Listing 2. Python framework to automate the configuration and generation of the DNN model for a specific FPGA.

from DNN_framework_lib.layers import Inputlayer, Hiddenlayer, Outputlayer from DNN_framework_lib.models import~Sequential # Configuration input_layer = Inputlayer(  size=input_size,  loop1="unrolling",  loop3="pipeline_and_unrolling",  input_layer="AXI-MM"  output_layer="AXI-Stream" ) hidden_layers = [  Hidden_layer(   size=layer2_size,   loop3="pipeline_and_unrolling",   input_layer="AXI-Stream",   output_layer="AXI-MM"  ), ...  Hiddenlayer(  size=layerN_size,  loop1="unrolling" ] output_layer = Outputlayer(  size=output_size, ) model = Sequential(board_name,...) mode.add(input_layer) for layer in hidden_layers:  model.add(layer) model.compile()