# ---
# jupyter:
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#     text_representation:
#       extension: .py
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#     display_name: Python 3
#     language: python
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import os
import sys
import matplotlib.pyplot as plt
# %matplotlib inline
import pandas as pd
import tensorflow as tf
import numpy as np
import scipy as sp
import sklearn as sk


sys.argv=['/usr/bin/python',]

import config
import main
import train
import generator

# +
from importlib import reload

reload(model)
tf.reset_default_graph()
# -

main.main()

(X_variable, Y_variable,
            pred, loss, final_loss,
            gene_vars)=model.create_model()

Y_variable

tf.trainable_variables()

tf.trainable_variables()

train_minimize, learning_rate, global_step = model.create_optimizers(final_loss)



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