update readme

README.md

@@ -3,7 +3,11 @@ Neural Network Toolbox on TensorFlow
 
 In development but usable. API might change a bit.
 
-See some interesting [examples](https://github.com/ppwwyyxx/tensorpack/tree/master/examples) to learn.
+See some interesting [examples](https://github.com/ppwwyyxx/tensorpack/tree/master/examples) to learn about the framework:
+
++ [Double-DQN for playing Atari games](https://github.com/ppwwyyxx/tensorpack/tree/master/examples/Atari2600)
++ [ResNet for Cifar10 classification](https://github.com/ppwwyyxx/tensorpack/tree/master/examples/ResNet)
++ [char-rnn language model](https://github.com/ppwwyyxx/tensorpack/tree/master/examples/char-rnn)
 
 ## Features:
 

examples/char-rnn/char-rnn.py

@@ -13,11 +13,8 @@ import six
 from six.moves import map, range
 
 from tensorpack import *
-from tensorpack.models import  *
-from tensorpack.utils import  *
 from tensorpack.tfutils.gradproc import  *
 from tensorpack.utils.lut import LookUpTable
-from tensorpack.callbacks import *
 
 from tensorflow.python.ops import rnn_cell
 from tensorflow.python.ops import rnn
@@ -190,8 +187,6 @@ if __name__ == '__main__':
     args = parser.parse_args()
     if args.gpu:
         os.environ['CUDA_VISIBLE_DEVICES'] = args.gpu
-    else:
-        os.environ['CUDA_VISIBLE_DEVICES'] = '0'
 
     if args.command == 'sample':
         param.softmax_temprature = args.temperature
@@ -199,7 +194,6 @@ if __name__ == '__main__':
         sample(args.load, args.start, args.num)
         sys.exit()
     else:
-        with tf.Graph().as_default():
         config = get_config()
         if args.load:
             config.session_init = SaverRestore(args.load)

tensorpack/utils/utils.py

@@ -70,8 +70,9 @@ class memoized(object):
        '''Support instance methods.'''
        return functools.partial(self.__call__, obj)
 
-def get_rng(self):
-    seed = (id(self) + os.getpid() +
+def get_rng(obj=None):
+    """ obj: some object to use to generate random seed"""
+    seed = (id(obj) + os.getpid() +
             int(datetime.now().strftime("%Y%m%d%H%M%S%f"))) % 4294967295
     return np.random.RandomState(seed)