Handle "long" type in Python 2 (#737)

examples/ResNet/README.md

@@ -7,8 +7,8 @@ __Training__ code of three variants of ResNet on ImageNet:
 * [Pre-activation ResNet](https://arxiv.org/abs/1603.05027)
 * [Squeeze-and-Excitation ResNet](https://arxiv.org/abs/1709.01507)
 
-The training mostly follows the setup in [fb.resnet.torch](https://github.com/facebook/fb.resnet.torch)
-and gets similar performance (with much fewer lines of code).
+The training follows the __exact__ recipe used by the [Training ImageNet in 1 Hour paper](https://arxiv.org/abs/1706.02677)
+and gets the same performance.
 Models can be [downloaded here](http://models.tensorpack.com/ResNet/).
 
 | Model              | Top 5 Error | Top 1 Error |

tensorpack/dataflow/common.py

@@ -3,6 +3,7 @@
 
 
 from __future__ import division
+import six
 import numpy as np
 from copy import copy
 import pprint
@@ -131,7 +132,7 @@ class BatchData(ProxyDataFlow):
                     [x[k] for x in data_holder])
             else:
                 dt = data_holder[0][k]
-                if type(dt) in [int, bool]:
+                if type(dt) in list(six.integer_types) + [bool]:
                     tp = 'int32'
                 elif type(dt) == float:
                     tp = 'float32'