import glob
import numpy as np
import subprocess
from keras.models import load_model

models = glob.glob("cvae_runs_*/best.h5")

for model in models:
    a = load_model(model)
    a.summary()



5eaec99fb25e515d13a64027e85b783793c72f27
<mask token>

<mask token>
for model in models:
    a = load_model(model)
    a.summary()

<mask token>
models = glob.glob('cvae_runs_*/best.h5')
for model in models:
    a = load_model(model)
    a.summary()

import glob
import numpy as np
import subprocess
from keras.models import load_model
models = glob.glob('cvae_runs_*/best.h5')
for model in models:
    a = load_model(model)
    a.summary()

import glob
import numpy as np
import subprocess
from keras.models import load_model

models = glob.glob("cvae_runs_*/best.h5")

for model in models:
    a = load_model(model)
    a.summary()


