70 lines
2.2 KiB
Python
70 lines
2.2 KiB
Python
|
import os, sys, time, glob, random, argparse
|
||
|
import numpy as np
|
||
|
from copy import deepcopy
|
||
|
import torch
|
||
|
from pathlib import Path
|
||
|
lib_dir = (Path(__file__).parent / '..' / 'lib').resolve()
|
||
|
if str(lib_dir) not in sys.path: sys.path.insert(0, str(lib_dir))
|
||
|
from graphviz import Digraph
|
||
|
|
||
|
parser = argparse.ArgumentParser("Visualize the Networks")
|
||
|
parser.add_argument('--checkpoint', type=str, help='The path to the checkpoint.')
|
||
|
parser.add_argument('--save_dir', type=str, help='The directory to save the network plot.')
|
||
|
args = parser.parse_args()
|
||
|
|
||
|
|
||
|
def plot(genotype, filename):
|
||
|
g = Digraph(
|
||
|
format='pdf',
|
||
|
edge_attr=dict(fontsize='20', fontname="times"),
|
||
|
node_attr=dict(style='filled', shape='rect', align='center', fontsize='20', height='0.5', width='0.5', penwidth='2', fontname="times"),
|
||
|
engine='dot')
|
||
|
g.body.extend(['rankdir=LR'])
|
||
|
|
||
|
g.node("c_{k-2}", fillcolor='darkseagreen2')
|
||
|
g.node("c_{k-1}", fillcolor='darkseagreen2')
|
||
|
assert len(genotype) % 2 == 0
|
||
|
steps = len(genotype) // 2
|
||
|
|
||
|
for i in range(steps):
|
||
|
g.node(str(i), fillcolor='lightblue')
|
||
|
|
||
|
for i in range(steps):
|
||
|
for k in [2*i, 2*i + 1]:
|
||
|
op, j, weight = genotype[k]
|
||
|
if j == 0:
|
||
|
u = "c_{k-2}"
|
||
|
elif j == 1:
|
||
|
u = "c_{k-1}"
|
||
|
else:
|
||
|
u = str(j-2)
|
||
|
v = str(i)
|
||
|
g.edge(u, v, label=op, fillcolor="gray")
|
||
|
|
||
|
g.node("c_{k}", fillcolor='palegoldenrod')
|
||
|
for i in range(steps):
|
||
|
g.edge(str(i), "c_{k}", fillcolor="gray")
|
||
|
|
||
|
g.render(filename, view=False)
|
||
|
|
||
|
|
||
|
if __name__ == '__main__':
|
||
|
checkpoint = args.checkpoint
|
||
|
assert os.path.isfile(checkpoint), 'Invalid path for checkpoint : {:}'.format(checkpoint)
|
||
|
checkpoint = torch.load( checkpoint, map_location='cpu' )
|
||
|
genotypes = checkpoint['genotypes']
|
||
|
save_dir = Path(args.save_dir)
|
||
|
subs = ['normal', 'reduce']
|
||
|
for sub in subs:
|
||
|
if not (save_dir / sub).exists():
|
||
|
(save_dir / sub).mkdir(parents=True, exist_ok=True)
|
||
|
|
||
|
for key, network in genotypes.items():
|
||
|
save_path = str(save_dir / 'normal' / 'epoch-{:03d}'.format( int(key) ))
|
||
|
print('save into {:}'.format(save_path))
|
||
|
plot(network.normal, save_path)
|
||
|
|
||
|
save_path = str(save_dir / 'reduce' / 'epoch-{:03d}'.format( int(key) ))
|
||
|
print('save into {:}'.format(save_path))
|
||
|
plot(network.reduce, save_path)
|