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.