Python* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 1

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

Provides methods for backward local contrast normalization layer computations 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
 
- 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 of backward local contrast normalization layer, double or float
methodComputation method of the layer, Method
Enumerations
  • Method Computation methods for the backward local contrast normalization layer
  • LayerDataId Identifiers of input objects for the backward local contrast normalization layer
References
Aliases
  • Batch_Float64DefaultDense is an alias of Batch(fptype=float64, method=daal.algorithms.neural_networks.layers.lcn.defaultDense)
  • Batch_Float32DefaultDense is an alias of Batch(fptype=float32, method=daal.algorithms.neural_networks.layers.lcn.defaultDense)

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Variant 1
Default constructor

Variant 2

Constructs a backward local contrast normalization 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 local contrast normalization layer by copying input objects and parameters of another local contrast normalization layer

Parameters
otherA layer to be used as the source to initialize the input objects and parameters of this layer

Member Function Documentation

def allocateResult (   self)

allocateResult(Batch self) -> Status

def clone (   self)

Returns a pointer to the newly allocated local contrast normalization layer with a copy of input objects and parameters of this local contrast normalization layer

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

Invokes computations

def getLayerInput (   self)

Returns the structure that contains input objects of local contrast normalization layer

Returns
Structure that contains input objects of local contrast normalization layer
def getLayerParameter (   self)

Returns the structure that contains parameters of the local contrast normalization layer

Returns
Structure that contains parameters of the local contrast normalization layer
def getLayerResult (   self)

Returns the structure that contains results of local contrast normalization layer

Returns
Structure that contains results of local contrast normalization layer
def getMethod (   self)

Returns computation method of the layer

Returns
Computation method of the layer
def getResult (   self)

Returns the structure that contains results of local contrast normalization layer

Returns
Structure that contains results of local contrast normalization layer
def setResult (   self,
  result 
)

Registers user-allocated memory to store results of local contrast normalization layer

Parameters
resultStructure to store results of local contrast normalization layer
Returns
Status of computations

Member Data Documentation

input = ...
static

Input objects of the layer

parameter = ...
static

Parameters of the layer


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

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