xautodl/exps-cnn/cvpr-vis.py
2019-02-01 01:27:38 +11:00

95 lines
2.9 KiB
Python

# python ./exps-nas/cvpr-vis.py --save_dir ./snapshots/NAS-VIS/
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 nas import DMS_V1, DMS_F1
from nas_rnn import DARTS_V2, GDAS
from graphviz import Digraph
parser = argparse.ArgumentParser("Visualize the Networks")
parser.add_argument('--save_dir', type=str, help='The directory to save the network plot.')
args = parser.parse_args()
def plot_cnn(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, '{:}'.format(genotype)
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)
def plot_rnn(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("x_{t}", fillcolor='darkseagreen2')
g.node("h_{t-1}", fillcolor='darkseagreen2')
g.node("0", fillcolor='lightblue')
g.edge("x_{t}", "0", fillcolor="gray")
g.edge("h_{t-1}", "0", fillcolor="gray")
steps = len(genotype)
for i in range(1, steps + 1):
g.node(str(i), fillcolor='lightblue')
for i, (op, j) in enumerate(genotype):
g.edge(str(j), str(i + 1), label=op, fillcolor="gray")
g.node("h_{t}", fillcolor='palegoldenrod')
for i in range(1, steps + 1):
g.edge(str(i), "h_{t}", fillcolor="gray")
g.render(filename, view=False)
if __name__ == '__main__':
save_dir = Path(args.save_dir)
save_path = str(save_dir / 'DMS_V1-normal')
plot_cnn(DMS_V1.normal, save_path)
save_path = str(save_dir / 'DMS_V1-reduce')
plot_cnn(DMS_V1.reduce, save_path)
save_path = str(save_dir / 'DMS_F1-normal')
plot_cnn(DMS_F1.normal, save_path)
save_path = str(save_dir / 'DARTS-V2-RNN')
plot_rnn(DARTS_V2.recurrent, save_path)
save_path = str(save_dir / 'GDAS-V1-RNN')
plot_rnn(GDAS.recurrent, save_path)