import tensorflow as tf

#     sess.close()


identity_matrix = tf.diag([1.0, 3.0, 1.0])
A = tf.truncated_normal([2, 3])
B = tf.fill([2, 3], 5.0)
C = tf.random_uniform([3, 2], maxval=100)
D = tf.convert_to_tensor(np.array([[1., 2., 3.], [-3., -7., -1.], [0., 5., -2.]]))
sess = tf.Session()
# sess.run(tf.global_variables_initializer())
