Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)  0.10
Performance library for Deep Learning
Functions

A primitive to compute element wise operations like parametric rectifier linear unit (ReLU). More...

Functions

mkldnn_status_t MKLDNN_API mkldnn_eltwise_forward_desc_init (mkldnn_eltwise_desc_t *eltwise_desc, mkldnn_prop_kind_t prop_kind, mkldnn_alg_kind_t alg_kind, const mkldnn_memory_desc_t *data_desc, double alpha, double beta)
 Initializes a eltwise_desc for forward propagation using prop_kind (possible values are mkldnn_forward_training or mkldnn_forward_inference), alg_kind algorithm, memory descriptor data_desc, and alpha, beta parameters. More...
 
mkldnn_status_t MKLDNN_API mkldnn_eltwise_backward_desc_init (mkldnn_eltwise_desc_t *eltwise_desc, mkldnn_alg_kind_t alg_kind, const mkldnn_memory_desc_t *diff_data_desc, const mkldnn_memory_desc_t *data_desc, double alpha, double beta)
 Initializes a eltwise_desc for backward propagation using alg_kind algorithm memory descriptors diff_data_desc and data_desc, and alpha, beta parameters. More...
 

Detailed Description

A primitive to compute element wise operations like parametric rectifier linear unit (ReLU).

Function Documentation

◆ mkldnn_eltwise_backward_desc_init()

mkldnn_status_t MKLDNN_API mkldnn_eltwise_backward_desc_init ( mkldnn_eltwise_desc_t eltwise_desc,
mkldnn_alg_kind_t  alg_kind,
const mkldnn_memory_desc_t diff_data_desc,
const mkldnn_memory_desc_t data_desc,
double  alpha,
double  beta 
)

Initializes a eltwise_desc for backward propagation using alg_kind algorithm memory descriptors diff_data_desc and data_desc, and alpha, beta parameters.

See also
mkldnn_eltwise_desc_t for details

◆ mkldnn_eltwise_forward_desc_init()

mkldnn_status_t MKLDNN_API mkldnn_eltwise_forward_desc_init ( mkldnn_eltwise_desc_t eltwise_desc,
mkldnn_prop_kind_t  prop_kind,
mkldnn_alg_kind_t  alg_kind,
const mkldnn_memory_desc_t data_desc,
double  alpha,
double  beta 
)

Initializes a eltwise_desc for forward propagation using prop_kind (possible values are mkldnn_forward_training or mkldnn_forward_inference), alg_kind algorithm, memory descriptor data_desc, and alpha, beta parameters.

See also
mkldnn_eltwise_desc_t for details