Developer Guide

Contents

Batch Processing

Layer Input

The forward three-dimensional max 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 tensor
X
of size
n
1
x ... x
n
p
that stores the input data for the forward three-dimensional max 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 max 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 maximum element is selected.
strides
Strides(2, 2, 2)
Data structure representing intervals
s
1
,
s
2
,
s
3
on which the subtensors for max pooling are selected.
paddings
Paddings(0, 0, 0)
Data structure representing the number of data elements to implicitly add to each side of the three-dimensional subtensor along which max pooling is performed.
indices
Indices(p-3, p-2, p-1)
Indices
k
1
,
k
2
,
k
3
of the dimensions along which max pooling is performed.

Layer Output

The forward three-dimensional max 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 tensor
Y
of size
l
1
x ... x
l
p
that stores the result of the forward three-dimensional max pooling layer. This input can be an object of any class derived from
Tensor
.
resultForBackward
Collection of data needed for the backward three-dimensional max pooling layer.
Element ID
Element
auxSelectedIndices
Tensor
T
of size
l
1
x ... x
l
p
that stores indices of maximum elements.
auxInputDimensions
NumericTable of size 1 x
p
that stores the sizes of the dimensions of input data tensor
X
:
n
1
,
n
2
, …,
n
p
.

Product and Performance Information

1

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Notice revision #20110804