To generate a custom bitstream to deploy a deep learning network to your target device,
use the dlhdl.ProcessorConfig
object.
Create a dlhdl.ProcessorConfig
object.
hPC = dlhdl.ProcessorConfig;
Setup the tool path to your design tool. For example, to setup the path to the Vivado® design tool, enter:
hdlsetuptoolpath('ToolName', 'Xilinx Vivado', 'ToolPath', 'C:\Xilinx\Vivado\2019.2\bin\vivado.bat');
Generate the custom bitstream.
dlhdl.buildProcessor(hPC);
After the bitstream generation is completed, you can locate the bitstream file at
cwd\dlhdl_prj\vivado_ip_prj\vivado_prj.runs\impl_1
, where
cwd
is your current working directory. The name of the bitstream
file is system_top_wrapper.bit
. The associated
system_top_wrapper.mat
file is located in the top level of the
cwd
.
To use the generated bitstream for the supported Xilinx® boards, you should copy the system_top_wrapper.bit
and
system_top_wrapper.mat
files to the same folder.
To use the generated bitstream for the supported Intel® boards, you should copy the system_core.rbf
,
system.mat
, system_periph.rbf
, and
system.sof
files to the same folder.
Deploy the custom bitstream and deep learning network to your target device.
hTarget = dlhdl.Target('Xilinx'); snet = alexnet; hW = dlhdl.Workflow('Network',snet,'Bitstream','system_top_wrapper.bit','Target',hTarget); % If your custom bitstream files are in a different folder, use: % hW = dlhdl.Workflow('Network',snet,'Bitstream',... 'C:\yourfolder\system_top_wrapper.bit','Target',hTarget); hW.compile; hW.deploy;
Bitstream Resource Utilization (Deep Learning HDL Toolbox Support Package for Intel FPGA and SoC Devices)
Bitstream Resource Utilization (Deep Learning HDL Toolbox Support Package for Xilinx FPGA and SoC Devices)
dlhdl.buildProcessor
| dlhdl.ProcessorConfig
| dlhdl.Workflow