Developer Guide and Reference

  • 2023.0
  • 12/16/2022
  • Public Content
Contents

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
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.

Product and Performance Information

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Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.