Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)  0.17.2
Performance library for Deep Learning
Functions
ReLU (deprecated, use Eltwise instead)

A primitive to compute a parametric rectifier linear unit (ReLU). More...

Functions

MKLDNN_DEPRECATED mkldnn_status_t MKLDNN_API mkldnn_relu_forward_desc_init (mkldnn_relu_desc_t *relu_desc, mkldnn_prop_kind_t prop_kind, const mkldnn_memory_desc_t *data_desc, float negative_slope)
 Initializes a relu_desc for forward propagation using prop_kind (possible values are mkldnn_forward_training or mkldnn_forward_inference), negative_slope and memory descriptor data_desc. More...
 
MKLDNN_DEPRECATED mkldnn_status_t MKLDNN_API mkldnn_relu_backward_desc_init (mkldnn_relu_desc_t *relu_desc, const mkldnn_memory_desc_t *diff_data_desc, const mkldnn_memory_desc_t *data_desc, float negative_slope)
 Initializes a relu_desc for backward propagation using negative_slope and memory descriptors diff_data_desc and data_desc. More...
 

Detailed Description

A primitive to compute a parametric rectifier linear unit (ReLU).

\[dst[n][c][h][w] = \max(src[n][c][h][w], 0) + \min(src[n][c][h][w], 0) \cdot negative\_slope\]

Function Documentation

◆ mkldnn_relu_forward_desc_init()

MKLDNN_DEPRECATED mkldnn_status_t MKLDNN_API mkldnn_relu_forward_desc_init ( mkldnn_relu_desc_t relu_desc,
mkldnn_prop_kind_t  prop_kind,
const mkldnn_memory_desc_t data_desc,
float  negative_slope 
)

Initializes a relu_desc for forward propagation using prop_kind (possible values are mkldnn_forward_training or mkldnn_forward_inference), negative_slope and memory descriptor data_desc.

Deprecated:
use mkldnn_eltwise_forward_desc_init() instead, with alpha equals negative_slope

Order of inputs:

Order of outputs:

◆ mkldnn_relu_backward_desc_init()

MKLDNN_DEPRECATED mkldnn_status_t MKLDNN_API mkldnn_relu_backward_desc_init ( mkldnn_relu_desc_t relu_desc,
const mkldnn_memory_desc_t diff_data_desc,
const mkldnn_memory_desc_t data_desc,
float  negative_slope 
)

Initializes a relu_desc for backward propagation using negative_slope and memory descriptors diff_data_desc and data_desc.

Deprecated:
use mkldnn_eltwise_backward_desc_init() instead, with alpha equals negative_slope

Order of inputs:

Order of outputs: