import tensorflow as tf
import numpy as np

X_DIM=2048
Y_DIM=128

tf.set_random_seed(123)

varz = tf.get_variable("v", [X_DIM, Y_DIM],
             dtype=tf.float32,
             initializer=tf.random_normal_initializer(seed=123))


with tf.Session() as sess:
     sess.run(tf.global_variables_initializer())

     v1 = sess.run(varz)

with tf.Session() as sess:
     sess.run(tf.global_variables_initializer())
     v2 = sess.run(varz)

print(np.max(np.absolute(v2-v1)))
assert(np.allclose(v1, v2, rtol=1))