Python* API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

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

Provides methods for truncated gaussian initializer computations in the batch processing mode. More...

Public Member Functions

def __init__
 
def getMethod
 
def getParameter
 
def getResult
 
def setResult
 
def clone
 
def allocateResult
 
def compute
 
- Public Member Functions inherited from InitializerIface
def getParameter
 
- 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
 
- Public Member Functions inherited from AlgorithmIface
def checkComputeParams
 
def checkResult
 
def getMethod
 

Static Public Attributes

 parameter = ...
 
- Static Public Attributes inherited from InitializerIface
 input = ...
 

Detailed Description

Parameters
fptypeData type to use in intermediate computations of truncated gaussian initializer, double or float
methodComputation method of the initializer, truncated_gaussian.Method
Enumerations
  • truncated_gaussian.Method Computation methods for the truncated gaussian initializer
References
Aliases
  • Batch_Float64DefaultDense is an alias of Batch(fptype=float64, method=daal.algorithms.neural_networks.initializers.truncated_gaussian.defaultDense)
  • Batch_Float32DefaultDense is an alias of Batch(fptype=float32, method=daal.algorithms.neural_networks.initializers.truncated_gaussian.defaultDense)

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Variant 1

Constructs truncated gaussian initializer

Parameters
meanMean
sigmaStandard deviation

Variant 2

Constructs truncated gaussian initializer

Parameters
meanMean
sigmaStandard deviation

Variant 3

Constructs truncated gaussian initializer

Parameters
meanMean
sigmaStandard deviation

Variant 4

Constructs truncated gaussian initializer by copying input objects and parameters of another truncated gaussian initializer

Parameters
otherAn initializer to be used as the source to initialize the input objects and parameters of this initializer

Member Function Documentation

def allocateResult (   self)

Allocates memory to store the result of the truncated gaussian initializer

Returns
Status of computations
def clone (   self)

Returns a pointer to the newly allocated truncated gaussian initializer with a copy of input objects and parameters of this truncated gaussian initializer

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

Invokes computations

def getMethod (   self)

Returns method of the initializer

Returns
Method of the initializer
def getParameter (   self)

Get parameters of the initializer

Returns
Parameters of the initializer
def getResult (   self)

Returns the structure that contains results of truncated gaussian initializer

Returns
Structure that contains results of truncated gaussian initializer
def setResult (   self,
  result 
)

Registers user-allocated memory to store results of truncated gaussian initializer

Parameters
resultStructure to store results of truncated gaussian initializer
Returns
Status of computations

Member Data Documentation

parameter = ...
static

Parameters of the initializer


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

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