Python* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 3

Public Member Functions | Static Public Attributes | List of all members
Batch Class Reference

Provides methods for the backward dropout layer in the batch processing mode. More...

Public Member Functions

def __init__
 
def getMethod
 
def getLayerInput
 
def getLayerParameter
 
def getLayerResult
 
def getResult
 
def setResult
 
def clone
 
def allocateResult
 
def compute
 
- Public Member Functions inherited from LayerIface
def getLayerResult
 
def getLayerInput
 
def getLayerParameter
 
def clone
 
def allocateResult
 
def addInput
 
- Public Member Functions inherited from AlgorithmImpl
def computeNoThrow
 
def compute
 
def checkComputeParams
 
def checkResult
 
def setupCompute
 
def resetCompute
 
def enableResetOnCompute
 
def hostApp
 
def setHostApp
 
- Public Member Functions inherited from Algorithm
def checkComputeParams
 
def getBaseParameter
 
- Public Member Functions inherited from AlgorithmIfaceImpl
def enableChecks
 
def isChecksEnabled
 
def getErrors
 
- Public Member Functions inherited from AlgorithmIface
def checkComputeParams
 
def checkResult
 
def getMethod
 
def getErrors
 

Static Public Attributes

 parameter = ...
 
 input = ...
 

Detailed Description

Parameters
fptypeData type to use in intermediate computations for the backward dropout layer, double or float
methodBackward dropout layer method, Method
Enumerations
  • Method Computation methods for the backward dropout layer
  • backward.InputId Identifiers of input objects for the backward dropout layer
  • LayerDataId Identifiers of collection in input objects for the backward dropout layer
  • backward.InputLayerDataId Identifiers of extra results computed by the forward dropout layer
  • backward.ResultId Identifiers of result objects for the backward dropout layer
References
Aliases
  • Batch_Float64DefaultDense is an alias of Batch(fptype=float64, method=daal.algorithms.neural_networks.layers.dropout.defaultDense)
  • Batch_Float32DefaultDense is an alias of Batch(fptype=float32, method=daal.algorithms.neural_networks.layers.dropout.defaultDense)

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Variant 1
Default constructor

Variant 2

Constructs a backward dropout layer in the batch processing mode and initializes its parameter with the provided parameter

Parameters
parameterParameter to initialize the parameter of the layer

Variant 3

Constructs a backward dropout layer by copying input objects and parameters of another backward dropout layer in the batch processing mode

Parameters
otherAlgorithm to use as the source to initialize the input objects and parameters of the layer

Member Function Documentation

def allocateResult (   self)

Allocates memory to store the result of the backward dropout layer

Returns
Status of computations
def clone (   self)

Returns a pointer to a newly allocated backward dropout layer with a copy of the input objects and parameters for this backward dropout layer in the batch processing mode

Returns
Pointer to the newly allocated layer
def compute (   self)

Invokes computations

def getLayerInput (   self)

Returns the structure that contains the input objects of backward dropout layer

Returns
Structure that contains the input objects of backward dropout layer
def getLayerParameter (   self)

Returns the structure that contains the parameters of the backward dropout layer

Returns
Structure that contains the parameters of the backward dropout layer
def getLayerResult (   self)

Returns the structure that contains result of the backward dropout layer

Returns
Structure that contains result of the backward dropout layer
def getMethod (   self)

Returns the method of the layer

Returns
Method of the layer
def getResult (   self)

Returns the structure that contains the result of the backward dropout layer

Returns
Structure that contains the result of the backward dropout layer
def setResult (   self,
  result 
)

Registers user-allocated memory to store the result of the backward dropout layer

Parameters
resultStructure to store the result of the backward dropout layer
Returns
Status of computations

Member Data Documentation

input = ...
static

Backward dropout layer input

parameter = ...
static

Backward dropout layer parameters


The documentation for this class was generated from the following file:

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