Intel® oneAPI Deep Neural Network Developer Guide and Reference
Ukernels
Overview
Collection of ukernels. More…
// namespaces
namespace dnnl::ukernel;
// typedefs
typedef struct dnnl_ukernel_attr_params* dnnl_ukernel_attr_params_t;
typedef const struct dnnl_ukernel_attr_params* const_dnnl_ukernel_attr_params_t;
// enums
enum dnnl_pack_type_t;
// structs
struct dnnl_ukernel_attr_params;
// global functions
dnnl_status_t DNNL_API dnnl_ukernel_attr_params_create(dnnl_ukernel_attr_params_t* attr_params);
dnnl_status_t DNNL_API dnnl_ukernel_attr_params_set_post_ops_args(
dnnl_ukernel_attr_params_t attr_params,
const void** post_ops_args
);
dnnl_status_t DNNL_API dnnl_ukernel_attr_params_set_A_scales(
dnnl_ukernel_attr_params_t attr_params,
const void* a_scales
);
dnnl_status_t DNNL_API dnnl_ukernel_attr_params_set_B_scales(
dnnl_ukernel_attr_params_t attr_params,
const void* b_scales
);
dnnl_status_t DNNL_API dnnl_ukernel_attr_params_set_D_scales(
dnnl_ukernel_attr_params_t attr_params,
const void* d_scales
);
dnnl_status_t DNNL_API dnnl_ukernel_attr_params_destroy(dnnl_ukernel_attr_params_t attr_params);Detailed Documentation
Collection of ukernels.
Typedefs
typedef struct dnnl_ukernel_attr_params* dnnl_ukernel_attr_params_tA ukernel attributes memory storage handle.
typedef const struct dnnl_ukernel_attr_params* const_dnnl_ukernel_attr_params_tA constant ukernel attributes memory storage handle.
Global Functions
dnnl_status_t DNNL_API dnnl_ukernel_attr_params_create(dnnl_ukernel_attr_params_t* attr_params)Creates a ukernel attributes memory storage.
Parameters:
attr_params |
Output ukernel attributes memory storage. |
Returns:
dnnl_success on success and a status describing the error otherwise.
dnnl_status_t DNNL_API dnnl_ukernel_attr_params_set_post_ops_args(
dnnl_ukernel_attr_params_t attr_params,
const void** post_ops_args
)Sets post-operations arguments to a storage.
Parameters:
attr_params |
Memory pointers storage object. |
post_ops_args |
A pointer to pointers of post_ops storages. Expected to be packed together. |
Returns:
dnnl_success on success and a status describing the error otherwise.
dnnl_status_t DNNL_API dnnl_ukernel_attr_params_set_A_scales(
dnnl_ukernel_attr_params_t attr_params,
const void* a_scales
)Sets tensor A scales argument to a storage.
Parameters:
attr_params |
Memory pointers storage object. |
a_scales |
Pointer to the scales storage. |
Returns:
dnnl_success on success and a status describing the error otherwise.
dnnl_status_t DNNL_API dnnl_ukernel_attr_params_set_B_scales(
dnnl_ukernel_attr_params_t attr_params,
const void* b_scales
)Sets tensor B scales argument to a storage.
If dnnl_brgemm_set_B_scales used mask of 2, then at least N values of selected data type are expected.
Parameters:
attr_params |
Memory pointers storage object. |
b_scales |
Pointer to the scales storage. |
Returns:
dnnl_success on success and a status describing the error otherwise.
dnnl_status_t DNNL_API dnnl_ukernel_attr_params_set_D_scales(
dnnl_ukernel_attr_params_t attr_params,
const void* d_scales
)Sets tensor D scales argument to a storage.
Parameters:
attr_params |
Memory pointers storage object. |
d_scales |
Pointer to the scales storage. |
Returns:
dnnl_success on success and a status describing the error otherwise.
dnnl_status_t DNNL_API dnnl_ukernel_attr_params_destroy(dnnl_ukernel_attr_params_t attr_params)Destroys a ukernel attributes memory storage.
Parameters:
attr_params |
Memory pointers storage object to destroy. |
Returns:
dnnl_success on success and a status describing the error otherwise.