A primitive to perform elementwise operations such as the rectifier linear unit (ReLU).
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dnnl_status_t DNNL_API  dnnl_eltwise_forward_desc_init (dnnl_eltwise_desc_t *eltwise_desc, dnnl_prop_kind_t prop_kind, dnnl_alg_kind_t alg_kind, const dnnl_memory_desc_t *data_desc, float alpha, float beta) 
 Initializes a descriptor for eltwise forward propagation primitive. More...


dnnl_status_t DNNL_API  dnnl_eltwise_backward_desc_init (dnnl_eltwise_desc_t *eltwise_desc, dnnl_alg_kind_t alg_kind, const dnnl_memory_desc_t *diff_data_desc, const dnnl_memory_desc_t *data_desc, float alpha, float beta) 
 Initializes a descriptor for eltwise backward propagation primitive. More...


A primitive to perform elementwise operations such as the rectifier linear unit (ReLU).
Both forward and backward propagation primitives support inplace operation; that is, src and dst can refer to the same memory for forward propagation, and diff_dst and diff_src can refer to the same memory for backward propagation.
 Warning
 Because the original source data is required for backward propagation, inplace forward propagation is not generally supported in the training mode. However, for algorithms supporting destination as input memory, dst can be used for the backward propagation, which makes it possible to get performance benefit even in the training mode.
 See also
 Eltwise in developer guide
◆ dnnl_eltwise_forward_desc_init()
Initializes a descriptor for eltwise forward propagation primitive.
 Parameters

eltwise_desc  Output descriptor for an eltwise primitive. 
prop_kind  Propagation kind. Possible values are dnnl_forward_training and dnnl_forward_inference. 
alg_kind  Elementwise algorithm kind. 
data_desc  Source and destination memory descriptor. 
alpha  The alpha parameter for the elementwise operation. Specific meaning depends on the algorithm. 
beta  The beta parameter for the elementwise operation. Specific meaning depends on the algorithm. 
 Returns
 dnnl_success on success and a status describing the error otherwise.
 Examples:
 cnn_inference_f32.c, cpu_cnn_training_f32.c, and cross_engine_reorder.c.
◆ dnnl_eltwise_backward_desc_init()
Initializes a descriptor for eltwise backward propagation primitive.
 Parameters

eltwise_desc  Output descriptor for an eltwise primitive. 
alg_kind  Elementwise algorithm kind. 
diff_data_desc  Diff source and diff destination memory descriptors. 
data_desc  Source and destination memory descriptor. 
alpha  The alpha parameter for the elementwise operation. Specific meaning depends on the algorithm. 
beta  The beta parameter for the elementwise operation. Specific meaning depends on the algorithm. 
 Returns
 dnnl_success on success and a status describing the error otherwise.
 Examples:
 cpu_cnn_training_f32.c.