The goal of the DesignFlow Python tool is to provide a replacement for Makefiles, especially the complex system that has been developped for alliance-check-toolkit. It is build upon DoIt (DoIt).
Both as a tribute to Makefile, to avoid ambiguties with DoIt and to remember that they are task generators, the classes defined to create tasks for the design flow are called rules.
There is a very important execution difference from a Makefile. In a Makefile each rule command is executed in a a separated process, so information is effectively passed through files which are written then read from disk. But in DoIt we are running inside one Python process, so while using Coriolis and the Hurricane database, all informations stays in memory. Files are driven, but not re-read as the database will use the datas already present in memory.
This is not whitout consequences about determism. Let's look at two different scenarii.
We run straight from the RTL to the layout, using the rule/task sequence:
Yosys => design.blif => blif2vst => design.vst => PnR => design.gds
In this case, while design.vst is written on disk, the PnR stage will not re-read the vst file and directly access the data in memory.
Run in two separated steps, first we create the vst file:
Yosys => design.blif => blif2vst => design.vst
Then, we perform the PnR:
design.vst => PnR => design.gds
In this case, as the DoIt processess has been restarted between the two tasks, the PnR stage will read the vst file.
The determism in Coriolis is ensured through the unique identifiers of the objects, attributed in creation order. So between thoses two scenarii, the identifiers will change and so the algorithm results. The differences should be minor as the identifiers are used as a last ditch test to sort between two objects which cost functions are exactly equal, nevertheless, it will occur.
Note
Coriolis is deterministic, meaning that each scenario will always give the same result. The difference is truly between scenarii.
One of the most tricky part of setting up the design flow is to locate where the various components are. The script needs to be able to find:
Coriolis, binaries & libraries. This depends widely of your kind of installation and system. The helper script crlenv.py supplied both in alliance-check-toolkit and Coriolis may help you there. It looks in all the standard locations (that it is aware of) to try to find it.
Note
Usually, Alliance is installed in the same tree as Coriolis, so it's setup can be deduced from it.
The configurations files for the technology to be used. Here again, the designflow.technos module provides you with a set of pre-defined configurations for open sources technologie shipped with Coriolis. For unsupported ones, you may write your own, it should perform the whole initialization of the Coriolis and Hurricane database.
Optionnaly the alliance-check-toolkit.
This example can be found in alliance-check-toolkit, under benchs/arlet6502/sky130_c4m.
from designflow.technos import setupSky130_c4m setupSky130_c4m( checkToolkit='../../..' , pdkMasterTop='../../../pdkmaster/C4M.Sky130' ) DOIT_CONFIG = { 'verbosity' : 2 } from designflow.pnr import PnR from designflow.yosys import Yosys from designflow.blif2vst import Blif2Vst from designflow.alias import Alias from designflow.clean import Clean PnR.textMode = True from doDesign import scriptMain ruleYosys = Yosys .mkRule( 'yosys', 'Arlet6502.v' ) ruleB2V = Blif2Vst.mkRule( 'b2v' , [ 'arlet6502.vst' , 'Arlet6502.spi' ] , [ruleYosys] , flags=0 ) rulePnR = PnR .mkRule( 'pnr' , [ 'arlet6502_cts_r.gds' , 'arlet6502_cts_r.spi' , 'arlet6502_cts_r.vst' ] , [ruleB2V] , scriptMain ) ruleCgt = PnR .mkRule( 'cgt' ) ruleGds = Alias .mkRule( 'gds', [rulePnR] ) ruleClean = Clean .mkRule()
You can run it with:
ego@home:sky130_c4m> ../../../bin/crlenv.py -- doit list b2v Run <blif2vst arlet6502 depends=[Arlet6502.blif]>. cgt Run plain CGT (no loaded design) clean_flow Clean all generated (targets) files. gds Run <Alias "gds" for "pnr">. pnr Run <pnr arlet6502_cts_r.gds depends=[arlet6502.vst,Arlet6502.spi]>. yosys Run <yosys Arlet6502.v top=Arlet6502 blackboxes=[] flattens=[]>. ego@home:sky130_c4m> ../../../bin/crlenv.py -- doit pnr ego@home:sky130_c4m> ../../../bin/crlenv.py -- doit clean_flow
Let's have a detailed look on the various parts of the script.
Choosing the technology Here, we load the predefined configuration for SkyWater 130nm. We also have to give the location of the alliance-check-toolkit, it may be relative or absolute.
If you want to use another one, it up to you to configure Coriolis at this point by any means you see fit.
from designflow.technos import setupSky130_c4m setupSky130_c4m( checkToolkit='../../..' , pdkMasterTop='../../../pdkmaster/C4M.Sky130' )
Loading the various task/rule generators that we will use, from the designflow namespace. The rules are named from the tool they encapsulate.
from designflow.pnr import PnR from designflow.yosys import Yosys from designflow.blif2vst import Blif2Vst from designflow.alias import Alias from designflow.clean import Clean PnR.textMode = True
Creating the rule set. Each rule generator as a static method mkRule() to create a new task. The three first parameters are always:
There are two more special rules:
Alias, to rename a rule. It this case gds is defined as an alias to PnR (because it generate the gds file).
Clean to create a rule that will remove all the generated targets.
Note
The clean rule is named clean_flow because DoIt already have a clean arguments which would shadow it.
PnR.textMode = True from doDesign import scriptMain ruleYosys = Yosys .mkRule( 'yosys', 'Arlet6502.v' ) ruleB2V = Blif2Vst.mkRule( 'b2v' , [ 'arlet6502.vst' , 'Arlet6502.spi' ] , [ruleYosys] , flags=0 ) rulePnR = PnR .mkRule( 'pnr' , [ 'arlet6502_cts_r.gds' , 'arlet6502_cts_r.spi' , 'arlet6502_cts_r.vst' ] , [ruleB2V] , scriptMain ) ruleCgt = PnR .mkRule( 'cgt' ) ruleGds = Alias .mkRule( 'gds', [rulePnR] ) ruleClean = Clean .mkRule()
Support for the Alliance legacy tools. They are run through sub-processes. For more detailed documentation about those tools, refer to their man pages.
Alias, create a name alias for a rule.
Clean, remove all the generated targets of all the rules. The name of the rule is clean_flow` to not interfer with the |DoIt| clean arguments. Files not part of any rules targets can be added to be removeds. Then, to actually remove them, add the ``--extras flag to the command line.
ego@home:sky130_c4m> ../../../bin/crlenv.py -- doit clean_flow --extras
Copy, copy a file into the current directory.