mxnet
Functions
Collaboration diagram for Eltwise:

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)
 

Detailed Description

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.

Warning
Because the original src is required for backward pass, in-place forward pass in general cannot be applied during training. However, for some kinds of element-wise operations (namely ReLU with alpha parameter equals 0), dst and src can be interchangeable for the backward pass, which enables performing in-place forward even for training.

Function Documentation

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.

See also
mkldnn_eltwise_desc_t for details.

Order of inputs:

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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.

See also
mkldnn_eltwise_desc_t for details.

Order of inputs:

Order of outputs: