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

2D transposed convolution layer parameters 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

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

Detailed Description

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

Constructor & Destructor Documentation

def __init__ (   self)

Default constructor

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

Member Data Documentation

groupDimension = ...
static

Dimension for which the grouping is applied. groupDimension=1 is supported now

indices = ...
static

Data structure representing the dimension for convolution kernels. (2,3) is supported now

kernelSizes = ...
static

Data structure representing the sizes of the two-dimensional kernel subtensor

nGroups = ...
static

Number of groups which the input data is split in groupDimension dimension

nKernels = ...
static

Number of kernels applied to the input layer data

paddings = ...
static

Data structure representing the number of data to be implicitly added to the subtensor

strides = ...
static

Data structure representing the intervals on which the kernel should be applied to the input

valueSizes = ...
static

Data structure representing the dimension sizes of value tensor Y. If this value


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

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