Intel® oneAPI Deep Neural Network Developer Guide and Reference
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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.