From 3c86808eff528e2fdabf7b32562cb628057ae6ab Mon Sep 17 00:00:00 2001 From: Travis CI Date: Wed, 19 Oct 2016 07:23:50 +0000 Subject: [PATCH] Deploy to GitHub Pages: e1f57bfd66245f78d04f47d670cba5592d5734b2 --- doc/genindex.html | 64 +---------------- doc/objects.inv | Bin 155910 -> 155403 bytes doc/searchindex.js | 2 +- doc/source/gserver/layers/layer.html | 101 +++------------------------ 4 files changed, 13 insertions(+), 154 deletions(-) diff --git a/doc/genindex.html b/doc/genindex.html index 298b97189b..4109c73d0c 100644 --- a/doc/genindex.html +++ b/doc/genindex.html @@ -3167,10 +3167,6 @@ var _hmt = _hmt || []; -
paddle::AverageLayer::AverageLevel (C++ type) -
- -
paddle::AverageLayer::AverageStrategy (C++ type)
@@ -3179,10 +3175,6 @@ var _hmt = _hmt || []; -
paddle::AverageLayer::biases_ (C++ member) -
- -
paddle::AverageLayer::dataMtx_ (C++ member)
@@ -3203,14 +3195,6 @@ var _hmt = _hmt || []; -
paddle::AverageLayer::kNonSeq (C++ class) -
- - -
paddle::AverageLayer::kSeq (C++ class) -
- -
paddle::AverageLayer::kSum (C++ class)
@@ -3223,10 +3207,6 @@ var _hmt = _hmt || []; -
paddle::AverageLayer::type_ (C++ member) -
- -
paddle::AverageLayer::~AverageLayer (C++ function)
@@ -9670,6 +9650,8 @@ var _hmt = _hmt || [];
paddle::MatrixOffset::aRow_ (C++ member)
+ +
paddle::MatrixOffset::bCol_ (C++ member)
@@ -9682,8 +9664,6 @@ var _hmt = _hmt || [];
paddle::MatrixOffset::cCol_ (C++ member)
-
-
paddle::MatrixOffset::cRow_ (C++ member)
@@ -9777,10 +9757,6 @@ var _hmt = _hmt || []; -
paddle::MaxLayer::biases_ (C++ member) -
- -
paddle::MaxLayer::forward (C++ function)
@@ -9789,14 +9765,6 @@ var _hmt = _hmt || []; -
paddle::MaxLayer::kNonSeq (C++ class) -
- - -
paddle::MaxLayer::kSeq (C++ class) -
- -
paddle::MaxLayer::maxIndex_ (C++ member)
@@ -9805,14 +9773,6 @@ var _hmt = _hmt || []; -
paddle::MaxLayer::MaxLevel (C++ type) -
- - -
paddle::MaxLayer::type_ (C++ member) -
- -
paddle::MaxLayer::~MaxLayer (C++ function)
@@ -14385,10 +14345,6 @@ var _hmt = _hmt || []; -
paddle::SequenceLastInstanceLayer::biases_ (C++ member) -
- -
paddle::SequenceLastInstanceLayer::forward (C++ function)
@@ -14397,22 +14353,10 @@ var _hmt = _hmt || []; -
paddle::SequenceLastInstanceLayer::kNonSeq (C++ class) -
- - -
paddle::SequenceLastInstanceLayer::kSeq (C++ class) -
- -
paddle::SequenceLastInstanceLayer::SequenceLastInstanceLayer (C++ function)
-
paddle::SequenceLastInstanceLayer::SequenceLevel (C++ type) -
- -
paddle::SequenceLastInstanceLayer::tmpDest_ (C++ member)
@@ -14421,10 +14365,6 @@ var _hmt = _hmt || []; -
paddle::SequenceLastInstanceLayer::type_ (C++ member) -
- -
paddle::SequenceLastInstanceLayer::~SequenceLastInstanceLayer (C++ function)
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\ No newline at end of file diff --git a/doc/source/gserver/layers/layer.html b/doc/source/gserver/layers/layer.html index 31a6707bd4..3f742ef153 100644 --- a/doc/source/gserver/layers/layer.html +++ b/doc/source/gserver/layers/layer.html @@ -78,7 +78,7 @@ var _hmt = _hmt || [];

Base class for layer. Define necessary variables and functions for every layer.

-

Subclassed by paddle::AddtoLayer, paddle::AgentLayer, paddle::AverageLayer, paddle::BatchNormBaseLayer, paddle::BlockExpandLayer, paddle::BootBiasLayer, paddle::ConcatenateLayer, paddle::ConcatenateLayer2, paddle::ConvBaseLayer, paddle::ConvexCombinationLayer, paddle::ConvShiftLayer, paddle::CosSimLayer, paddle::CosSimVecMatLayer, paddle::CostLayer, paddle::CRFLayer, paddle::CTCLayer, paddle::DataLayer, paddle::DataNormLayer, paddle::EosIdCheckLayer, paddle::ExpandLayer, paddle::FeatureMapExpandLayer, paddle::FullyConnectedLayer, paddle::GatedRecurrentLayer, paddle::GatherAgentLayer, paddle::GetOutputLayer, paddle::GruStepLayer, paddle::HierarchicalSigmoidLayer, paddle::InterpolationLayer, paddle::LambdaCost, paddle::LstmLayer, paddle::LstmStepLayer, paddle::MaxIdLayer, paddle::MaxLayer, paddle::MixedLayer, paddle::MultiplexLayer, paddle::NCELayer, paddle::NormLayer, paddle::OuterProdLayer, paddle::ParameterReluLayer, paddle::PoolLayer, paddle::PowerLayer, paddle::PrintLayer, paddle::RankingCost, paddle::RecurrentLayer, paddle::RecurrentLayerGroup, paddle::ResizeLayer, paddle::SamplingIdLayer, paddle::ScalingLayer, paddle::ScatterAgentLayer, paddle::SelectiveFullyConnectedLayer, paddle::SequenceConcatLayer, paddle::SequenceLastInstanceLayer, paddle::SequenceReshapeLayer, paddle::SlopeInterceptLayer, paddle::SubSequenceLayer, paddle::SumToOneNormLayer, paddle::TensorLayer, paddle::TransLayer, paddle::ValidationLayer

+

Subclassed by paddle::AddtoLayer, paddle::AgentLayer, paddle::BatchNormBaseLayer, paddle::BlockExpandLayer, paddle::BootBiasLayer, paddle::ConcatenateLayer, paddle::ConcatenateLayer2, paddle::ConvBaseLayer, paddle::ConvexCombinationLayer, paddle::ConvShiftLayer, paddle::CosSimLayer, paddle::CosSimVecMatLayer, paddle::CostLayer, paddle::CRFLayer, paddle::CTCLayer, paddle::DataLayer, paddle::DataNormLayer, paddle::EosIdCheckLayer, paddle::ExpandLayer, paddle::FeatureMapExpandLayer, paddle::FullyConnectedLayer, paddle::GatedRecurrentLayer, paddle::GatherAgentLayer, paddle::GetOutputLayer, paddle::GruStepLayer, paddle::HierarchicalSigmoidLayer, paddle::InterpolationLayer, paddle::LambdaCost, paddle::LstmLayer, paddle::LstmStepLayer, paddle::MaxIdLayer, paddle::MixedLayer, paddle::MultiplexLayer, paddle::NCELayer, paddle::NormLayer, paddle::OuterProdLayer, paddle::ParameterReluLayer, paddle::PoolLayer, paddle::PowerLayer, paddle::PrintLayer, paddle::RankingCost, paddle::RecurrentLayer, paddle::RecurrentLayerGroup, paddle::ResizeLayer, paddle::SamplingIdLayer, paddle::ScalingLayer, paddle::ScatterAgentLayer, paddle::SelectiveFullyConnectedLayer, paddle::SequenceConcatLayer, paddle::SequencePoolLayer, paddle::SequenceReshapeLayer, paddle::SlopeInterceptLayer, paddle::SubSequenceLayer, paddle::SumToOneNormLayer, paddle::TensorLayer, paddle::TransLayer, paddle::ValidationLayer

Public Functions

@@ -5042,8 +5042,9 @@ The config file api if gru_step_layer.
class paddle::AverageLayer
-

A layer for “internal average” for sequence input. Input: one or more sequences. Each sequence contains some instances. If AverageLevel = kNonSeq: Output: output size is the number of input sequences (NOT input instances) output[i] = average_{for each instance in this sequence}{input[i]} If AverageLevel = kSeq: Check input sequence must has sub-sequence Output: output size is the number of input sub-sequences output[i] = average_{for each instance in this sub-sequence}{input[i]}

-

Inherits from paddle::Layer

+

A layer for “internal average” for sequence input. Input: one or more sequences. Each sequence contains some instances. If SequenceLevel = kNonSeq: Output: output size is the number of input sequences (NOT input instances) output[i] = average_{for each instance in this sequence}{input[i]} If SequenceLevel = kSeq: Check input sequence must has sub-sequence Output: output size is the number of input sub-sequences output[i] = average_{for each instance in this sub-sequence}{input[i]}

+

The config file api is pooling_layer.

+

Inherits from paddle::SequencePoolLayer

Public Types

@@ -5067,22 +5068,6 @@ The config file api if gru_step_layer.
-
-
-enum AverageLevel
-

Values:

-
-
-kNonSeq = 0
-
- -
-
-kSeq = 1
-
- -
-

Public Functions

@@ -5117,11 +5102,6 @@ The config file api if gru_step_layer.

Protected Attributes

-
-
-std::unique_ptr<Weight> biases_
-
-
MatrixPtr outMtx_
@@ -5137,11 +5117,6 @@ The config file api if gru_step_layer.
int mode_
-
-
-int type_
-
-
class paddle::Layer
@@ -5151,27 +5126,9 @@ The config file api if gru_step_layer.
class paddle::MaxLayer
-

A layer for “internal max” for sequence input. Input: one or more sequences. Each sequence contains some instances. If MaxLevel = kNonSeq: Output: output size is the number of input sequences (NOT input instances) output[i] = max_{for each instance in this sequence}{input[i]} If MaxLevel = kSeq: Check input sequence must has sub-sequence Output: output size is the number of input sub-sequences output[i] = max_{for each instance in this sub-sequence}{input[i]}

-

Inherits from paddle::Layer

-
-

Public Types

-
-
-enum MaxLevel
-

Values:

-
-
-kNonSeq = 0
-
- -
-
-kSeq = 1
-
- -
- -
+

A layer for “internal max” for sequence input. Input: one or more sequences. Each sequence contains some instances. If SequenceLevel = kNonSeq: Output: output size is the number of input sequences (NOT input instances) output[i] = max_{for each instance in this sequence}{input[i]} If SequenceLevel = kSeq: Check input sequence must has sub-sequence Output: output size is the number of input sub-sequences output[i] = max_{for each instance in this sub-sequence}{input[i]}

+

The config file api is pooling_layer.

+

Inherits from paddle::SequencePoolLayer

Public Functions

@@ -5205,21 +5162,11 @@ The config file api if gru_step_layer.

Protected Attributes

-
-
-std::unique_ptr<Weight> biases_
-
-
IVectorPtr maxIndex_
-
-
-int type_
-
-
@@ -5229,8 +5176,9 @@ The config file api if gru_step_layer.
class paddle::SequenceLastInstanceLayer
-

A layer for extracting the last instance of the input sequence. Input: a sequence If SequenceLevel = kNonseq: Output: a sequence containing only the last instance of the input sequence If SequenceLevel = kSeq: Check input sequence must has sub-sequence Output: a sequence containing only the last instance of each sub-sequence of the input sequence

-

Inherits from paddle::Layer

+

A layer for extracting the last instance of the input sequence. Input: a sequence If SequenceLevel = kNonseq: Output: a sequence containing only the last instance of the input sequence If SequenceLevel = kSeq: Check input sequence must has sub-sequence Output: a sequence containing only the last instance of each sub-sequence of the input sequence

+

The config file api is last_seq and first_seq.

+

Inherits from paddle::SequencePoolLayer

Public Functions

@@ -5261,33 +5209,9 @@ The config file api if gru_step_layer.

Backward propagation. Should only be called after Layer::forward() function.

-
-
-

Protected Types

-
-
-enum SequenceLevel
-

Values:

-
-
-kNonSeq = 0
-
- -
-
-kSeq = 1
-
- -
-

Protected Attributes

-
-
-std::unique_ptr<Weight> biases_
-
-
MatrixPtr tmpSrc_
@@ -5298,11 +5222,6 @@ The config file api if gru_step_layer.
MatrixPtr tmpDest_
-
-
-int type_
-
-
-- GitLab