C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 3

References | Namespaces | Classes | Enumerations

Contains classes for neural network element-wise sum layer. More...

References

 Backward Element-wise Sum layer
 Contains classes for backward element-wise sum layer.
 
 Forward Element-wise Sum Layer
 Contains classes for the forward element-wise sum layer.
 

Namespaces

 daal::algorithms::neural_networks::layers::eltwise_sum
 Contains classes for neural network element-wise sum layer.
 
 daal::algorithms::neural_networks::layers::eltwise_sum::interface1
 Contains version 1.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
 

Classes

class  Batch< algorithmFPType, method >
 Computes the result of the forward and backward element-wise sum layer of neural network in the batch processing mode. More...
 
struct  Parameter
 Parameters for the element-wise sum layer. More...
 

Enumerations

enum  Method { defaultDense = 0 }
 
enum  LayerDataId { auxCoefficients }
 Available identifiers of input tensors for the backward element-wise sum layer and identifiers of result tensors for the forward element-wise sum layer. More...
 
enum  LayerDataNumericTableId { auxNumberOfCoefficients = lastLayerDataId + 1 }
 Available identifiers of input numeric tables for the backward element-wise sum layer and identifiers of result numeric tables for the forward element-wise sum layer. More...
 

Enumeration Type Documentation

enum LayerDataId

Enumerator
auxCoefficients 

Coefficients obtained from the forward stage of the layer

enum LayerDataNumericTableId

Enumerator
auxNumberOfCoefficients 

Numeric table of size 1 x 1 that contains the number of coefficients

enum Method

Available methods to compute forward and backward element-wise sum layer

Enumerator
defaultDense 

Default: performance-oriented method.

For more complete information about compiler optimizations, see our Optimization Notice.