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API API
=== ===
Model Config API
----------------
.. toctree:: .. toctree::
:maxdepth: 1 :maxdepth: 1
v2/model_configs.rst v2/model_configs.rst
Data API
--------
.. toctree::
:maxdepth: 1
v2/data.rst v2/data.rst
Train API
---------
.. toctree::
:maxdepth: 1
v2/run_logic.rst v2/run_logic.rst
===========
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:
Parameter Attribute
===================
.. automodule:: paddle.v2.attr
:members:
:noindex:
.. _api_v2.layer:
======
Layers
======
Data layer
===========
.. _api_v2.layer_data:
data
----
.. automodule:: paddle.v2.layer
:members: data
:noindex:
Fully Connected Layers
======================
.. _api_v2.layer_fc:
fc
--
.. automodule:: paddle.v2.layer
:members: fc
:noindex:
selective_fc
------------
.. automodule:: paddle.v2.layer
:members: selective_fc
:noindex:
Conv Layers
===========
conv_operator
-------------
.. automodule:: paddle.v2.layer
:members: conv_operator
:noindex:
conv_projection
---------------
.. automodule:: paddle.v2.layer
:members: conv_projection
:noindex:
conv_shift
----------
.. automodule:: paddle.v2.layer
:members: conv_shift
:noindex:
img_conv
--------
.. automodule:: paddle.v2.layer
:members: img_conv
:noindex:
.. _api_v2.layer_context_projection:
context_projection
------------------
.. automodule:: paddle.v2.layer
:members: context_projection
:noindex:
Image Pooling Layer
===================
img_pool
--------
.. automodule:: paddle.v2.layer
:members: img_pool
:noindex:
spp
---
.. automodule:: paddle.v2.layer
:members: spp
:noindex:
maxout
------
.. automodule:: paddle.v2.layer
:members: maxout
:noindex:
Norm Layer
==========
img_cmrnorm
-----------
.. automodule:: paddle.v2.layer
:members: img_cmrnorm
:noindex:
batch_norm
----------
.. automodule:: paddle.v2.layer
:members: batch_norm
:noindex:
sum_to_one_norm
---------------
.. automodule:: paddle.v2.layer
:members: sum_to_one_norm
:noindex:
Recurrent Layers
================
recurrent
---------
.. automodule:: paddle.v2.layer
:members: recurrent
:noindex:
lstmemory
---------
.. automodule:: paddle.v2.layer
:members: lstmemory
:noindex:
grumemory
---------
.. automodule:: paddle.v2.layer
:members: grumemory
:noindex:
Recurrent Layer Group
=====================
memory
------
.. automodule:: paddle.v2.layer
:members: memory
:noindex:
recurrent_group
---------------
.. automodule:: paddle.v2.layer
:members: recurrent_group
:noindex:
lstm_step
---------
.. automodule:: paddle.v2.layer
:members: lstm_step
:noindex:
gru_step
--------
.. automodule:: paddle.v2.layer
:members: gru_step
:noindex:
beam_search
------------
.. automodule:: paddle.v2.layer
:members: beam_search
:noindex:
get_output
----------
.. automodule:: paddle.v2.layer
:members: get_output
:noindex:
Mixed Layer
===========
.. _api_v2.layer_mixed:
mixed
-----
.. automodule:: paddle.v2.layer
:members: mixed
:noindex:
.. _api_v2.layer_embedding:
embedding
---------
.. automodule:: paddle.v2.layer
:members: embedding
:noindex:
scaling_projection
------------------
.. automodule:: paddle.v2.layer
:members: scaling_projection
:noindex:
dotmul_projection
-----------------
.. automodule:: paddle.v2.layer
:members: dotmul_projection
:noindex:
dotmul_operator
---------------
.. automodule:: paddle.v2.layer
:members: dotmul_operator
:noindex:
full_matrix_projection
----------------------
.. automodule:: paddle.v2.layer
:members: full_matrix_projection
:noindex:
identity_projection
-------------------
.. automodule:: paddle.v2.layer
:members: identity_projection
:noindex:
table_projection
----------------
.. automodule:: paddle.v2.layer
:members: table_projection
:noindex:
trans_full_matrix_projection
----------------------------
.. automodule:: paddle.v2.layer
:members: trans_full_matrix_projection
:noindex:
Aggregate Layers
================
.. _api_v2.layer_pooling:
pooling
-------
.. automodule:: paddle.v2.layer
:members: pooling
:noindex:
.. _api_v2.layer_last_seq:
last_seq
--------
.. automodule:: paddle.v2.layer
:members: last_seq
:noindex:
.. _api_v2.layer_first_seq:
first_seq
---------
.. automodule:: paddle.v2.layer
:members: first_seq
:noindex:
concat
------
.. automodule:: paddle.v2.layer
:members: concat
:noindex:
seq_concat
----------
.. automodule:: paddle.v2.layer
:members: seq_concat
:noindex:
Reshaping Layers
================
block_expand
------------
.. automodule:: paddle.v2.layer
:members: block_expand
:noindex:
.. _api_v2.layer_expand:
expand
------
.. automodule:: paddle.v2.layer
:members: expand
:noindex:
repeat
------
.. automodule:: paddle.v2.layer
:members: repeat
:noindex:
rotate
------
.. automodule:: paddle.v2.layer
:members: rotate
:noindex:
seq_reshape
-----------
.. automodule:: paddle.v2.layer
:members: seq_reshape
:noindex:
Math Layers
===========
addto
-----
.. automodule:: paddle.v2.layer
:members: addto
:noindex:
linear_comb
-----------
.. automodule:: paddle.v2.layer
:members: linear_comb
:noindex:
interpolation
-------------
.. automodule:: paddle.v2.layer
:members: interpolation
:noindex:
bilinear_interp
---------------
.. automodule:: paddle.v2.layer
:members: bilinear_interp
:noindex:
power
-----
.. automodule:: paddle.v2.layer
:members: power
:noindex:
scaling
-------
.. automodule:: paddle.v2.layer
:members: scaling
:noindex:
slope_intercept
---------------
.. automodule:: paddle.v2.layer
:members: slope_intercept
:noindex:
tensor
------
.. automodule:: paddle.v2.layer
:members: tensor
:noindex:
.. _api_v2.layer_cos_sim:
cos_sim
-------
.. automodule:: paddle.v2.layer
:members: cos_sim
:noindex:
trans
-----
.. automodule:: paddle.v2.layer
:members: trans
:noindex:
Sampling Layers
===============
maxid
-----
.. automodule:: paddle.v2.layer
:members: maxid
:noindex:
sampling_id
-----------
.. automodule:: paddle.v2.layer
:members: sampling_id
:noindex:
Slicing and Joining Layers
==========================
pad
----
.. automodule:: paddle.v2.layer
:members: pad
:noindex:
.. _api_v2.layer_costs:
Cost Layers
===========
cross_entropy_cost
------------------
.. automodule:: paddle.v2.layer
:members: cross_entropy_cost
:noindex:
cross_entropy_with_selfnorm_cost
--------------------------------
.. automodule:: paddle.v2.layer
:members: cross_entropy_with_selfnorm_cost
:noindex:
multi_binary_label_cross_entropy_cost
-------------------------------------
.. automodule:: paddle.v2.layer
:members: multi_binary_label_cross_entropy_cost
:noindex:
huber_cost
----------
.. automodule:: paddle.v2.layer
:members: huber_cost
:noindex:
lambda_cost
-----------
.. automodule:: paddle.v2.layer
:members: lambda_cost
:noindex:
rank_cost
---------
.. automodule:: paddle.v2.layer
:members: rank_cost
:noindex:
sum_cost
---------
.. automodule:: paddle.v2.layer
:members: sum_cost
:noindex:
crf
---
.. automodule:: paddle.v2.layer
:members: crf
:noindex:
crf_decoding
------------
.. automodule:: paddle.v2.layer
:members: crf_decoding
:noindex:
ctc
---
.. automodule:: paddle.v2.layer
:members: ctc
:noindex:
warp_ctc
--------
.. automodule:: paddle.v2.layer
:members: warp_ctc
:noindex:
nce
---
.. automodule:: paddle.v2.layer
:members: nce
:noindex:
hsigmoid
---------
.. automodule:: paddle.v2.layer
:members: hsigmoid
:noindex:
Check Layer
============
eos
---
.. automodule:: paddle.v2.layer
:members: eos
:noindex:
========
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:
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_attention
----------------
.. automodule:: paddle.v2.networks
:members: simple_attention
:noindex:
Miscs
=====
dropout_layer
--------------
.. automodule:: paddle.v2.networks
:members: dropout_layer
:noindex:
.. _api_v2.optimizer:
==========
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:
=======
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:
================ ========
Data Related API Datasets
================ ========
#########
DataTypes DataTypes
######### =========
.. automodule:: paddle.v2.data_type .. automodule:: paddle.v2.data_type
:members: :members:
:noindex:
##########
DataFeeder DataFeeder
########## ==========
.. automodule:: paddle.v2.data_feeder .. automodule:: paddle.v2.data_feeder
:members: :members:
:noindex:
######
Reader Reader
###### ======
.. automodule:: paddle.v2.reader .. automodule:: paddle.v2.reader
:members: :members:
:noindex:
.. automodule:: paddle.v2.reader.creator .. automodule:: paddle.v2.reader.creator
:members: :members:
:noindex:
#########
minibatch minibatch
######### =========
.. automodule:: paddle.v2.minibatch .. automodule:: paddle.v2.minibatch
:members: :members:
:noindex:
#######
Dataset Dataset
####### =======
.. automodule:: paddle.v2.dataset .. automodule:: paddle.v2.dataset
:members: :members:
:noindex:
mnist mnist
+++++ +++++
.. automodule:: paddle.v2.dataset.mnist .. automodule:: paddle.v2.dataset.mnist
:members: :members:
:noindex:
cifar cifar
...@@ -54,40 +55,54 @@ cifar ...@@ -54,40 +55,54 @@ cifar
.. automodule:: paddle.v2.dataset.cifar .. automodule:: paddle.v2.dataset.cifar
:members: :members:
:noindex:
conll05 conll05
+++++++ +++++++
.. automodule:: paddle.v2.dataset.conll05 .. automodule:: paddle.v2.dataset.conll05
:members: :members:
:noindex:
imdb imdb
++++ ++++
.. automodule:: paddle.v2.dataset.imdb .. automodule:: paddle.v2.dataset.imdb
:members: :members:
:noindex:
imikolov imikolov
++++++++ ++++++++
.. automodule:: paddle.v2.dataset.imikolov .. automodule:: paddle.v2.dataset.imikolov
:members: :members:
:noindex:
movielens movielens
+++++++++ +++++++++
.. automodule:: paddle.v2.dataset.movielens .. automodule:: paddle.v2.dataset.movielens
:members: :members:
:noindex:
sentiment sentiment
+++++++++ +++++++++
.. automodule:: paddle.v2.dataset.sentiment .. automodule:: paddle.v2.dataset.sentiment
:members: :members:
:noindex:
uci_housing uci_housing
+++++++++++ +++++++++++
.. automodule:: paddle.v2.dataset.uci_housing .. automodule:: paddle.v2.dataset.uci_housing
:members: :members:
:noindex:
wmt14
+++++
.. automodule:: paddle.v2.dataset.uci_housing
:members:
:noindex:
######################### Model Configuration
Configuration Related API ===================
#########################
.. toctree::
====== :maxdepth: 1
Layers
====== config/activation.rst
config/layer.rst
.. automodule:: paddle.v2.layer config/optimizer.rst
:members: config/pooling.rst
config/networks.rst
config/attr.rst
==========
Attributes
==========
.. automodule:: paddle.v2.attr
:members:
===========
Activations
===========
.. automodule:: paddle.v2.activation
:members:
========
Poolings
========
.. automodule:: paddle.v2.pooling
:members:
========
Networks
========
.. automodule:: paddle.v2.networks
:members:
==========
Optimizers
==========
.. automodule:: paddle.v2.optimizer
:members:
########### ======================
Trainer API Training and Inference
########### ======================
==========
Parameters Parameters
========== ==========
.. automodule:: paddle.v2.parameters .. automodule:: paddle.v2.parameters
:members: :noindex:
=======
Trainer Trainer
======= =======
.. automodule:: paddle.v2.trainer .. automodule:: paddle.v2.trainer
:members: :noindex:
=====
Event Event
===== =====
.. automodule:: paddle.v2.event .. automodule:: paddle.v2.event
:members: :noindex:
=========
Inference Inference
========= =========
.. autofunction:: paddle.v2.infer .. autofunction:: paddle.v2.infer
:noindex:
...@@ -33,7 +33,7 @@ ...@@ -33,7 +33,7 @@
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<link rel="search" title="Search" href="../search.html"/> <link rel="search" title="Search" href="../search.html"/>
<link rel="top" title="PaddlePaddle documentation" href="../index.html"/> <link rel="top" title="PaddlePaddle documentation" href="../index.html"/>
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...@@ -166,12 +174,7 @@ ...@@ -166,12 +174,7 @@
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...@@ -201,30 +204,13 @@ ...@@ -201,30 +204,13 @@
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...@@ -264,9 +272,9 @@ None if user don&#8217;t care.</li> ...@@ -264,9 +272,9 @@ 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>fc_act</strong> (<em>BaseActivation</em>) &#8211; fc layer activation type. None means tanh</li>
<li><strong>pool_bias_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ParameterAttribute" title="paddle.trainer_config_helpers.attrs.ParameterAttribute"><em>ParameterAttribute</em></a><em> or </em><em>None.</em>) &#8211; pooling layer bias attr. None if don&#8217;t care. <li><strong>pool_bias_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ParameterAttribute" title="paddle.trainer_config_helpers.attrs.ParameterAttribute"><em>ParameterAttribute</em></a><em> or </em><em>None.</em>) &#8211; pooling layer bias attr. None if don&#8217;t care.
False if no bias.</li> False if no bias.</li>
<li><strong>fc_attr</strong> (<a class="reference internal" href="../../v2/model_configs.html#paddle.v2.attr.ExtraLayerAttribute" title="paddle.v2.attr.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; fc layer extra attribute.</li> <li><strong>fc_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ExtraLayerAttribute" title="paddle.trainer_config_helpers.attrs.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; fc layer extra attribute.</li>
<li><strong>context_attr</strong> (<a class="reference internal" href="../../v2/model_configs.html#paddle.v2.attr.ExtraLayerAttribute" title="paddle.v2.attr.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; context projection layer extra attribute.</li> <li><strong>context_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ExtraLayerAttribute" title="paddle.trainer_config_helpers.attrs.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; context projection layer extra attribute.</li>
<li><strong>pool_attr</strong> (<a class="reference internal" href="../../v2/model_configs.html#paddle.v2.attr.ExtraLayerAttribute" title="paddle.v2.attr.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; pooling layer extra attribute.</li> <li><strong>pool_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ExtraLayerAttribute" title="paddle.trainer_config_helpers.attrs.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; pooling layer extra attribute.</li>
</ul> </ul>
</td> </td>
</tr> </tr>
...@@ -312,9 +320,9 @@ None if user don&#8217;t care.</li> ...@@ -312,9 +320,9 @@ 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>fc_act</strong> (<em>BaseActivation</em>) &#8211; fc layer activation type. None means tanh</li>
<li><strong>pool_bias_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ParameterAttribute" title="paddle.trainer_config_helpers.attrs.ParameterAttribute"><em>ParameterAttribute</em></a><em> or </em><em>None.</em>) &#8211; pooling layer bias attr. None if don&#8217;t care. <li><strong>pool_bias_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ParameterAttribute" title="paddle.trainer_config_helpers.attrs.ParameterAttribute"><em>ParameterAttribute</em></a><em> or </em><em>None.</em>) &#8211; pooling layer bias attr. None if don&#8217;t care.
False if no bias.</li> False if no bias.</li>
<li><strong>fc_attr</strong> (<a class="reference internal" href="../../v2/model_configs.html#paddle.v2.attr.ExtraLayerAttribute" title="paddle.v2.attr.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; fc layer extra attribute.</li> <li><strong>fc_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ExtraLayerAttribute" title="paddle.trainer_config_helpers.attrs.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; fc layer extra attribute.</li>
<li><strong>context_attr</strong> (<a class="reference internal" href="../../v2/model_configs.html#paddle.v2.attr.ExtraLayerAttribute" title="paddle.v2.attr.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; context projection layer extra attribute.</li> <li><strong>context_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ExtraLayerAttribute" title="paddle.trainer_config_helpers.attrs.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; context projection layer extra attribute.</li>
<li><strong>pool_attr</strong> (<a class="reference internal" href="../../v2/model_configs.html#paddle.v2.attr.ExtraLayerAttribute" title="paddle.v2.attr.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; pooling layer extra attribute.</li> <li><strong>pool_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ExtraLayerAttribute" title="paddle.trainer_config_helpers.attrs.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; pooling layer extra attribute.</li>
</ul> </ul>
</td> </td>
</tr> </tr>
...@@ -363,7 +371,7 @@ False if no bias.</li> ...@@ -363,7 +371,7 @@ False if no bias.</li>
<li><strong>bn_layer_attr</strong> &#8211; ParameterAttribute.</li> <li><strong>bn_layer_attr</strong> &#8211; ParameterAttribute.</li>
<li><strong>pool_stride</strong> (<em>int</em>) &#8211; see img_pool_layer&#8217;s document.</li> <li><strong>pool_stride</strong> (<em>int</em>) &#8211; see img_pool_layer&#8217;s document.</li>
<li><strong>pool_padding</strong> (<em>int</em>) &#8211; see img_pool_layer&#8217;s document.</li> <li><strong>pool_padding</strong> (<em>int</em>) &#8211; see img_pool_layer&#8217;s document.</li>
<li><strong>pool_layer_attr</strong> (<a class="reference internal" href="../../v2/model_configs.html#paddle.v2.attr.ExtraLayerAttribute" title="paddle.v2.attr.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; see img_pool_layer&#8217;s document.</li> <li><strong>pool_layer_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ExtraLayerAttribute" title="paddle.trainer_config_helpers.attrs.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; see img_pool_layer&#8217;s document.</li>
</ul> </ul>
</td> </td>
</tr> </tr>
...@@ -438,10 +446,10 @@ False if no bias.</li> ...@@ -438,10 +446,10 @@ False if no bias.</li>
<li><strong>num_channel</strong> (<em>int</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> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ParameterAttribute" title="paddle.trainer_config_helpers.attrs.ParameterAttribute"><em>ParameterAttribute</em></a>) &#8211; see img_conv_layer for details</li> <li><strong>param_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ParameterAttribute" title="paddle.trainer_config_helpers.attrs.ParameterAttribute"><em>ParameterAttribute</em></a>) &#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>shared_bias</strong> (<em>bool</em>) &#8211; see img_conv_layer for details</li>
<li><strong>conv_layer_attr</strong> (<a class="reference internal" href="../../v2/model_configs.html#paddle.v2.attr.ExtraLayerAttribute" title="paddle.v2.attr.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; see img_conv_layer for details</li> <li><strong>conv_layer_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ExtraLayerAttribute" title="paddle.trainer_config_helpers.attrs.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#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_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_padding</strong> (<em>int</em>) &#8211; see img_pool_layer for details</li>
<li><strong>pool_layer_attr</strong> (<a class="reference internal" href="../../v2/model_configs.html#paddle.v2.attr.ExtraLayerAttribute" title="paddle.v2.attr.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; see img_pool_layer for details</li> <li><strong>pool_layer_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ExtraLayerAttribute" title="paddle.trainer_config_helpers.attrs.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; see img_pool_layer for details</li>
</ul> </ul>
</td> </td>
</tr> </tr>
...@@ -525,9 +533,9 @@ for more details about LSTM. The link goes as follows: ...@@ -525,9 +533,9 @@ for more details about LSTM. The link goes as follows:
False means no bias, None means default bias.</li> False means no bias, None means default bias.</li>
<li><strong>lstm_bias_attr</strong> (<em>ParameterAttribute|False</em>) &#8211; bias parameter attribute of lstm layer. <li><strong>lstm_bias_attr</strong> (<em>ParameterAttribute|False</em>) &#8211; bias parameter attribute of lstm layer.
False means no bias, None means default bias.</li> False means no bias, None means default bias.</li>
<li><strong>mixed_layer_attr</strong> (<a class="reference internal" href="../../v2/model_configs.html#paddle.v2.attr.ExtraLayerAttribute" title="paddle.v2.attr.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; mixed layer&#8217;s extra attribute.</li> <li><strong>mixed_layer_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ExtraLayerAttribute" title="paddle.trainer_config_helpers.attrs.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; mixed layer&#8217;s extra attribute.</li>
<li><strong>lstm_layer_attr</strong> (<a class="reference internal" href="../../v2/model_configs.html#paddle.v2.attr.ExtraLayerAttribute" title="paddle.v2.attr.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; lstm layer&#8217;s extra attribute.</li> <li><strong>lstm_layer_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ExtraLayerAttribute" title="paddle.trainer_config_helpers.attrs.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; lstm layer&#8217;s extra attribute.</li>
<li><strong>get_output_layer_attr</strong> (<a class="reference internal" href="../../v2/model_configs.html#paddle.v2.attr.ExtraLayerAttribute" title="paddle.v2.attr.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; get output layer&#8217;s extra attribute.</li> <li><strong>get_output_layer_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ExtraLayerAttribute" title="paddle.trainer_config_helpers.attrs.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; get output layer&#8217;s extra attribute.</li>
</ul> </ul>
</td> </td>
</tr> </tr>
...@@ -586,9 +594,9 @@ full_matrix_projection must be included before lstmemory_unit is called.</p> ...@@ -586,9 +594,9 @@ full_matrix_projection must be included before lstmemory_unit is called.</p>
False means no bias, None means default bias.</li> False means no bias, None means default bias.</li>
<li><strong>lstm_bias_attr</strong> (<em>ParameterAttribute|False</em>) &#8211; bias parameter attribute of lstm layer. <li><strong>lstm_bias_attr</strong> (<em>ParameterAttribute|False</em>) &#8211; bias parameter attribute of lstm layer.
False means no bias, None means default bias.</li> False means no bias, None means default bias.</li>
<li><strong>mixed_layer_attr</strong> (<a class="reference internal" href="../../v2/model_configs.html#paddle.v2.attr.ExtraLayerAttribute" title="paddle.v2.attr.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; mixed layer&#8217;s extra attribute.</li> <li><strong>mixed_layer_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ExtraLayerAttribute" title="paddle.trainer_config_helpers.attrs.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; mixed layer&#8217;s extra attribute.</li>
<li><strong>lstm_layer_attr</strong> (<a class="reference internal" href="../../v2/model_configs.html#paddle.v2.attr.ExtraLayerAttribute" title="paddle.v2.attr.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; lstm layer&#8217;s extra attribute.</li> <li><strong>lstm_layer_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ExtraLayerAttribute" title="paddle.trainer_config_helpers.attrs.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; lstm layer&#8217;s extra attribute.</li>
<li><strong>get_output_layer_attr</strong> (<a class="reference internal" href="../../v2/model_configs.html#paddle.v2.attr.ExtraLayerAttribute" title="paddle.v2.attr.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; get output layer&#8217;s extra attribute.</li> <li><strong>get_output_layer_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ExtraLayerAttribute" title="paddle.trainer_config_helpers.attrs.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; get output layer&#8217;s extra attribute.</li>
</ul> </ul>
</td> </td>
</tr> </tr>
...@@ -631,8 +639,8 @@ means default bias.</li> ...@@ -631,8 +639,8 @@ means default bias.</li>
<li><strong>act</strong> (<em>BaseActivation</em>) &#8211; lstm final activiation type</li> <li><strong>act</strong> (<em>BaseActivation</em>) &#8211; lstm final activiation type</li>
<li><strong>gate_act</strong> (<em>BaseActivation</em>) &#8211; lstm gate activiation type</li> <li><strong>gate_act</strong> (<em>BaseActivation</em>) &#8211; lstm gate activiation type</li>
<li><strong>state_act</strong> (<em>BaseActivation</em>) &#8211; lstm state activiation type.</li> <li><strong>state_act</strong> (<em>BaseActivation</em>) &#8211; lstm state activiation type.</li>
<li><strong>mixed_layer_attr</strong> (<a class="reference internal" href="../../v2/model_configs.html#paddle.v2.attr.ExtraLayerAttribute" title="paddle.v2.attr.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; mixed layer&#8217;s extra attribute.</li> <li><strong>mixed_layer_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ExtraLayerAttribute" title="paddle.trainer_config_helpers.attrs.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; mixed layer&#8217;s extra attribute.</li>
<li><strong>lstm_cell_attr</strong> (<a class="reference internal" href="../../v2/model_configs.html#paddle.v2.attr.ExtraLayerAttribute" title="paddle.v2.attr.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; lstm layer&#8217;s extra attribute.</li> <li><strong>lstm_cell_attr</strong> (<a class="reference internal" href="attrs.html#paddle.trainer_config_helpers.attrs.ExtraLayerAttribute" title="paddle.trainer_config_helpers.attrs.ExtraLayerAttribute"><em>ExtraLayerAttribute</em></a>) &#8211; lstm layer&#8217;s extra attribute.</li>
</ul> </ul>
</td> </td>
</tr> </tr>
......
...@@ -152,9 +152,17 @@ ...@@ -152,9 +152,17 @@
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...@@ -152,9 +152,17 @@ ...@@ -152,9 +152,17 @@
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<li><a class="reference internal" href="#">Activation</a><ul>
<li><a class="reference internal" href="#abs">Abs</a></li>
<li><a class="reference internal" href="#exp">Exp</a></li>
<li><a class="reference internal" href="#identity">Identity</a></li>
<li><a class="reference internal" href="#linear">Linear</a></li>
<li><a class="reference internal" href="#log">Log</a></li>
<li><a class="reference internal" href="#square">Square</a></li>
<li><a class="reference internal" href="#sigmoid">Sigmoid</a></li>
<li><a class="reference internal" href="#softmax">Softmax</a></li>
<li><a class="reference internal" href="#sequencesoftmax">SequenceSoftmax</a></li>
<li><a class="reference internal" href="#relu">Relu</a></li>
<li><a class="reference internal" href="#brelu">BRelu</a></li>
<li><a class="reference internal" href="#softrelu">SoftRelu</a></li>
<li><a class="reference internal" href="#tanh">Tanh</a></li>
<li><a class="reference internal" href="#stanh">STanh</a></li>
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<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>
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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">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><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>
</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>
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<li><a class="reference internal" href="#">Pooling</a><ul>
<li><a class="reference internal" href="#basepool">BasePool</a></li>
<li><a class="reference internal" href="#avg">Avg</a></li>
<li><a class="reference internal" href="#max">Max</a></li>
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<div class="section" id="pooling">
<h1>Pooling<a class="headerlink" href="#pooling" title="Permalink to this headline"></a></h1>
<div class="section" id="basepool">
<h2>BasePool<a class="headerlink" href="#basepool" title="Permalink to this headline"></a></h2>
<dl class="class">
<dt>
<em class="property">class </em><code class="descclassname">paddle.v2.pooling.</code><code class="descname">BasePool</code><span class="sig-paren">(</span><em>name</em><span class="sig-paren">)</span></dt>
<dd><p>Base Pooling Type.
Note these pooling types are used for sequence input, not for images.
Each PoolingType contains one parameter:</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>name</strong> (<em>basestring</em>) &#8211; pooling layer type name used by paddle.</td>
</tr>
</tbody>
</table>
</dd></dl>
</div>
<div class="section" id="avg">
<h2>Avg<a class="headerlink" href="#avg" title="Permalink to this headline"></a></h2>
<dl class="class">
<dt>
<em class="property">class </em><code class="descclassname">paddle.v2.pooling.</code><code class="descname">Avg</code><span class="sig-paren">(</span><em>strategy='average'</em><span class="sig-paren">)</span></dt>
<dd><p>Average pooling.</p>
<p>Return the average values for each dimension in sequence or time steps.</p>
<div class="math">
\[sum(samples\_of\_a\_sequence)/sample\_num\]</div>
</dd></dl>
</div>
<div class="section" id="max">
<h2>Max<a class="headerlink" href="#max" title="Permalink to this headline"></a></h2>
<dl class="class">
<dt>
<em class="property">class </em><code class="descclassname">paddle.v2.pooling.</code><code class="descname">Max</code><span class="sig-paren">(</span><em>output_max_index=None</em><span class="sig-paren">)</span></dt>
<dd><p>Max pooling.</p>
<p>Return the very large values for each dimension in sequence or time steps.</p>
<div class="math">
\[max(samples\_of\_a\_sequence)\]</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>output_max_index</strong> (<em>bool|None</em>) &#8211; True if output sequence max index instead of max
value. None means use default value in proto.</td>
</tr>
</tbody>
</table>
</dd></dl>
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<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>
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<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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