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 spatial pyramid stochastic 2D 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 spatial pyramid stochastic 2D pooling layer, double or float
methodSpatial pyramid spatial pyramid stochastic 2D pooling layer method, Method
Enumerations
  • Method Computation methods
  • LayerDataId Identifiers of collection in results of forward and in input objects for the backward average 2D 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.spatial_stochastic_pooling2d.defaultDense)
  • Batch_Float32DefaultDense is an alias of Batch(fptype=float32, method=daal.algorithms.neural_networks.layers.spatial_stochastic_pooling2d.defaultDense)

Constructor & Destructor Documentation

def __init__ (   self,
  pyramidHeight,
  nDimensions 
)

Constructs the spatial pyramid stochastic 2D pooling layer

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

Member Data Documentation

parameter = ...
static

Spatial pyramid spatial pyramid stochastic 2D 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.