# This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in 

import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import tensorflow as tf


from subprocess import check_output
print(check_output(["ls", "../input"]).decode("utf8"))

with tf.Session():
    input = tf.placeholder(tf.float32)