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DCRNN
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demoing with test data

This commit is contained in:
Chintan Shah 2019-10-08 13:11:43 -04:00
parent d2913fd6f1
commit f720529ac9
1 changed files with 1 additions and 1 deletions
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run_demo_pytorch.py
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@ -19,7 +19,7 @@ def run_dcrnn(args):
# tf_config = tf.ConfigProto(device_count={'GPU': 0}) # tf_config = tf.ConfigProto(device_count={'GPU': 0})
# with tf.Session(config=tf_config) as sess: # with tf.Session(config=tf_config) as sess:
supervisor = DCRNNSupervisor(adj_mx=adj_mx, **supervisor_config) supervisor = DCRNNSupervisor(adj_mx=adj_mx, **supervisor_config)
mean_score, outputs = supervisor.evaluate() mean_score, outputs = supervisor.evaluate('test')
np.savez_compressed(args.output_filename, **outputs) np.savez_compressed(args.output_filename, **outputs)
print('Predictions saved as {}.'.format(args.output_filename)) print('Predictions saved as {}.'.format(args.output_filename))