_layer</span><span class="o">=</span><span class="n">prediction</span><span class="p">,</span>
+                      <span class="n">parameters</span><span class="o">=</span><span class="n">parameters</span><span class="p">,</span>
+                      <span class="nb">input</span><span class="o">=</span><span class="n">SomeData</span><span class="p">)</span>
+<span class="k">print</span> <span class="n">result</span>
+</pre></div>
+</div>
+<p>Example usage for multiple outout_layers and fields:</p>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">result</span> <span class="o">=</span> <span class="n">paddle</span><span class="o">.</span><span class="n">infer</span><span class="p">(</span><span class="n">output_layer</span><span class="o">=</span><span class="p">[</span><span class="n">prediction1</span><span class="p">,</span> <span class="n">prediction2</span><span class="p">],</span>
+                      <span class="n">parameters</span><span class="o">=</span><span class="n">parameters</span><span class="p">,</span>
+                      <span class="nb">input</span><span class="o">=</span><span class="n">SomeData</span><span class="p">,</span>
+                      <span class="n">field</span><span class="o">=</span><span class="p">[</span><span class="nb">id</span><span class="p">,</span> <span class="n">value</span><span class="p">]])</span>
+<span class="k">print</span> <span class="n">result</span>
+</pre></div>
+</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 simple">
+<li><strong>output_layer</strong> (<em>paddle.v2.config_base.Layer</em><em> or </em><em>a list of
+paddle.v2.config_base.Layer</em>) &#8211; output of the neural network that would be inferred</li>
+<li><strong>parameters</strong> (<em>paddle.v2.parameters.Parameters</em>) &#8211; parameters of the neural network.</li>
+<li><strong>input</strong> (<em>collections.Iterable</em>) &#8211; input data batch. Should be a python iterable object, and each
+element is the data batch.</li>
+<li><strong>feeding</strong> &#8211; Reader dictionary. Default could generate from input
+value.</li>
+<li><strong>field</strong> (<em>str</em>) &#8211; The prediction field. It should in [<cite>value</cite>, <cite>id</cite>, <cite>prob</cite>].
+<cite>value</cite> and <cite>prob</cite> mean return the prediction probabilities,
+<cite>id</cite> means return the prediction labels. Default is <cite>value</cite>.
+Note that <cite>prob</cite> only used when output_layer is beam_search
+or max_id.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">The prediction result. If there are multiple outout_layers and fields,
+the return order is outout_layer1.field1, outout_layer2.field1, ...,
+outout_layer1.field2, outout_layer2.field2 ...</p>
+</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">numpy.ndarray</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+</div>
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