mxnet
|
Functions | |
mkldnn_status_t MKLDNN_API | mkldnn_softmax_forward_desc_init (mkldnn_softmax_desc_t *softmax_desc, mkldnn_prop_kind_t prop_kind, const mkldnn_memory_desc_t *data_desc, int softmax_axis) |
mkldnn_status_t MKLDNN_API | mkldnn_softmax_backward_desc_init (mkldnn_softmax_desc_t *softmax_desc, const mkldnn_memory_desc_t *diff_desc, const mkldnn_memory_desc_t *data_desc, int softmax_axis) |
A primitive to perform softmax.
where are outer and inner sizes repectively, defined by data_desc.dims
and softmax_axis
.
mkldnn_status_t MKLDNN_API mkldnn_softmax_backward_desc_init | ( | mkldnn_softmax_desc_t * | softmax_desc, |
const mkldnn_memory_desc_t * | diff_desc, | ||
const mkldnn_memory_desc_t * | data_desc, | ||
int | softmax_axis | ||
) |
Initializes a softmax_desc
for backward propagation using memory descriptors diff_desc
and data_desc
.
Order of inputs:
Order of outputs:
mkldnn_status_t MKLDNN_API mkldnn_softmax_forward_desc_init | ( | mkldnn_softmax_desc_t * | softmax_desc, |
mkldnn_prop_kind_t | prop_kind, | ||
const mkldnn_memory_desc_t * | data_desc, | ||
int | softmax_axis | ||
) |
Initializes a softmax_desc
for forward propagation using prop_kind
(possible values are mkldnn_forward_training and mkldnn_forward_inference) and memory descriptor data_desc
.
Order of inputs:
Order of outputs: