def plot_state(f, filename, epoch):
params = mregn_print_log.read_parameter(f)
out_state_size = int(params['out_state_size'])
tmp = tempfile.NamedTemporaryFile('w+')
sys.stdout = tmp
mregn_print_log.print_state(f, epoch)
sys.stdout.flush()
ptype = {}
ptype['Target'] = (out_state_size, lambda x: 2 * x + 2)
ptype['Output'] = (out_state_size, lambda x: 2 * x + 3)
for k,v in ptype.items():
p = subprocess.Popen(['gnuplot -persist'], stdin=subprocess.PIPE,
shell=True)
gnuplot = lambda s: p.stdin.write(s.encode())
gnuplot('set nokey;')
gnuplot("set title 'Type=%s File=%s';" % (k, filename))
gnuplot("set xlabel 'Time step';")
gnuplot("set ylabel '%s';" % k)
command = ['plot ']
for i in range(v[0]):
command.append("'%s' u 1:%d w l," % (tmp.name, v[1](i)))
gnuplot(''.join(command)[:-1])
gnuplot('\n')
gnuplot('exit\n')
p.wait()
sys.stdout = sys.__stdout__
def plot_threshold(f, filename):
params = mregn_print_log.read_parameter(f)
expert_num = int(params['expert_num'])
c_state_size = int(params['c_state_size'])
out_state_size = int(params['out_state_size'])
s = [x+2 for x in range(expert_num * (c_state_size + out_state_size))]
for i in range(expert_num):
index_c = s[:c_state_size]
s = s[c_state_size:]
index_o = s[:out_state_size]
s = s[out_state_size:]
ptype = {'Threshold (context)':index_c, 'Threshold (output)':index_o}
for k,v in ptype.items():
p = subprocess.Popen(['gnuplot -persist'], stdin=subprocess.PIPE,
shell=True)
gnuplot = lambda s: p.stdin.write(s.encode())
gnuplot('set nokey;')
gnuplot("set title 'Type=Threshold(Expert %d) File=%s';" %
(i, filename))
gnuplot("set xlabel 'Learning epoch';")
gnuplot("set ylabel '%s';" % k)
command = ['plot ']
for j in v:
command.append("'%s' u 1:%d w l," % (filename, j))
gnuplot(''.join(command)[:-1])
gnuplot('\n')
def plot_error(f, filename):
params = mregn_print_log.read_parameter(f)
target_num = int(params['target_num'])
ptype = {}
ptype['Error'] = ('Error / (Length times Dimension)', lambda x: 3 * x + 2,
'set logscale y;')
ptype['Joint likelihood'] = ('Joint-likelihood / Length',
lambda x: 3 * x + 3, '')
ptype['Total likelihood'] = ('Total-likelihood / Length',
lambda x: 3 * x + 4, '')
for k,v in ptype.items():
p = subprocess.Popen(['gnuplot -persist'], stdin=subprocess.PIPE,
shell=True)
gnuplot = lambda s: p.stdin.write(s.encode())
gnuplot('set nokey;')
gnuplot("set title 'Type=%s File=%s';" % (k, filename))
gnuplot("set xlabel 'Learning epoch';")
gnuplot("set ylabel '%s';" % v[0])
gnuplot(v[2])
command = ['plot ']
for i in range(target_num):
command.append("'%s' u 1:%d w l," % (filename, v[1](i)))
gnuplot(''.join(command)[:-1])
gnuplot('\n')
gnuplot('exit\n')
p.wait()
def plot_init(f, filename, epoch):
params = mregn_print_log.read_parameter(f)
expert_num = int(params['expert_num'])
c_state_size = int(params['c_state_size'])
tmp = tempfile.NamedTemporaryFile('w+')
sys.stdout = tmp
mregn_print_log.print_init(f, epoch)
sys.stdout.flush()
index = [(2*x,(2*x+1)%c_state_size) for x in range(c_state_size) if 2*x <
c_state_size]
for i in range(expert_num):
p = subprocess.Popen(['gnuplot -persist'], stdin=subprocess.PIPE,
shell=True)
gnuplot = lambda s: p.stdin.write(s.encode())
gnuplot('set nokey;')
gnuplot("set title 'Type=Init(Expert %d) File=%s';" % (i, filename))
gnuplot("set xlabel 'x';")
gnuplot("set ylabel 'y';")
gnuplot('set pointsize 3;')
command = ['plot ']
k = expert_num * i + 2
for x in index:
command.append("'%s' u %d:%d w p," % (tmp.name, x[0] + k,
x[1] + k))
gnuplot(''.join(command)[:-1])
gnuplot('\n')
gnuplot('exit\n')
p.wait()
sys.stdout = sys.__stdout__
def plot_sigma(f, filename):
params = mregn_print_log.read_parameter(f)
expert_num = int(params['expert_num'])
p = subprocess.Popen(['gnuplot -persist'], stdin=subprocess.PIPE,
shell=True)
gnuplot = lambda s: p.stdin.write(s.encode())
gnuplot('set nokey;')
gnuplot("set title 'Type=Variance File=%s';" % filename)
gnuplot("set xlabel 'Learning epoch';")
gnuplot("set ylabel 'Variance';")
command = ['plot ']
for i in range(expert_num):
command.append("'%s' u 1:%d w l," % (filename, 2*i+3))
gnuplot(''.join(command)[:-1])
gnuplot('\n')
def plot_tau(f, filename):
params = mregn_print_log.read_parameter(f)
expert_num = int(params['expert_num'])
c_state_size = int(params['c_state_size'])
for i in range(expert_num):
p = subprocess.Popen(['gnuplot -persist'], stdin=subprocess.PIPE,
shell=True)
gnuplot = lambda s: p.stdin.write(s.encode())
gnuplot('set nokey;')
gnuplot("set title 'Type=Time-constant(Expert %d) File=%s';" %
(i, filename))
gnuplot("set xlabel 'Learning epoch';")
gnuplot("set ylabel 'Time constant';")
command = ['plot ']
for j in range(c_state_size):
command.append("'%s' u 1:%d w l," % (filename, i*expert_num+j+2))
gnuplot(''.join(command)[:-1])
gnuplot('\n')
def plot_gate(f, filename, epoch):
params = mregn_print_log.read_parameter(f)
expert_num = int(params['expert_num'])
tmp = tempfile.NamedTemporaryFile('w+')
sys.stdout = tmp
mregn_print_log.print_state(f, epoch)
sys.stdout.flush()
p = subprocess.Popen(['gnuplot -persist'], stdin=subprocess.PIPE,
shell=True)
gnuplot = lambda s: p.stdin.write(s.encode())
gnuplot('set nokey;')
gnuplot("set title 'Type=Gate File=%s';" % filename)
gnuplot("set xlabel 'Time step';")
gnuplot("set ylabel 'Gate opening value';")
command = ['plot ']
for i in range(expert_num):
command.append("'%s' u 1:%d w l," % (tmp.name, i+2))
gnuplot(''.join(command)[:-1])
gnuplot('\n')
gnuplot('exit\n')
p.wait()
sys.stdout = sys.__stdout__
