Apache SINGA
A distributed deep learning platform .
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Base layer for reading records from local Shard, HDFS, lmdb, etc. More...
#include <input_layer.h>
Public Member Functions | |
void | ComputeGradient (int flag, Metric *perf) override |
Compute gradients for parameters and connected layers. More... | |
Blob< float > * | mutable_data (const Layer *layer) override |
Blob< float > * | mutable_grad (const Layer *layer) override |
ConnectionType | dst_layer_connection () const override |
Return the connection type of this layer and all dst layers. More... | |
int | batchsize () const |
virtual const Record & | sample () const |
virtual const std::vector < Record > & | records () const |
Public Member Functions inherited from singa::Layer | |
virtual void | Setup (const LayerProto &proto, int npartitions=1) |
Setup layer properties. More... | |
virtual void | ComputeFeature (int flag, Metric *perf)=0 |
Compute features of this layer based on connected layers. More... | |
virtual const std::vector < Param * > | GetParams () const |
Layers that have paramters must override this function. More... | |
virtual ConnectionType | src_neuron_connection (int k) const |
Return the connection type between one neuron of this layer and its source layer. More... | |
virtual const std::string | DebugString (int step, int flag) |
For print debug info about each layer, e.g., norm of feature vector, norm of parameters. More... | |
int | partition_dim () const |
int | partition_id () const |
int | type () const |
const std::string & | name () const |
Return name of this layer. | |
virtual const Blob< float > & | data (const Layer *from) const |
virtual const Blob< float > & | grad (const Layer *from) const |
const std::vector< Layer * > | srclayers () const |
return LayerS that connected to this layer | |
const std::vector< Layer * > | dstlayers () const |
return LayerS that this layer connected to | |
int | srclayers_size () const |
int | dstlayers_size () const |
void | clear_dstlayers () |
void | clear_srclayers () |
void | add_srclayer (Layer *src) |
void | add_dstlayer (Layer *dst) |
Protected Attributes | |
int | random_skip_ |
int | batchsize_ |
Record | sample_ |
std::vector< Record > | records_ |
Protected Attributes inherited from singa::Layer | |
LayerProto | layer_proto_ |
Blob< float > | data_ |
Blob< float > | grad_ |
std::vector< Layer * > | srclayers_ |
std::vector< Layer * > | dstlayers_ |
Additional Inherited Members | |
Static Public Member Functions inherited from singa::Layer | |
static Layer * | Create (const LayerProto &proto) |
Base layer for reading records from local Shard, HDFS, lmdb, etc.
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inlineoverridevirtual |
Compute gradients for parameters and connected layers.
flag | used to get the calling phase, e.g., forward of training (kForward | kTrain) |
flag | used to get the calling phase, e.g., forward of training |
Implements singa::Layer.
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inlineoverridevirtual |
Return the connection type of this layer and all dst layers.
Currently support two connection types: kOneToOne, and kOneToMany. kOneToOne indicates the users implement the ComputeFeature and ComputeGradient function considering only one dest layer. In this case, a SplitLayer will be added automatically to connect this layer with all dest layer. kOneToMany indicates the users has already considered multiple dest layers in the implementation.
Reimplemented from singa::Layer.
Reimplemented from singa::Layer.
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inlinevirtual |