def plot_pl(plfile,
nodesfile,
netsfile,
figname,
shapesfile=None,
board_dim=None):
board_pins = {}
components = load_bookshelf.read_nodes(nodesfile)
if shapesfile:
components = load_bookshelf.read_shapes(shapesfile, components)
components, comp2rot, board_pins, _ = load_bookshelf.read_pl2(
plfile, components)
nets, mod2net = load_bookshelf.read_nets2(netsfile, components, board_pins)
if board_dim is None:
if board_pins is not None and len(board_pins) > 0:
xs = [pin[1].x for pin in board_pins.items()]
ys = [pin[1].y for pin in board_pins.items()]
board_dim = [xs, ys]
pass
else:
board_dim = [[-25, 120], [-25, 120]]
else:
board_dim = board_dim #[[boarddimmin,boarddimmax],[boarddimmin, boarddimmax]]
plot_circuit(
plfile.split('.')[0], components, comp2rot, nets, board_dim, figname)
def animate(i):
data = routabilities[i]
ax = sns.heatmap(data, vmax=.8, square=True, cbar=False, ax=ax1)
ax.invert_yaxis()
report_dict = {
'wirelength': wl,
'overlap': oa,
'cost': cost,
'acceptance ratio': ar
}
ax2.plot(wl[:i], label='wirelength')
ax2.plot(oa[:i], label='overlap')
ax2.plot(cost[:i], label='cost')
ax3.plot(ar[:i], label='acceptance ratio')
components = load_bookshelf.read_nodes(nodesfile)
components, comp2rot, board_pins, _ = load_bookshelf.read_pl2(
'./cache/' + placements[i], components)
nets, mod2net = load_bookshelf.read_nets2(netsfile, components, board_pins)
plot.plot_circuit(ff.split('.')[0],
components,
comp2rot,
nets,
board_dim,
'./cache/img/' + ff.split('.')[0] + '.png',
ax=ax4)
def make_placement_anim():
f = []
board_pins = {}
for (dirpath, dirnames, filenames) in walk('./cache/'):
f.extend(filenames)
f = sorted(f, key=lambda x: float(x.split('.')[0]))
for i,ff in enumerate(tqdm(f)):
if i > 10000:
break
if i % 20 == 0:
components = load_bookshelf.read_nodes(nodesfile)
components,comp2rot,board_pins,_ = load_bookshelf.read_pl2('./cache/'+ff,components)
nets,mod2net = load_bookshelf.read_nets2(netsfile,components,board_pins)
board_dim = [[-5,100],[-5,55]]
plot_circuit(ff.split('.')[0], components,comp2rot,nets,board_dim,'./cache/img/'+ff.split('.')[0]+'.png')
f = []
for (dirpath, dirnames, filenames) in walk('./cache/img/'):
f.extend(filenames)
f = sorted(f, key=lambda x: float(x.split('.')[0]))
with imageio.get_writer(figname, mode='I') as writer:
for ff in tqdm(f):
try:
if ff == "" or ff == "anim":
continue
ff = './cache/img/' + ff
image = imageio.imread(ff)
writer.append_data(image)
except:
tqdm.write("exception: " + ff)
continue
def new2old(dir,cname,outdir): pl_fname = dir + cname + '.pl' nets_fname = dir + cname + '.nets' nodes_fname = dir + cname + '.nodes' components = load_bookshelf.read_nodes(nodesfile) components,comp2rot,_,board_pins = load_bookshelf.read_pl2(plfile,components) nets,mod2net = load_bookshelf.read_nets2(netsfile,components,board_pins) load_bookshelf.write_pl(outdir+circuit_name+'.pl',placed_components,board_pins) load_bookshelf.write_blocks(outdir+circuit_name+'.nodes',components,board_pins) load_bookshelf.write_nets(outdir+circuit_name+'.nets',nets,components)
from os import walk
from tqdm import tqdm
f = []
for (dirpath, dirnames, filenames) in walk('./cache/'):
f.extend(filenames)
f = sorted(f, key=lambda x: float(x.split('.')[0]))
#_,comp2rot,_,board_pins = load_bookshelf.read_pl2(plfile,components)
for i,ff in enumerate(tqdm(f)):
if i > 10000:
break
if i % 20 == 0:
components = load_bookshelf.read_nodes(nodesfile)
components,comp2rot,board_pins,_ = load_bookshelf.read_pl2('./cache/'+ff,components)
nets,mod2net = load_bookshelf.read_nets2(netsfile,components,board_pins)
#board_dim = [[-10,100],[-5,55]]
board_dim = [[-5,60],[-5,50]]
plot_circuit(ff.split('.')[0], components,comp2rot,nets,board_dim,'./cache/img/'+ff.split('.')[0]+'.png')
f = []
for (dirpath, dirnames, filenames) in walk('./cache/img/'):
f.extend(filenames)
f = sorted(f, key=lambda x: float(x.split('.')[0]))
import imageio
with imageio.get_writer(figname, mode='I') as writer:
for ff in tqdm(f):
try:
if ff == "" or ff == "anim":
for i, ff in enumerate(congestion_maps):
x = np.loadtxt(cachedir + ff)
plt.title('congestion map')
plt.imsave(cachedir + 'cmap.png', np.log(x))
plt.clf()
plt.cla()
plt.close()
for i, ff in enumerate(tqdm(f)):
if not make_gif:
continue
components = load_bookshelf.read_nodes(nodesfile)
for c in components:
shape = components[c]
if '.pl' in ff:
components, comp2rot, board_pins, _, comp2layer = load_bookshelf.read_pl2(
cachedir + ff, components)
radii = load_bookshelf.read_rad(cachedir + ff.split('.')[0] + '.rad')
if '.rad' in ff:
continue
elif '.txt' in ff:
continue
elif '.png' in ff:
continue
elif '.gif' in ff:
continue
elif '.nodes' in ff:
continue
elif '_history' in ff:
with open(ff) as f:
d = f.read().splitlines()
d = [float(x) for x in d]
pin2y = pin2[1].y
mwl += np.abs(pin1x -
pin2x) + np.abs(pin1y - pin2y) / (len(net) - 1)
return int(mwl)
#nodesfile = sys.argv[1]
#plfile = sys.argv[2]
#netsfile = sys.argv[3]
#circuitname = './benchmarks/pcb_benchmark_devel-master/bm1'
#plfile = circuitname + '.pl'
circuitname = 'apte'
plfile = 'cache/400.pl'
nodesfile = circuitname + '.nodes'
netsfile = circuitname + '.nets'
board_pins = {}
components = load_bookshelf.read_nodes(nodesfile)
components, comp2rot, _, board_pins = load_bookshelf.read_pl2(
plfile, components)
nets, mod2net = load_bookshelf.read_nets2(netsfile, components, board_pins)
print(nets)
#eu_wl = euclidean(components, board_pins, nets)
hpwl = hpwl(components, board_pins, nets)
#mh_wl = manhattan(components, board_pins, nets)
#print('euclidean: ' + str(eu_wl))
print('hpwl: ' + str(hpwl))
#print('manhattan: ' + str(mh_wl))