Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)
0.17.3
Performance library for Deep Learning
|
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... | |
A primitive to compute a parametric rectifier linear unit (ReLU).
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
.
alpha
equals negative_slope
Order of inputs:
Order of outputs:
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
.
alpha
equals negative_slope
Order of inputs:
Order of outputs: