Merge branch 'flow_scripts' of github.com:TILOS-AI-Institute/MacroPlacement into flow_scripts

.gitignore

@@ -3,3 +3,9 @@ Flows/*/*/run-*
 Flows/job
 Flows/util/__pycache__
 CodeElements/*/*/__pycache__
+CodeElements/Plc_client/test/
+CodeElements/Plc_client/test/*/*
+CodeElements/Plc_client/plc_client_os.py
+CodeElements/Plc_client/__pycache__/*
+CodeElements/Plc_client/proto_reader.py
+CodeElements/Plc_client/plc_client.py

CodeElements/Plc_client/README.md

@@ -9,7 +9,20 @@ curl 'https://raw.githubusercontent.com/google-research/circuit_training/main/ci
 sudo curl https://storage.googleapis.com/rl-infra-public/circuit-training/placement_cost/plc_wrapper_main \
   -o  /usr/local/bin/plc_wrapper_main
 # Run plc testbench
-python -m Plc_client.plc_client_os_test
+# python -m Plc_client.plc_client_os_test [-h] [--helpfull] --netlist NETLIST [--plc PLC] --width WIDTH --height HEIGHT --col COL --row ROW [--rpmh RPMH] [--rpmv RPMV] [--marh MARH] [--marv MARV] [--smooth SMOOTH]
+
+# Example
+python -m Plc_client.plc_client_os_test --netlist ./Plc_client/test/ariane/netlist.pb.txt\
+          --plc ./Plc_client/test/ariane/initial.plc\
+          --width 356.592\
+          --height 356.640\
+          --col 35\
+          --row 33\
+          --rpmh 10\
+          --rpmv 10\
+          --marh 5\
+          --marv 5\
+          --smooth 2
 ```
 
 ## HPWL Computation
@@ -27,15 +40,15 @@ $$
 HPWL(netlist) = \sum_{i}^{N_{netlist}} W_{i\_{source}} \cdot [max_{b\in i}(x_b) - min_{b\in i}(x_b) + max_{b\in i}(y_b) - min_{b\in i}(y_b)]
 $$
 
-## Density  Cost Computation
+## Density Cost Computation
 Density cost is computed from grid cells density.
 
 By default, any given input will have grid col/row set to 10/10 until user later defines in the .plc file.
 
-Grid cell density is represented as an 1D array where the length is set to be 
+Grid cell density is represented as an 1D array where the length is set to be the following:
 
 $$
-grid_\{col} \cdot grid_\{row}
+grid_{col} \cdot grid_{row}
 $$
 
 Each entry of this array represents the current occupied precentage within this cell.

Flows/util/RePlAceFlow/convert_bookshelf2odb.py

+import odb
+import os
+import datetime
+import math
+from math import gcd
+
+class BookshelfToOdb:
+    def __init__(
+            self,
+            opendbpy,
+            opendb,
+            cellPadding,
+            modeFormat,
+            plFile,
+            nodeMapFile,
+            netMapFile):
+        self.odbpy = opendbpy
+        self.odb = opendb
+        self.year = datetime.datetime.now().year
+        self.month = datetime.datetime.now().strftime("%b")
+        self.day = datetime.datetime.now().day
+        self.user = 'Seungwon Kim at University of California, San Diego (sek006@ucsd.edu)'
+        self.modeFormat = modeFormat
+        self.plFile = plFile
+        self.nodeMapFile = nodeMapFile
+        self.netMapFile = netMapFile
+
+        self.chip = self.odb.getChip()
+        self.block = self.chip.getBlock()
+        self.siteWidth = self.block.getRows()[0].getSite().getWidth()
+        self.siteHeight = self.block.getRows()[0].getSite().getHeight()
+        print("siteWidth: %s" % self.siteWidth)
+        print("siteHeight: %s" % self.siteHeight)
+        print("GCD: %s" % gcd(self.siteWidth, self.siteHeight))
+        #self.scaleFactor = self.targetScale / self.siteHeight
+        self.scaleFactor = 1 / gcd(self.siteWidth, self.siteHeight)
+        self.targetScale = self.scaleFactor * self.siteHeight
+        print("Target siteHeight Scale: %s" % self.targetScale)
+        print(
+            "Scale Factor (Target siteHeight Scale / siteHeight): %s" %
+            self.scaleFactor)
+
+    def UpdatePl(self, dictNode):
+        with open(self.plFile, 'r') as inFile:
+            for line in inFile:
+                if len(line) < 3:
+                    continue
+                if line.strip().startswith("UCLA"):
+                    continue
+                if line.strip().startswith("#"):
+                    continue
+                elif ':' not in line:
+                    continue
+                elif self.modeFormat == 'ISPD11' and line.split()[-1] == '/FIXED':
+                    # Fixed insts.
+                    # It has defined in the original ODB, so don't need to
+                    # update.
+                    continue
+                elif (self.modeFormat == 'ISPD11' and line.split()[-1] == '/FIXED_NI') or (self.modeFormat != 'ISPD11' and line.split()[-1] == '/FIXED'):
+                    # Fixed insts + boundary terminals
+                    instMappedName = line.split()[0]
+                    instLlx = float(line.split()[1])
+                    instLly = float(line.split()[2])
+                    instOrigName = dictNode[instMappedName]
+                    #print(instOrigName, instMappedName)
+                    # print(self.block.findBTerm(instOrigName))
+                    bTerm = self.block.findBTerm(instOrigName)
+                    if bTerm is not None:
+                        bPins = bTerm.getBPins()
+                        for bPin in bPins:
+
+                            boxes = bPin.getBoxes()
+                            # TODO: do not support multiple boxes
+                            assert(len(boxes) == 1)
+                            for box in boxes:
+                                bTermWidth = int(box.xMax() - box.xMin())
+                                bTermHeight = int(box.yMax() - box.yMin())
+                                #print(bTermWidth, bTermHeight)
+
+                                layerBPin = box.getTechLayer()
+                                bPin.destroy(bPin)
+                                bPin.create(bTerm)
+                                bPinLlx = int(instLlx / self.scaleFactor)
+                                bPinLly = int(instLly / self.scaleFactor)
+                                bPinUrx = int(
+                                    instLlx / self.scaleFactor) + int(bTermWidth)
+                                bPinUry = int(
+                                    instLly / self.scaleFactor) + int(bTermHeight)
+                                box.create(
+                                    bPin, layerBPin, bPinLlx, bPinLly, bPinUrx, bPinUry)
+                                # print(bPinLlx,bPinLly,bPinUrx,bPinUry)
+                                bPin.setPlacementStatus('PLACED')
+                                # TODO: Snapping to on-track?
+                    continue
+                else:
+                    instMappedName = line.split()[0]
+                    instLlx = float(line.split()[1])
+                    instLly = float(line.split()[2])
+                    instOrigName = dictNode[instMappedName]
+                    #print(instOrigName, instMappedName)
+                    # print(self.block.findInst(instOrigName))
+
+                    instOrig = self.block.findInst(instOrigName)
+                    instOrigWidth = instOrig.getMaster().getWidth()
+                    instOrigHeight = instOrig.getMaster().getHeight()
+
+                    instOrigLlx = int(instLlx / self.scaleFactor)
+                    instOrigLly = int(instLly / self.scaleFactor)
+
+                    instOrig.setLocation(instOrigLlx, instOrigLly)
+                    instOrig.setPlacementStatus('PLACED')
+                    # TODO: Snapping to on-track?
+
+    def DecodeMap(self):
+        dictNode = dict()
+        with open(self.nodeMapFile, 'r') as inFile:
+            for line in inFile:
+                origName = line.split()[0]
+                mappedName = line.split()[1]
+                dictNode[mappedName] = origName
+
+        return dictNode
+
+    def UpdateOdb(self):
+        dictNode = self.DecodeMap()
+        self.UpdatePl(dictNode)
+        os.path.exists
+        dbName = './output/%s_pad%s_%s/%s_pad%s_%s_mapped.odb' % (
+            odbName, cellPadding, modeFormat, odbName, cellPadding, modeFormat)
+        defName = './output/%s_pad%s_%s/%s_mapped.def' % (
+            odbName, cellPadding, modeFormat, odbName)
+
+        if os.path.exists(dbName):
+            os.remove(dbName)
+        if os.path.exists(defName):
+            os.remove(defName)
+
+        odb.write_db(
+            self.odb,
+            './%s_pad%s_%s/%s_pad%s_%s_mapped.odb' %
+            (odbName,
+             cellPadding,
+             modeFormat,
+             odbName,
+             cellPadding,
+             modeFormat))
+        odb.write_def(
+            self.block,
+            './%s_pad%s_%s/%s_mapped.def' %
+            (odbName,
+             cellPadding,
+             modeFormat,
+             odbName))
+
+
+if __name__ == "__main__":
+
+    ################ Settings #################
+    odbPath = './odbFiles'
+
+    # The number of sites for cell padding (+left, +right)
+    cellPaddings = [0, 1, 2, 3, 4]
+
+    # Format list of Bookshelf to be created.
+    modeFormats = ['ISPD04', 'ISPD11']
+
+    # OpenDB list for Bookshelf generation
+    odbList = [
+        'sky130hd_ISPD2006_adaptec1',
+    ]
+    ###########################################
+
+    for modeFormat in modeFormats:
+        for cellPadding in cellPaddings:
+            for odbName in odbList:
+                plFile = './output/%s_pad%s_%s/%s_pad%s_%s_mapped.ntup.pl' % (
+                    odbName, cellPadding, modeFormat, odbName, cellPadding, modeFormat)
+                nodeMapFile = './output/%s_pad%s_%s/%s_pad%s_%s_mapped.nodemap' % (
+                    odbName, cellPadding, modeFormat, odbName, cellPadding, modeFormat)
+                netMapFile = './output/%s_pad%s_%s/%s_pad%s_%s_mapped.netmap' % (
+                    odbName, cellPadding, modeFormat, odbName, cellPadding, modeFormat)
+                db = odb.dbDatabase.create()
+                print(odb)
+                odb.read_db(db, '%s/%s.odb' % (odbPath, odbName))
+                bs = BookshelfToOdb(
+                    opendbpy=odb,
+                    opendb=db,
+                    cellPadding=cellPadding,
+                    modeFormat=modeFormat,
+                    plFile=plFile,
+                    nodeMapFile=nodeMapFile,
+                    netMapFile=netMapFile)
+                bs.UpdateOdb()

Flows/util/convert_odb2bookshelf.py → Flows/util/RePlAceFlow/convert_odb2bookshelf.py

-#import opendbpy as odb
 import odb
 import os
 import datetime
 import math
+import namemap
 from math import gcd
-# import namemap
 
 
 class OdbToBookshelf:
@@ -126,7 +125,7 @@ class OdbToBookshelf:
     def WriteNodes(self, bsName):
         print("Writing .nodes")
         f = open('./output/%s/%s.nodes' % (bsName, bsName), 'w')
-        f.write('UCSD nodes 1.0\n')
+        f.write('UCLA nodes 1.0\n')
         f.write(
             '# Created  :  %s  %s %s\n' %
             (self.month, self.day, self.year))
@@ -214,7 +213,7 @@ class OdbToBookshelf:
     def WriteRoute(self, bsName):
         print("Writing .route")
         f = open('./output/%s/%s.route' % (bsName, bsName), 'w')
-        f.write('UCSD route 1.0\n')
+        f.write('UCLA route 1.0\n')
         f.write(
             '# Created  :  %s  %s %s\n' %
             (self.month, self.day, self.year))
@@ -435,7 +434,7 @@ class OdbToBookshelf:
     def WriteWts(self, bsName):
         print("Writing .wts")
         f = open('./output/%s/%s.wts' % (bsName, bsName), 'w')
-        f.write('UCSD wts 1.0\n')
+        f.write('UCLA wts 1.0\n')
         f.write(
             '# Created  :  %s  %s %s\n' %
             (self.month, self.day, self.year))
@@ -445,7 +444,7 @@ class OdbToBookshelf:
     def WriteNets(self, bsName):
         print("Writing .nets")
         f = open('./output/%s/%s.nets' % (bsName, bsName), 'w')
-        f.write('UCSD nets 1.0\n')
+        f.write('UCLA nets 1.0\n')
         f.write(
             '# Created  :  %s  %s %s\n' %
             (self.month, self.day, self.year))
@@ -531,29 +530,15 @@ class OdbToBookshelf:
                         #
                         # "getGeomShape().getPoints()" --> a, b, c, d, a
                         #
-                        #tx = 0
-                        #ty = 0
-                        # t = odb.dbTransform(instOrient, instOrig)
-                        # Calculate center of pin
-                        # for pp in box.getGeomShape().getPoints()[:-1]:
-                        #     t.apply(pp)
-                        #     tx = tx + float(pp.getX())
-                        #     ty = ty + float(pp.getY())
-                        #     #print("tx, ty = %s %s"%(pp.getX()/1000,pp.getY()/1000))
-                        #     tt = tt + 1
                         rr = odb.Rect(box.xMin(), box.yMin(), box.xMax(), box.yMax())
+                        
+                        # Calculate center of pin
                         for pp in rr.getPoints():
                             t.apply(pp)
-                            # print('Hi ',type(pp), type(box))
-                        # print('Here ', box.xMin(), box.yMin(), box.xMax(), box.yMax())
-                        # 
-                        # print(pp)
-                        # # box.getBox(pp)
-                        # print(type(pp))
-                        # t.apply(pp)
                             tt += 1
-                            tx += pp.getX()
-                            ty += pp.getY()
+                            tx += float(pp.getX())
+                            ty += float(pp.getY())
+
 
                 iPinXCen = float(tx) / float(tt)
                 iPinYCen = float(ty) / float(tt)
@@ -575,7 +560,7 @@ class OdbToBookshelf:
     def WritePl(self, bsName):
         print("Writing .pl")
         f = open('./output/%s/%s.pl' % (bsName, bsName), 'w')
-        f.write('UCSD pl 1.0\n')
+        f.write('UCLA pl 1.0\n')
         f.write(
             '# Created  :  %s  %s %s\n' %
             (self.month, self.day, self.year))
@@ -637,7 +622,7 @@ class OdbToBookshelf:
     def WriteScl(self, bsName):
         print("Writing .scl")
         f = open('./output/%s/%s.scl' % (bsName, bsName), 'w')
-        f.write('UCSD scl 1.0\n')
+        f.write('UCLA scl 1.0\n')
         f.write(
             '# Created  :  %s  %s %s\n' %
             (self.month, self.day, self.year))
@@ -731,7 +716,7 @@ class OdbToBookshelf:
     def WriteShapes(self, bsName):
         print("Writing .shapes")
         f = open('./output/%s/%s.shapes' % (bsName, bsName), 'w')
-        f.write('UCSD shapes 1.0\n')
+        f.write('UCLA shapes 1.0\n')
         f.write(
             '# Created  :  %s  %s %s\n' %
             (self.month, self.day, self.year))
@@ -808,11 +793,11 @@ class OdbToBookshelf:
         self.show(bsName)
 
         # convert for mapping
-        # self.convert(bsName)
+        self.convert(bsName)
 
     def convert(self, bsName):
         os.chdir('output/%s' % bsName)
-        # namemap.main('%s.aux' % bsName)
+        namemap.main('%s.aux' % bsName)
         os.chdir('../../')
 
     def show(self, bsName):

Flows/util/RePlAceFlow/lefdef_to_odb.py

+'''
+This script generates OpenDB database from LEF/DEF 
+'''
+import odb
+import sys
+import os
+import re
+
+design = sys.argv[1]
+def_file = sys.argv[2]
+output_dir = sys.argv[3]
+
+work_dir = re.search(r'(/\S+/MacroPlacement)', os.getcwd()).group(1)
+sys.path.append(f'{work_dir}/Flows/util')
+
+from convert_odb2bookshelf import OdbToBookshelf
+
+
+lef_dir = f'{work_dir}/Enablements/NanGate45/lef'
+lef_list = [f'{lef_dir}/NangateOpenCellLibrary.tech.lef',
+            f'{lef_dir}/NangateOpenCellLibrary.macro.mod.lef',
+            f'{lef_dir}/fakeram45_256x16.lef']
+
+db = odb.dbDatabase.create()
+for lef_file in lef_list:
+    odb.read_lef(db, lef_file)
+
+odb.read_def(db, def_file)
+chip = db.getChip()
+tech = db.getTech()
+libs = db.getLibs()
+
+if chip is None:
+    exit("ERROR: READ DEF Failed")
+
+if not os.path.exists(f'{output_dir}/RePlAce'):
+    os.makedirs(f'{output_dir}/RePlAce')
+
+odb_file = f'{output_dir}/RePlAce/{design}.odb'
+export_result = odb.write_db(db, odb_file)
+
+if export_result != 1:
+    exit("ERROR: Export failed")
+
+
+new_db = odb.dbDatabase.create()
+odb.read_db(new_db, odb_file)
+
+if new_db is None:
+    exit("ERROR: Import failed")
+
+if odb.db_diff(db, new_db):
+    exit("ERROR: Difference found in exported and imported DB")
+
+print(f"Successfully generated ODB format from LEF/DEF for {design}")
+
+bs = OdbToBookshelf(
+    opendbpy=odb, 
+    opendb=db, 
+    cellPadding=0,
+    modeFormat="ISPD11",
+    layerCapacity='layeradjust_empty.tcl')
+
+bs.WriteBookshelf(f'{design}_pad0_ISPD11')

Flows/util/RePlAceFlow/namemap.py

+import sys
+import subprocess as sp
+
+
+def ExecuteCommand(command):
+    print(command)
+    sp.call(command, shell=True)
+
+
+def main(arg1):
+    print(arg1, "is parsing...")
+    f = open(arg1)
+    auxCont = f.read()
+    f.close()
+
+    fileList = []
+    afterColon = False
+    for word in auxCont.split(" "):
+        if word == ":":
+            afterColon = True
+            continue
+        if afterColon:
+            fileList.append(word.strip())
+
+    print(fileList)
+
+    nodeName = [l for l in fileList if l.endswith("nodes")][0]
+    netName = [l for l in fileList if l.endswith("nets")][0]
+    plName = [l for l in fileList if l.endswith("pl")][0]
+    routeName = [l for l in fileList if l.endswith("route")][0]
+    #routeName = nodeName.split(".")[0]+".route"
+    benchName = nodeName.split(".")[0]
+    print(nodeName, netName, plName, routeName)
+
+    #######################################
+    # Nodes Mapping
+    #######################################
+
+    f = open(nodeName, "r")
+    nodeCont = f.read()
+    f.close()
+
+    nameMap = dict()
+    instCnt = 0
+    pinCnt = 0
+
+    newCont = ""
+    isFirst = True
+    for curLine in nodeCont.split("\n"):
+        wordList = curLine.split()
+        if isFirst:
+            isFirst = False
+            newCont += curLine + "\n"
+            continue
+        if len(wordList) is 0:
+            newCont += "\n"
+            continue
+        if wordList[0] is "#":
+            newCont += curLine + "\n"
+            continue
+        if wordList[0] == "NumNodes" or wordList[0] == "NumTerminals":
+            newCont += curLine + "\n"
+            continue
+
+        newWord = ""
+        # if len(wordList) >= 4 and wordList[1] is "0" and wordList[2] is "0":
+        if len(wordList) >= 4 and wordList[1] is "1" and wordList[2] is "1":
+            newWord = "p" + str(pinCnt)
+            pinCnt += 1
+            # newCont += newWord + " " + wordList[1] + " " + wordList[2] + " " + wordList[3] + "\n"
+            #newCont += "  " + newWord + " 0 0 terminal_NI\n"
+            newCont += "  " + newWord + " 1 1 terminal_NI\n"
+        elif len(wordList) >= 4 and wordList[3] == "terminal":
+            #newWord = "p"+str(pinCnt)
+            #pinCnt += 1
+            newWord = "o" + str(instCnt)
+            instCnt += 1
+            newCont += "  " + newWord + " " + " ".join(wordList[1:]) + "\n"
+        else:
+            newWord = "o" + str(instCnt)
+            instCnt += 1
+            newCont += "  " + newWord + " " + \
+                wordList[1] + " " + wordList[2] + "\n"
+        nameMap[wordList[0]] = newWord
+
+    f = open(benchName + "_mapped.nodes", "w")
+    f.write(newCont)
+    f.close()
+
+    newCont = ""
+    for key, cont in nameMap.items():
+        newCont += "%s %s\n" % (key, cont)
+    f = open(benchName + "_mapped.nodemap", "w")
+    f.write(newCont)
+    f.close()
+
+    #######################################
+    # Nets Mapping
+    #######################################
+
+    f = open(netName, "r")
+    netCont = f.read()
+    f.close()
+
+    newCont = ""
+    isFirst = True
+
+    netCnt = 0
+    netNameMap = dict()
+
+    for curLine in netCont.split("\n"):
+        wordList = curLine.split()
+        if isFirst:
+            isFirst = False
+            newCont += curLine + "\n"
+            continue
+        if len(wordList) is 0:
+            newCont += "\n"
+            continue
+        if wordList[0] is "#":
+            newCont += curLine + "\n"
+            continue
+        if wordList[0] == "NumNets" or wordList[0] == "NumPins":
+            newCont += curLine + "\n"
+            continue
+        if wordList[0] == "NetDegree":
+            newWord = "n" + str(netCnt)
+            netCnt += 1
+            netNameMap[wordList[3]] = newWord
+            newCont += " ".join(wordList[0:3]) + " " + newWord + "\n"
+            continue
+
+        newCont += "  " + nameMap[wordList[0]] + " " + wordList[1] + \
+            " " + wordList[2] + " " + wordList[3] + " " + wordList[4] + "\n"
+    f = open(benchName + "_mapped.nets", "w")
+    f.write(newCont)
+    f.close()
+
+    newCont = ""
+    for key, cont in netNameMap.items():
+        newCont += "%s %s\n" % (key, cont)
+    f = open(benchName + "_mapped.netmap", "w")
+    f.write(newCont)
+    f.close()
+
+    #######################################
+    # DP PL Mapping
+    #######################################
+    #
+    #dpPlName = plName.split(".")[0] + ".ntup.pl"
+    #f = open(dpPlName, "r")
+    #plCont= f.read()
+    # f.close()
+    #
+    #newCont = ""
+    #isFirst = True
+    #
+    # for curLine in plCont.split("\n"):
+    #  wordList = curLine.split()
+    #  if isFirst:
+    #    isFirst = False
+    #    newCont += curLine + "\n"
+    #    continue
+    #  if len(wordList) is 0:
+    #    newCont += "\n"
+    #    continue
+    #  if wordList[0] is "#":
+    #    newCont += curLine + "\n"
+    #    continue
+    #  if len(wordList) == 5:
+    #    newCont += nameMap[ wordList[0] ] + " " + " ".join(wordList[1:5]) + "\n"
+    #  elif len(wordList) == 6:
+    #    newCont += nameMap[ wordList[0] ] + " " + " ".join(wordList[1:6]) + "\n"
+    #
+    #f = open(benchName + "_mapped.ntup.pl", "w")
+    # f.write(newCont)
+    # f.close()
+    #
+    #######################################
+    # GP PL Mapping
+    #######################################
+
+    gpPlName = plName.split(".")[0] + ".pl"
+    f = open(gpPlName, "r")
+    plCont = f.read()
+    f.close()
+
+    newCont = ""
+    isFirst = True
+
+    for curLine in plCont.split("\n"):
+        wordList = curLine.split()
+        if isFirst:
+            isFirst = False
+            newCont += curLine + "\n"
+            continue
+        if len(wordList) is 0:
+            newCont += "\n"
+            continue
+        if wordList[0] is "#":
+            newCont += curLine + "\n"
+            continue
+        if len(wordList) == 5:
+            newCont += nameMap[wordList[0]] + \
+                " " + " ".join(wordList[1:5]) + "\n"
+        elif len(wordList) == 6:
+            newCont += nameMap[wordList[0]] + \
+                " " + " ".join(wordList[1:6]) + "\n"
+
+    f = open(benchName + "_mapped.pl", "w")
+    f.write(newCont)
+    f.close()
+
+    #######################################
+    # ROUTE Mapping
+    #######################################
+
+    f = open(routeName, "r")
+    routeCont = f.read()
+    f.close()
+
+    newCont = ""
+    isFirst = True
+
+    for curLine in routeCont.split("\n"):
+        wordList = curLine.split()
+        if isFirst:
+            isFirst = False
+            newCont += curLine + "\n"
+            continue
+        if len(wordList) is 0:
+            newCont += "\n"
+            continue
+        if wordList[0] is "#":
+            newCont += curLine + "\n"
+            continue
+        if ":" in wordList:
+            newCont += curLine + "\n"
+            continue
+        newCont += "  " + nameMap[wordList[0]] + "  " + \
+            "  ".join(wordList[1:len(wordList)]) + "\n"
+
+    f = open(benchName + "_mapped.route", "w")
+    f.write(newCont)
+    f.close()
+
+    #######################################
+    # scl, wts Mapping
+    #######################################
+
+    ExecuteCommand("cp %s.scl %s.scl" % (benchName, benchName + "_mapped"))
+    ExecuteCommand("cp %s.wts %s.wts" % (benchName, benchName + "_mapped"))
+
+    #######################################
+    # shapes Mapping
+    #######################################
+
+    f1 = open(benchName + "_mapped.nodemap", "r")
+    linesMap = f1.readlines()
+    f1.close()
+
+    listOrigName = []
+    listMapName = []
+    for line in linesMap:
+        listOrigName.append(line.split()[0])
+        listMapName.append(line.split()[1])
+
+    f2 = open(benchName + ".shapes", "r")
+    linesShapes = f2.readlines()
+    f2.close()
+    # Search mapping name from '.nodemap' file.
+
+    f = open(benchName + "_mapped.shapes", "w")
+    for line in linesShapes:
+        if len(line.split()) > 1:
+            if ':' == line.split()[1] and line.split()[
+                    0] != 'NumNonRectangularNodes':
+                origName = line.split()[0]
+                idxMap = listOrigName.index(origName)
+                f.write('%s  :  %s\n' % (listMapName[idxMap], line.split()[2]))
+                continue
+            else:
+                f.write(line)
+        else:
+            f.write(line)
+
+    f.close()
+
+    #######################################
+    # aux writing
+    #######################################
+
+    f = open(benchName + "_mapped.aux", "w")
+    newCont = "RowBasedPlacement : %s_mapped.nodes %s_mapped.nets %s_mapped.wts %s_mapped.pl %s_mapped.scl %s_mapped.shapes %s_mapped.route" % (
+        benchName, benchName, benchName, benchName, benchName, benchName, benchName)
+    f.write(newCont)
+    f.close()

Flows/util/RePlAceFlow/runme

+rm -rf output/ ETC/ outputs/
+
+# run ODB to Bookshelf
+#./openroad -python odb2bs.py
+./openroad -python lefdef_to_odb.py ariane ../../ariane_replace.def ./
+
+# prepare input dir structure for RePlAce
+mkdir -p ETC/
+ln -s $(readlink -f ./output/*) ./ETC/
+
+# run RePlAce. If you want to change density, please put -den 0.8 (80%), etc.
+./RePlAce-static -bmflag etc -bmname ariane_pad0_ISPD11 -pcofmax 1.03 |& tee replace_result.log
+
+# bring the results
+#ln -s outputs/ETC/ariane_pad0_ISPD11/experiment0/*.pl ./
+
+# you can run invs to load *.pl results from here

Flows/util/namemap.py

-/home/mgwoo/95_openroad/rosettaStone/github/RosettaStone/odbComm/namemap.py
\ No newline at end of file

Flows/util/odb_to_bookshelf.py

-'''
-This script generates bookshelf format from odb format
-'''
-import os
-import odb
-import sys
-import re
-
-work_dir = re.search(r'(/\S+/MacroPlacement)', os.getcwd()).group(1)
-sys.path.append(f'{work_dir}/Flows/util')
-
-from convert_odb2bookshelf import OdbToBookshelf
-
-design = sys.argv[1]
-odb_file = sys.argv[2]
-output_dir = sys.argv[3]
-
-modeFormat = 'ISPD11'
-cellPadding = 0
-layerCapacity = 'layeradjust_empty.tcl'
-
-def touch(fname, times=None):
-    with open(fname, 'a'):
-        os.utime(fname, times)
-
-if  not os.path.exists(layerCapacity):
-    touch(layerCapacity)
-
-db = odb.dbDatabase.create()
-odb.read_db(db, odb_file)
-bs = OdbToBookshelf(opendbpy=odb, opendb=db, cellPadding=cellPadding,
-                    modeFormat=modeFormat, layerCapacity=layerCapacity)
-
-if not os.path.exists(f'{output_dir}/RePlAce'):
-    os.makedirs(f'{output_dir}/RePlAce')
-
-bs.WriteBookshelf(f'{design}.bookshelf')

Flows/util/write_required_def.tcl

@@ -2,7 +2,7 @@
 deselectAll
 set top_module [dbget top.name]
 
-if {[dbget top.terms.pStatus -v -e fixed] == "" } {
+if {[dbget top.terms.pStatus -v -e fixed] != "" } {
     source ../../../../util/place_pin.tcl
 }
 

README.md

@@ -201,7 +201,8 @@ while allowing soft macros (standard-cell clusters) to also find good locations.
 - [Hypergraph clustering](./CodeElements/Clustering/) clusters millions of standard cells into a few thousand clusters.  In Circuit Training, the purpose of clustering is to enable an approximate but fast standard cell placement that facilitates policy network optimization.
 - [Force-directed placement](./CodeElements/FDPlacement/) places the center of each standard cell cluster onto  centers of gridcells generated by [Gridding](./CodeElements/Gridding/).
 - [Simulated annealing](./CodeElements/SimulatedAnnealing/) places the center of each macro onto centers of gridcells generated by [Gridding](./CodeElements/Gridding/).  In Circuit Training,  simulated annealing is used as a baseline to show the relative sample efficiency of RL.
-- [LEF/DEF and Bookshelf (OpenDB, RosettaStone) translators](./CodeElements/FormatTranslators/) ease the translation between different representations of the same netlist. 
+- [LEF/DEF and Bookshelf (OpenDB, RosettaStone) translators](./CodeElements/FormatTranslators/) ease the translation between different representations of the same netlist.
+- [Plc client](./CodeElements/Plc_client/) implements all three components of the proxy cost function: wirelength cost, density cost and congestion cost.
 
 
 <!--## **Reproducible Example Solutions** -->
@@ -218,18 +219,16 @@ We provide a competitive baseline for [Google Brain's Circuit Training](https://
 - We do understand that Google has been working hard to complete the open-sourcing of Morpheus, and that this effort continues today. However, as pointed out in [this Doc](https://docs.google.com/document/d/1vkPRgJEiLIyT22AkQNAxO8JtIKiL95diVdJ_O4AFtJ8/edit?usp=sharing), it has been more than a year since "Data and Code Availability" was committed with publication of the [Nature paper](https://www.nature.com/articles/s41586-021-03544-w). We consider our work a "backstop" or "safety net" for Google's internal efforts, and a platform for researchers to build on. 
 
 **What can others contribute?**
-- Our shopping list includes the following. Please join in! 
-  - force-directed placement (and API): documentation and implementation
-  - adjacency matrix generation: documentation and implementation
+- Our shopping list (updated August 2022) includes the following. Please join in!  
   - simulated annealing on the gridded canvas: documentation and implementation
+  - force-directed placement: documentation and implementation
   - donated cloud resources (credits) for experimental studies
   - relevant testcases with reference implementations and implementation flows (Cadence, OpenROAD preferred since scripts can be shared)
-  - protobuf, lef/def, Bookshelf: detailed and confirmed documentation, plus tests and other help to improve our initial versions of translators
-  - "fakeram" generator for the ASAP7 research PDK
-  - qrctechfile for NanGate45
+  - improved "fakeram" generator for the ASAP7 research PDK
 
 **What is your timeline?**
-- We hope to show significant progress at the [DAC-2022 Birds-of-a-Feather](https://59dac.conference-program.com/session/?sess=sess294) meeting (Open-Source EDA and Benchmarking Summit) on July 12, 2022, 7-10pm in Room 3000 of Moscone West in San Francisco.
+- We showed our [progress](https://open-source-eda-birds-of-a-feather.github.io/doc/slides/MacroPlacement-SpecPart-DAC-BOF-v5.pdf) at the Open-Source EDA and Benchmarking Summit birds-of-a-feather [meeting](https://open-source-eda-birds-of-a-feather.github.io/) on July 12 at DAC-2022.
+- We are now (late August 2022) studying benefits and limitations of the CT methodology itself, as noted in [this Doc](https://docs.google.com/document/d/1c-uweo3DHiCWZyBzAdNCqqcOrAbKq1sVIfY0_4bFCYE/edit).
 
 
 ## **Related Links**