Matrix Multiplication¶
Overview¶
A primitive to perform matrix-matrix multiplication. More…
// structs struct dnnl_matmul_desc_t; struct dnnl::matmul; // global functions dnnl_status_t DNNL_API dnnl_matmul_desc_init( dnnl_matmul_desc_t* matmul_desc, 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 );
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_desc_init( dnnl_matmul_desc_t* matmul_desc, 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 )
Initializes a matrix multiplication descriptor.
Parameters:
matmul_desc |
Output descriptor for matmul primitive. |
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). |
Returns:
dnnl_success on success and a status describing the error otherwise.