#!/usr/bin/env python3
import tensorflow as tf
import tensorflow.contrib.eager as tfe
import numpy as np
import time
tfe.enable_eager_execution()
while True:
  start = time.time()
  conv_layer = tf.layers.Conv2D(filters=5, kernel_size=3)
  random_input = np.random.normal(size=(1, 10, 10, 3)).astype(np.float32)
  _ = conv_layer(tf.convert_to_tensor(random_input))
  print(time.time() - start)