Developer Guide for Intel® Data Analytics Acceleration Library 2019 Update 5
Backward ELU 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.
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Input ID |
Input |
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|---|---|---|
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inputGradient |
Pointer to the tensor of size |
|
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inputFromForward |
Collection of data needed for the backward ELU layer. |
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Element ID |
Element |
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auxData |
Pointer to the tensor of size |
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auxIntermediateValue |
Pointer to the tensor of size |
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Backward ELU layer has the following parameters:
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Parameter |
Default Value |
Description |
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|---|---|---|---|
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algorithmFPType |
float |
The floating-point type used for intermediate computations within algorithm. Can be either float or double. |
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|
method |
defaultDense |
The default performance-oriented computation method, the only method supported by the algorithm. |
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|
alpha |
1.0 |
Parameter α of the function. |
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Backward ELU 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.
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Result ID |
Result |
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|---|---|---|
|
gradient |
Pointer to the tensor of |
|