Some Python 3 fixes in ./tools

tools/accnn/rank_selection.py

@@ -16,12 +16,14 @@
 # under the License.
 
 import numpy as np
-import mxnet as mx
 import json
 import utils
 import math
 import sys
 
+from mxnet.base import xrange
+
+
 def calc_complexity(ishape, node):
   y, x = map(int, eval(node['param']['kernel']))
   N = int(node['param']['num_filter'])

tools/accnn/utils.py

@@ -21,6 +21,8 @@
 import json
 import ast
 
+from mxnet.base import xrange
+
 
 def load_model(args):
   devs = mx.cpu() if args.gpus == None else [mx.gpu(int(i)) for i in args.gpus.split(',')]

tools/caffe_converter/convert_symbol.py

@@ -20,8 +20,10 @@
 from __future__ import print_function
 import argparse
 import re
+import mxnet as mx
 import caffe_parser
 
+
 def _get_input(proto):
     """Get input size
     """

tools/coreml/test/test_mxnet_image.py

@@ -21,13 +21,15 @@
 import unittest
 import sys
 import os
+
+from mxnet.base import xrange
+
 current_working_directory = os.getcwd()
 sys.path.append(current_working_directory + "/..")
 sys.path.append(current_working_directory + "/../converter/")
 import _mxnet_converter as mxnet_converter
 from converter.utils import load_model
 
-
 VAL_DATA = 'data/val-5k-256.rec'
 URL = 'http://data.mxnet.io/data/val-5k-256.rec'
 
@@ -134,4 +136,4 @@ def test_vgg16(self):
 
 if __name__ == '__main__':
     suite = unittest.TestLoader().loadTestsFromTestCase(ImageNetTest)
-    unittest.TextTestRunner(verbosity=2).run(suite)
+    unittest.TextTestRunner(verbosity=2).run(suite)

tools/coreml/test/test_mxnet_models.py

@@ -21,11 +21,14 @@
 import numpy as np
 import sys
 import os
+from collections import namedtuple
+
+from mxnet.base import xrange
+
 current_working_directory = os.getcwd()
 sys.path.append(current_working_directory + "/..")
 sys.path.append(current_working_directory + "/../converter/")
 import _mxnet_converter as mxnet_converter
-from collections import namedtuple
 
 
 def _mxnet_remove_batch(input_data):