Intel® oneAPI Deep Neural Network Developer Guide and Reference
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Matrix Multiplication
Overview
A primitive to perform matrix-matrix multiplication. More…
// structs
struct dnnl::matmul;
// global functions
dnnl_status_t DNNL_API dnnl_matmul_primitive_desc_create(
    dnnl_primitive_desc_t* primitive_desc,
    dnnl_engine_t engine,
    const_dnnl_memory_desc_t src_desc,
    const_dnnl_memory_desc_t weights_desc,
    const_dnnl_memory_desc_t bias_desc,
    const_dnnl_memory_desc_t dst_desc,
    const_dnnl_primitive_attr_t attr
    );Detailed Documentation
A primitive to perform matrix-matrix multiplication.
The batched mode is supported with 3D tensors.
See also:
Matrix Multiplication in developer guide
Global Functions
dnnl_status_t DNNL_API dnnl_matmul_primitive_desc_create(
    dnnl_primitive_desc_t* primitive_desc,
    dnnl_engine_t engine,
    const_dnnl_memory_desc_t src_desc,
    const_dnnl_memory_desc_t weights_desc,
    const_dnnl_memory_desc_t bias_desc,
    const_dnnl_memory_desc_t dst_desc,
    const_dnnl_primitive_attr_t attr
    )Creates a primitive descriptor for a matrix multiplication primitive.
Parameters:
| primitive_desc | Output primitive descriptor. | 
| engine | Engine to use. | 
| src_desc | Source memory descriptor (matrix A) | 
| weights_desc | Weights memory descriptor (matrix B) | 
| bias_desc | Bias memory descriptor. Passing NULL, a zero memory descriptor, or a memory descriptor with format_kind set to dnnl_format_kind_undef disables the bias term. | 
| dst_desc | Destination memory descriptor (matrix C). | 
| attr | Primitive attributes (can be NULL). | 
Returns:
dnnl_success on success and a status describing the error otherwise.