Developer Guide

Contents

Batch Processing

Layer Input

The forward three-dimensional average pooling layer accepts the input described below. Pass the Input ID as a parameter to the methods that provide input for your algorithm. For more details, see Algorithms.
Input ID
Input
data
Pointer to the tensor of size
n
1
x
n
2
x ... x
n
p
that stores the input data for the forward three-dimensional average pooling layer. This input can be an object of any class derived from
Tensor
.

Layer Parameters

For common parameters of neural network layers, see Common Parameters.
In addition to the common parameters, the forward three-dimensional average pooling layer has the following parameters:
Parameter
Default Value
Description
algorithmFPType
float
The floating-point type that the algorithm uses for intermediate computations. Can be
float
or
double
.
method
defaultDense
Performance-oriented computation method, the only method supported by the layer.
kernelSizes
KernelSizes(2, 2, 2)
Data structure representing the size of the three-dimensional subtensor from which the average element is computed.
strides
Strides(2, 2, 2)
Data structure representing the intervals on which the subtensors for pooling are selected.
paddings
Paddings(0, 0, 0)
Data structure representing the number of data elements to implicitly add to each size of the three-dimensional subtensor on which pooling is performed.
indices
HomogenNumericTable(p-3, p-2, p-1)
Indices of the three dimensions on which pooling is performed, stored in
HomogenNumericTable
.

Layer Output

The forward three-dimensional average pooling layer calculates the result described below. Pass the Result ID as a parameter to the methods that access the results of your algorithm. For more details, see Algorithms.
Result ID
Result
value
Pointer to the tensor of size
m
1
x
m
2
x ... x
m
p
that stores the result of the forward three-dimensional average pooling layer, where
m
i
,
i
∈ {1 ...
p
} are defined above. This input can be an object of any class derived from
Tensor
.
resultForBackward
Collection of data needed for the backward three-dimensional average pooling layer.
Element ID
Element
auxInputDimensions
Collection that contains the size of the dimensions of the input data tensor:
n
1
,
n
2
, ...,
n
p
.

Product and Performance Information

1

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Notice revision #20110804