Intel® oneAPI Deep Neural Network Developer Guide and Reference
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Binary
Overview
A primitive to perform tensor operations over two tensors. More…
// structs
struct dnnl::binary;
// global functions
dnnl_status_t DNNL_API dnnl_binary_primitive_desc_create(
    dnnl_primitive_desc_t* primitive_desc,
    dnnl_engine_t engine,
    dnnl_alg_kind_t alg_kind,
    const_dnnl_memory_desc_t src0_desc,
    const_dnnl_memory_desc_t src1_desc,
    const_dnnl_memory_desc_t dst_desc,
    const_dnnl_primitive_attr_t attr
    );Detailed Documentation
A primitive to perform tensor operations over two tensors.
See also:
Binary in developer guide
Global Functions
dnnl_status_t DNNL_API dnnl_binary_primitive_desc_create(
    dnnl_primitive_desc_t* primitive_desc,
    dnnl_engine_t engine,
    dnnl_alg_kind_t alg_kind,
    const_dnnl_memory_desc_t src0_desc,
    const_dnnl_memory_desc_t src1_desc,
    const_dnnl_memory_desc_t dst_desc,
    const_dnnl_primitive_attr_t attr
    )Creates a primitive descriptor for a binary primitive.
Parameters:
| primitive_desc | Output primitive descriptor. | 
| engine | Engine to use. | 
| alg_kind | Algorithm kind. Valid values are dnnl_binary_add, dnnl_binary_mul, dnnl_binary_max, dnnl_binary_min, dnnl_binary_div, dnnl_binary_sub, dnnl_binary_ge, dnnl_binary_gt, dnnl_binary_le, dnnl_binary_lt, dnnl_binary_eq and dnnl_binary_ne. | 
| src0_desc | Source 0 memory descriptor. | 
| src1_desc | Source 1 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.