constellationnet/plot.py

from constellation import util
import torch
from matplotlib import pyplot
import matplotlib
from mpl_toolkits.axisartist.axislines import SubplotZero

# Number learned symbols
order = 16

# Color map used for decision regions and points
color_map = matplotlib.cm.Dark2

# File in which the trained model is saved
input_file = 'output/constellation-order-{}.pth'.format(order)

# Restore model from file
model = torch.load(input_file)
model.eval()

# Setup plot
fig = pyplot.figure()
ax = SubplotZero(fig, 111)
fig.add_subplot(ax)

util.plot_constellation(
    ax, model.get_constellation(),
    model.channel, model.decoder,
    grid_step=0.001, noise_samples=0
)

pyplot.show()