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Make compatible to TensorFlow past Nov 6, 2017 #64

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Make compatible to TensorFlow past Nov 6, 2017 #64

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6 changes: 3 additions & 3 deletions run_summarization.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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.iteritems(): # 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
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