Python* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2

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

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

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Variant 1

Constructs backward element-wise sum layer


Variant 2

Constructs a backward element-wise sum 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 backward element-wise sum layer by copying input objects and parameters of another element-wise sum 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)

Allocates memory to store the result of the backward element-wise sum layer

Returns
Status of computations
def clone (   self)

Returns a pointer to the newly allocated element-wise sum layer with a copy of input objects and parameters of this element-wise sum layer

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

Invokes computations

def getLayerInput (   self)

Returns the structure that contains input objects of element-wise sum layer

Returns
Structure that contains input objects of element-wise sum layer
def getLayerParameter (   self)

Returns the structure that contains parameters of the backward element-wise sum layer

Returns
Structure that contains parameters of the backward element-wise sum layer
def getLayerResult (   self)

Returns the structure that contains results of element-wise sum layer

Returns
Structure that contains results of element-wise sum 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 element-wise sum layer

Returns
Structure that contains results of element-wise sum layer
def setResult (   self,
  result 
)

Registers user-allocated memory to store results of element-wise sum layer

Parameters
resultStructure to store results of element-wise sum layer
Returns
Status of computations

Member Data Documentation

input = ...
static

Backward element-wise sum layer input

parameter = ...
static

Backward element-wise sum layer parameters


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

For more complete information about compiler optimizations, see our Optimization Notice.