TensorFlow fix as per abisee#64

Author: ymfa

run_summarization.py

@@ -294,9 +294,9 @@ def main(unused_argv):
   # Make a namedtuple hps, containing the values of the hyperparameters that the model needs
   hparam_list = ['mode', 'lr', 'adagrad_init_acc', 'rand_unif_init_mag', 'trunc_norm_init_std', 'max_grad_norm', 'hidden_dim', 'emb_dim', 'batch_size', 'max_dec_steps', 'max_enc_steps', 'coverage', 'cov_loss_wt', 'pointer_gen']
   hps_dict = {}
-  for key,val in FLAGS.__flags.items(): # for each flag
-    if key in hparam_list: # if it's in the list
-      hps_dict[key] = val # add it to the dict
+  for key in hparam_list: # for each hyperparameter
+    if hasattr(FLAGS, key): # if it was given on the command line
+      hps_dict[key] = getattr(FLAGS, key) # add it to the dict
   hps = namedtuple("HParams", hps_dict.keys())(**hps_dict)
 
   # Create a batcher object that will create minibatches of data