Merge pull request #2 from stared/patch-1

fix: prints changed to work with python3

roi_pooling/roi_pooling_example.py

@@ -1,3 +1,5 @@
+from __future__ import print_function
+
 import tensorflow as tf
 import numpy as np
 
@@ -25,8 +27,8 @@
 n_rois = len(rois_value)
 y_shape = [n_rois, 1, pool_height, pool_width]
 
-print 'Input: ', input_value, ', shape: ', input_value.shape
-print 'ROIs: ', rois_value, ', shape: ', rois_value.shape
+print('Input: ', input_value, ', shape: ', input_value.shape)
+print('ROIs: ', rois_value, ', shape: ', rois_value.shape)
 
 # precise semantics is now only defined by the kernel, need tests
 input = tf.placeholder(tf.float32)
@@ -36,10 +38,10 @@
 mean = tf.reduce_mean(y)
 
 grads = tf.gradients(mean, input)
-print type(grads)
-print len(grads)
-print grads
-print input_value.shape
+print(type(grads))
+print(len(grads))
+print(grads)
+print(input_value.shape)
 
 with tf.Session('') as sess:
     # NOTE(maciek): looks like we have to use consts here, based on tensorflow/python/ops/nn_test.py
@@ -50,10 +52,10 @@
 
     numerical_grad_error_1 = tf.test.compute_gradient_error([input_const], [input_value.shape], y, y_shape)
     numerical_grad_error_2 = tf.test.compute_gradient_error([input_const], [input_value.shape], mean, [])
-    print numerical_grad_error_1, numerical_grad_error_2
+    print(numerical_grad_error_1, numerical_grad_error_2)
 
 with tf.Session('') as sess:
     y_output = sess.run(y, feed_dict={input: input_value, rois: rois_value})
-    print 'y: ', y_output
+    print('y: ', y_output)
     grads_output = sess.run(grads, feed_dict={input: input_value, rois: rois_value})
-    print 'grads: ', grads_output
+    print('grads: ', grads_output)