Developer Guide and Reference

  • 2022.1
  • 04/11/2022
  • Public Content
Contents

Sum

Overview

A primitive to sum multiple tensors. More…
// structs struct dnnl::sum; // global functions dnnl_status_t DNNL_API dnnl_sum_primitive_desc_create( dnnl_primitive_desc_t* sum_primitive_desc, const dnnl_memory_desc_t* dst_desc, int n, const float* scales, const dnnl_memory_desc_t* src_descs, const_dnnl_primitive_attr_t attr, dnnl_engine_t engine );

Detailed Documentation

A primitive to sum multiple tensors.
See also:
Sum in developer guide
Global Functions
dnnl_status_t DNNL_API dnnl_sum_primitive_desc_create( dnnl_primitive_desc_t* sum_primitive_desc, const dnnl_memory_desc_t* dst_desc, int n, const float* scales, const dnnl_memory_desc_t* src_descs, const_dnnl_primitive_attr_t attr, dnnl_engine_t engine )
Creates a primitive descriptor for an (out-of-place) sum primitive.
Parameters:
sum_primitive_desc
Output primitive descriptor.
dst_desc
Destination memory descriptor.
n
Number of source parameters.
scales
Vector of scales to multiply data in each source memory by.
src_descs
Array of source memory descriptors having
n
elements.
attr
Primitive attributes to use (can be NULL).
engine
Engine to use.
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.