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 the average 3D pooling layer in the batch processing mode. More...

Public Member Functions

def __init__
 
- Public Member Functions inherited from LayerIface
def __init__
 
- Public Member Functions inherited from Base
def __init__
 

Static Public Attributes

 parameter = ...
 
- Static Public Attributes inherited from LayerIface
 forwardLayer = ...
 
 backwardLayer = ...
 

Detailed Description

Parameters
fptypeData type to use in intermediate computations for the average 3D pooling layer, double or float
methodAverage 3D pooling layer method, Method
Enumerations
  • Method Computation methods
  • LayerDataId Identifiers of collection in results of forward and in input objects for the backward average 3D pooling layer
References
Deprecated:
This item will be removed in a future release.
Aliases
  • Batch_Float64DefaultDense is an alias of Batch(fptype=float64, method=daal.algorithms.neural_networks.layers.average_pooling3d.defaultDense)
  • Batch_Float32DefaultDense is an alias of Batch(fptype=float32, method=daal.algorithms.neural_networks.layers.average_pooling3d.defaultDense)

Constructor & Destructor Documentation

def __init__ (   self,
  nDimensions 
)

Constructs the average 3D pooling layer

Parameters
nDimensionsNumber of dimensions in input gradient tensor
Deprecated:
This item will be removed in a future release.

Member Data Documentation

parameter = ...
static

Average 3D pooling layer parameters


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

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