fix cifar bug

example_cifar10.py

@@ -157,8 +157,6 @@ if __name__ == '__main__':
 
     if args.gpu:
         os.environ['CUDA_VISIBLE_DEVICES'] = args.gpu
-    else:
-        os.environ['CUDA_VISIBLE_DEVICES'] = '0'
 
     with tf.Graph().as_default():
         with tf.device('/cpu:0'):

example_mnist.py

@@ -96,8 +96,8 @@ def get_config():
     lr = tf.train.exponential_decay(
         learning_rate=1e-3,
         global_step=get_global_step_var(),
-        decay_steps=dataset_train.size() * 20,
-        decay_rate=0.1, staircase=True, name='learning_rate')
+        decay_steps=dataset_train.size() * 10,
+        decay_rate=0.5, staircase=True, name='learning_rate')
     tf.scalar_summary('learning_rate', lr)
 
     return TrainConfig(

tensorpack/dataflow/dataset/cifar10.py

@@ -6,6 +6,7 @@ import os, sys
 import pickle
 import numpy as np
 import random
+import six
 from six.moves import urllib, range
 import copy
 import tarfile
@@ -44,7 +45,10 @@ def read_cifar10(filenames):
     ret = []
     for fname in filenames:
         fo = open(fname, 'rb')
+        if six.PY3:
             dic = pickle.load(fo, encoding='bytes')
+        else:
+            dic = pickle.load(fo)
         data = dic[b'data']
         label = dic[b'labels']
         fo.close()