# import numpy
import tensorflow as tf
# keras=tf.keras
# import numpy as np
# model=keras.Sequential([keras.layers.Dense(units=1,input_shape=[1])])
# model.compile(optimizer='sgd',loss='mean_squared_error')

# xs=np.array([-1.0, 0.0, 1.0, 2.0, 3.0, 4.0],  dtype=float)
# ys= np.array([-3.0, -1.0, 1.0, 3.0, 5.0, 7.0], dtype=float)

# model.fit(xs, ys, epochs=500)

# print(model.predict([10.0]))

print(tf.__version__)