OpenRAM/compiler/gdsMill/exampleUserDir/quickStart.py

77 lines
3.5 KiB
Python

#!/usr/bin/env python
import gdsMill
#creater a streamer object to interact with the cadence libraries
streamer = gdsMill.GdsStreamer()
#use the streamer to take a cadence layout, and convert it to GDS 2 for us to work with
#the GDS will be named testLayoutA.gds
streamer.streamFromCadence(cadenceLibraryContainerPath = "/soe/bchen12/openram/branches/newptx/freepdk45/openram_temp",
libraryName = "gdsMillTest",
cellName = "testLayoutA",
outputPath = "./gdsFiles")
#create a layout object - this object represents all of the elements within the layout
myLayout = gdsMill.VlsiLayout()
#give our layout object to a gds reader object. The gds reader will look at the binary gds 2 file and
#populate the layout object with the file's contents
reader = gdsMill.Gds2reader(myLayout)
#tell the reader object to process the gds file that we streamed in above
#un-comment the next line to see some details about the gds contents
#reader.debugToTerminal=1
reader.loadFromFile("./gdsFiles/testLayoutA.gds")
#our layout object now contains all of the elements of the layout
#let add a box to the layout
myLayout.addBox(layerNumber = myLayout.layerNumbersInUse[0], #pick some layer
offsetInMicrons = (-10,0), #location
width = 10.0, #units are microns
height = 5.0,
# updateInternalMap = True, #This is important for visualization - see note 1 below
center = True) #origin is in the center or the bottom left corner
#Note 1:the layout object keeps track of its elements in a 2D map (no hiearachy)
#this makes visualization more efficient. Therefore, to do a PDF output or some other
#flat output, you need to "update the internal map" of the layout object. Only do this
# ONE TIME after all the objects you are manipulating are fixed
#let's take out new layout and stream it back into a cadence library
#first, create a new GDS
#we change the root structure name (this will be the cellview name upon stream in)
myLayout.rename("testLayoutB")
writer = gdsMill.Gds2writer(myLayout)
writer.writeToFile("./gdsFiles/testLayoutB.gds")
streamer.streamToCadence(cadenceLibraryContainerPath = "~/design/600nmAmi",
libraryName = "gdsMillTest",
inputPath = "./gdsFiles/testLayoutB.gds")
#let's create a PDF view of the layout object
#first, create the object to represent the visual output
visualizer = gdsMill.PdfLayout(myLayout)
#since we have no knowledge of what the layer numbers mean for this particular technology
#we need to assign some colors to them
#uncomment the following line if you want to actually see the layout numbers in use
#print myLayout.layerNumbersInUse
#for each layer number used in the layout, we will asign it a layer color as a RGB Hex
visualizer.layerColors[myLayout.layerNumbersInUse[0]]="#219E1C"
visualizer.layerColors[myLayout.layerNumbersInUse[1]]="#271C9E"
visualizer.layerColors[myLayout.layerNumbersInUse[2]]="#CC54C8"
visualizer.layerColors[myLayout.layerNumbersInUse[3]]="#E9C514"
visualizer.layerColors[myLayout.layerNumbersInUse[4]]="#856F00"
visualizer.layerColors[myLayout.layerNumbersInUse[5]]="#BD1444"
visualizer.layerColors[myLayout.layerNumbersInUse[6]]="#FD1444"
visualizer.layerColors[myLayout.layerNumbersInUse[7]]="#FD1414"
#set the scale so that our PDF isn't enormous
visualizer.setScale(500)
#tell the pdf layout object to draw everything in our layout
visualizer.drawLayout()
#and finally, dump it out to a file
visualizer.writeToFile("./gdsFiles/gdsOut.pdf")