Reduction
Overview
A primitive to compute reduction operation on data tensor using min, max, mul, sum, mean and norm_lp operations. More…
// structs struct dnnl::reduction; // global functions dnnl_status_t DNNL_API dnnl_reduction_primitive_desc_create( dnnl_primitive_desc_t* primitive_desc, dnnl_engine_t engine, dnnl_alg_kind_t alg_kind, const_dnnl_memory_desc_t src_desc, const_dnnl_memory_desc_t dst_desc, float p, float eps, const_dnnl_primitive_attr_t attr );
Detailed Documentation
A primitive to compute reduction operation on data tensor using min, max, mul, sum, mean and norm_lp operations.
See also:
Reduction in developer guide
Global Functions
dnnl_status_t DNNL_API dnnl_reduction_primitive_desc_create( dnnl_primitive_desc_t* primitive_desc, dnnl_engine_t engine, dnnl_alg_kind_t alg_kind, const_dnnl_memory_desc_t src_desc, const_dnnl_memory_desc_t dst_desc, float p, float eps, const_dnnl_primitive_attr_t attr )
Creates a primitive descriptor for a reduction primitive.
Destination memory descriptor is allowed to be initialized with dnnl_format_tag_any or with format_kind set to dnnl_format_kind_any.
Parameters:
primitive_desc | Output primitive descriptor. |
engine | Engine to use. |
alg_kind | reduction algorithm kind. Possible values: dnnl_reduction_max, dnnl_reduction_min, dnnl_reduction_sum, dnnl_reduction_mul, dnnl_reduction_mean, dnnl_reduction_norm_lp_max, dnnl_reduction_norm_lp_sum, dnnl_reduction_norm_lp_power_p_max, dnnl_reduction_norm_lp_power_p_sum. |
p | Algorithm specific parameter. |
eps | Algorithm specific parameter. |
src_desc | Source memory descriptor. |
dst_desc | Destination memory descriptor. |
attr | Primitive attributes (can be NULL). |
Returns:
dnnl_success on success and a status describing the error otherwise.