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

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

Parameters for the forward and backward two-dimensional pooling layers. More...

Public Member Functions

def __init__
 
- Public Member Functions inherited from Parameter
def __init__
 
- Public Member Functions inherited from Parameter
def __init__
 
def check
 

Static Public Attributes

 strides = ...
 
 paddings = ...
 
 kernelSizes = ...
 
 indices = ...
 
- Static Public Attributes inherited from Parameter
 weightsInitializer = ...
 
 biasesInitializer = ...
 
 predictionStage = ...
 
 propagateGradient = ...
 
 weightsAndBiasesInitialized = ...
 
 allowInplaceComputation = ...
 

Detailed Description

Deprecated:
This item will be removed in a future release.
Deprecated:
This item will be removed in a future release.

Constructor & Destructor Documentation

def __init__ (   self,
  firstIndex,
  secondIndex,
  firstKernelSize = 2,
  secondKernelSize = 2,
  firstStride = 2,
  secondStride = 2,
  firstPadding = 0,
  secondPadding = 0 
)

Constructs the parameters of 2D pooling layer

Parameters
firstIndexIndex of the first of two dimensions on which the pooling is performed
secondIndexIndex of the second of two dimensions on which the pooling is performed
firstKernelSizeSize of the first dimension of 2D subtensor for which the element is computed
secondKernelSizeSize of the second dimension of 2D subtensor for which the element is computed
firstStrideInterval over the first dimension on which the pooling is performed
secondStrideInterval over the second dimension on which the pooling is performed
firstPaddingNumber of data elements to implicitly add to the the first dimension of the 2D subtensor on which the pooling is performed
secondPaddingNumber of data elements to implicitly add to the the second dimension of the 2D subtensor on which the pooling is performed
Deprecated:
This item will be removed in a future release.

Member Data Documentation

indices = ...
static

Indices of the two dimensions on which pooling is performed

kernelSizes = ...
static

Data structure representing the size of the 2D subtensor

paddings = ...
static

Data structure representing the number of data elements to implicitly add

strides = ...
static

Data structure representing the intervals on which the subtensors for pooling are computed


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

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