demoing with test data
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@ -19,7 +19,7 @@ def run_dcrnn(args):
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# tf_config = tf.ConfigProto(device_count={'GPU': 0})
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# with tf.Session(config=tf_config) as sess:
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supervisor = DCRNNSupervisor(adj_mx=adj_mx, **supervisor_config)
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mean_score, outputs = supervisor.evaluate()
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mean_score, outputs = supervisor.evaluate('test')
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np.savez_compressed(args.output_filename, **outputs)
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print('Predictions saved as {}.'.format(args.output_filename))
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