mxnet
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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, float alpha, float beta) |
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, float alpha, float beta) |
A primitive to compute element-wise operations like parametric rectifier linear unit (ReLU).
Both forward and backward passes support in-place operation; that is, src and dst point to the same memory for forward pass, and diff_dst and diff_src point to the same memory for backward pass.
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, | ||
float | alpha, | ||
float | beta | ||
) |
Initializes an eltwise_desc
for backward propagation using alg_kind
algorithm memory descriptors diff_data_desc
and data_desc
, and the alpha
and beta
parameters.
Order of inputs:
Order of outputs:
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, | ||
float | alpha, | ||
float | beta | ||
) |
Initializes an eltwise_desc
for forward propagation using prop_kind
(possible values are mkldnn_forward_training and mkldnn_forward_inference), alg_kind
algorithm, memory descriptor data_desc
, alpha
, and beta
parameters.
Order of inputs:
Order of outputs: