This section describes the legacy DNNDK programming interface available only for the Edge DPU.
DNNDK legacy APIs are regarded as Vitis AI advanced low-level C++/Python programming interface. It consists
of a comprehensive set of APIs that can flexibly meet the diverse requirements under
various edge scenarios. For example, low-level API dpuSetTaskPriority() can be used to specify the scheduling priority of DPU
tasks so that different models can be scheduled under the dedicated priorities. dpuSetTaskAffinity() can be used to dynamically assign DPU
tasks to desired DPU cores so that you can participate in DPU cores' assignment and
scheduling as required. Meanwhile, such advanced APIs bring forward compatibility so
that DNNDK legacy projects can be ported to Vitis
platform without any modifications to the existing source code.
Vitis AI advanced low-level C++ APIs are
implemented within runtime library libn2cube for the
Edge DPU and are exported within header file n2cube.h,
which represents in header file dnndk.h. Hence the
users only need to include dnndk.h at the source
code.
In the meantime, you can adopt the suited low-level Python APIs in module
n2cube, which are equivalent wrappers for those C++ APIs in library libn2cube. With the Python programming interface, you can
reuse the Python code developed during model training phase and quickly deploy the
models on edge DPU for evaluation purpose.