Developer Guide for Intel® Data Analytics Acceleration Library 2019 Update 5
The backward loss 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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inputGradient |
Pointer to the tensor 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 loss layer. |
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The inputGradient field stores a null pointer because there is no input gradient on the last layer.
The backward loss 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 that stores the result of the backward loss layer. This input can be an object of any class derived from Tensor. |
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