model = ConvolutionalCopyAttentionalRecurrentLearner.load(model_fname)
test_data, original_names = model.naming_data.get_data_in_recurrent_copy_convolution_format(test_file, model.padding_size)
test_name_targets, test_code_sentences, test_code, test_target_is_unk, test_copy_vectors = test_data
idx = 2  # pick an example from test_file
res = model.predict_name(np.atleast_2d(test_code[idx]))
print "original name:", ' '.join(original_names[idx].split(','))
print "code:", ' '.join(test_code[idx])
print "generated names:"
for r,v in res:
    print v, ' '.join(r)