Kratos runtime for debugging
Kratos Debugger Runtime
This is the runtime library required to debug Kratos hardware designs. It offers realtime interaction between the simulator and a debugger, which can either be Visual Studio Code, or any debugger that talks HTTP REST protocol.
This library also ships with a Python API which you can use in your Python code to control the simulator. It does not implement the full-feature of all the protocols the runtime supports, but it's a good place to start if you are going to implement your own debugger to interface the runtime.
How to install kratos-runtime
There are a couple ways to install kratos-runtime. You
need a C++17 compatible compiler, such as
g++-8 to compile the library.
The Python API requires Python3 to run.
Install from PyPI
If you're using Linux, the easiest way to install is through pip. Do
pip install kratos-runtime
After installing, do
python -c "from kratos_runtime import get_lib_path; print(get_lib_path())"
which will tell you where the pre-built library is and you can use that to
link to your design. You can also call
get_ncsim_flag() to get necessary
Build from source
If you want the built-in Python tools:
$ git clone https://github.com/Kuree/kratos-runtime $ cd kratos-runtime $ git submodule update --init --recursive $ pip install .
If you just want the runtime library, do:
$ git clone https://github.com/Kuree/kratos-runtime $ cd kratos-runtime $ git submodule update --init --recursive $ mkdir build $ cd ./build $ cmake .. $ make -j
After that, you can find the library as
can either copy that library to any place you like or simply use symbolic
A note for macOS
Due to the restriction of macOS, all symbols have to be resolved during the linking time, which means all the VPI calls need to have actual symbol when linked as the final shared object. However, this is not doable in our case since the actual VPI implementation is offered by the vendor. As a result, you cannot use this project, even if you have Verilator working on macOS.
How to use kratos-runtime
The following instruction is based on Linux and tested against Verilator and ncsim.
Generate Kratos-Runtime debug database for your design
verilog() function, you can supply another argument called
debug_db_filename to specify the location where kratos can output the
verilog(your_design, debug_db_filename="debug.db", insert_debug_info=True)
Using Kratos-runtime with Verilator
Once you have compiled the shared library, you can ask
verialtor to link your test bench with
kratos-runtime. Before you do that,
since we need to read the internal signals, we need to inject
specific info via a pass:
When invoking the
verilator command, you need to specify the kratos runtime
name as well as
--vpi switch, for instance:
verilator --cc design.sv test_tb.sv libkratos-runtime.so --vpi --exe
You can symbolic link
obj_dir so that the linker
and find it easily.
Once the test bench is compiled, you need to use
LD_LIBRARY_PATH to let the
system to load, such as
$ LD_LIBRARY_PATH=./obj_dir/ ./obj_dir/Vtest
Or you can let the linker to fix the shared library path in the
which is beyond the scope of this tutorial.
An alternative is to use the built-in Python helper class.
You can use
kratos_runtime.VerilatorTester to run your verilator design.
with VerilatorTester(*files, cwd=temp) as tester: tester.run()
files is a list of files. By default the
run() is non-blocking, so
you can attach your debugger with the runtime.
Using kratos-runtime with Ncsim
Ncsim is much easier to use than
verilator. Once you have the design, simply
tell the simulator that you want to load the vpi and dpi library, such as
irun test_tb.sv test.sv -sv_lib libkratos-runtime.so -loadvpi libkratos-runtime.so:initialize_runtime_vpi -access +r
-access +r is necessary to allow the runtime to read out simulation variables.
You can also use
kratos_runtime.NCSimTester to run your design.
with NCSimTester(*files) as tester: tester.run()
What to do after launch the simulation
You can now use any debugger that's compatible with the Kratos debug protocol. Kratos has provide an open-source version of debugger extension inside VS Code. You can install it here and use it to debug your design.
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