Developer Guide for Intel® Data Analytics Acceleration Library 2018 Update 2
The backward two-dimensional spatial pyramid 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 |
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inputGradient |
Pointer to tensor G of size n1 x n' that stores the input gradient computed on the preceding layer. This input can be an object of any class derived from Tensor. |
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inputFromForward |
Collection of data needed for the backward two-dimensional spatial pyramid pooling layer. |
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Algorithm |
Element ID |
Element |
|
any |
auxInputDimensions |
NumericTable of size 1 x p that stores the sizes of the dimensions of input data tensor X: n1, n2, …, np. |
|
spatial pyramid max pooling, spatial pyramid stochastic pooling |
auxSelectedIndices |
Tensor T of size n1 x n' that stores indices of maximum/stochastic elements. |
For common parameters of neural network layers, see Common Parameters.
In addition to the common parameters, the backward two-dimensional spatial pyramid pooling layer has the following parameters:
Algorithm |
Parameter |
Default Value |
Description |
|
---|---|---|---|---|
any |
algorithmFPType |
float |
The floating-point type that the algorithm uses for intermediate computations. Can be float or double. |
|
any |
method |
defaultDense |
Performance-oriented computation method, the only method supported by the layer. |
|
any |
indices |
Indices(p-2, p-1) |
Indices k1, k2 of the dimensions along which spatial pyramid pooling is performed. |
|
spatial pyramid stochastic pooling |
pyramidHeight |
Not applicable |
Value L of the pyramid height. |
|
spatial pyramid stochastic pooling |
DEPRECATED: seed |
777 |
NoteThis parameter is deprecated and will be removed in a future release.Seed for multinomial random number generator. |
|
spatial pyramid stochastic pooling |
engine |
SharePtr< engines:: mt19937:: Batch>() |
Pointer to the random number generator engine that is used internally for multinomial random number generation. |
The backward two-dimensional spatial pyramid 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 |
|
---|---|---|
gradient |
Pointer to tensor Z of size n1 x n2 x n3 x n4 that stores the result of the backward two-dimensional spatial pyramid pooling layer. This input can be an object of any class derived from Tensor. |