fix py2/3 compatibilty in char-rnn

examples/A3C-Gym/README.md

@@ -25,7 +25,7 @@ multiprocess Python program to get a cgroup dedicated for the task.
 
 Models are available for the following atari environments (click to watch videos of my agent):
 
-+ [AirRaid](https://gym.openai.com/evaluations/eval_zIeNk5MxSGOmvGEUxrZDUw) (this one is flickering, don't know why)
++ [AirRaid](https://gym.openai.com/evaluations/eval_zIeNk5MxSGOmvGEUxrZDUw) (this one is flickering due to [gym settings](https://github.com/openai/gym/issues/378))
 + [Alien](https://gym.openai.com/evaluations/eval_8NR1IvjTQkSIT6En4xSMA)
 + [Amidar](https://gym.openai.com/evaluations/eval_HwEazbHtTYGpCialv9uPhA)
 + [Assault](https://gym.openai.com/evaluations/eval_tCiHwy5QrSdFVucSbBV6Q)

examples/Char-RNN/char-rnn.py

@@ -38,11 +38,15 @@ class CharRNNData(RNGDataFlow):
 
         logger.info("Loading corpus...")
         # preprocess data
-        with open(input_file) as f:
+        with open(input_file, 'rb') as f:
             data = f.read()
+        if six.PY2:
+            data = bytearray(data)
+        data = [chr(c) for c in data if c < 128]    # TODO this is Py2 only
         counter = Counter(data)
         char_cnt = sorted(counter.items(), key=operator.itemgetter(1), reverse=True)
         self.chars = [x[0] for x in char_cnt]
+        print(sorted(self.chars))
         self.vocab_size = len(self.chars)
         param.vocab_size = self.vocab_size
         self.lut = LookUpTable(self.chars)

tensorpack/callbacks/concurrency.py

@@ -33,7 +33,7 @@ class StartProcOrThread(Callback):
 
     def _before_train(self):
         logger.info("Starting " +
-                    ', '.join([k.name for k in self._procs_threads]))
+                    ', '.join([k.name for k in self._procs_threads]) + ' ...')
         # avoid sigint get handled by other processes
         start_proc_mask_signal(self._procs_threads)