Intel® oneAPI Deep Neural Network Developer Guide and Reference
A newer version of this document is available. Customers should click here to go to the newest version.
Concat
Overview
A primitive to concatenate data by arbitrary dimension. More…
// structs
struct dnnl::concat;
// global functions
dnnl_status_t DNNL_API dnnl_concat_primitive_desc_create(
    dnnl_primitive_desc_t* concat_primitive_desc,
    dnnl_engine_t engine,
    const_dnnl_memory_desc_t dst_desc,
    int n,
    int concat_dimension,
    const_dnnl_memory_desc_t const* src_descs,
    const_dnnl_primitive_attr_t attr
    ); 
  Detailed Documentation
A primitive to concatenate data by arbitrary dimension.
See also:
Concat in developer guide
Global Functions
dnnl_status_t DNNL_API dnnl_concat_primitive_desc_create(
    dnnl_primitive_desc_t* concat_primitive_desc,
    dnnl_engine_t engine,
    const_dnnl_memory_desc_t dst_desc,
    int n,
    int concat_dimension,
    const_dnnl_memory_desc_t const* src_descs,
    const_dnnl_primitive_attr_t attr
    ) 
   Creates a primitive descriptor for an out-of-place concatenation primitive.
Parameters:
concat_primitive_desc  |  
        Output primitive descriptor.  |  
       
dst_desc  |  
        Destination memory descriptor.  |  
       
n  |  
        Number of source parameters.  |  
       
concat_dimension  |  
        Source tensors will be concatenated over dimension with this index. Note that order of dimensions does not depend on memory format.  |  
       
src_descs  |  
        Array of source memory descriptors with n elements.  |  
       
attr  |  
        Primitive attributes to use (can be NULL).  |  
       
engine  |  
        Engine to use.  |  
       
Returns:
dnnl_success on success and a status describing the error otherwise.