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.