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@@ -86,7 +86,7 @@ def predict(config, test_X):
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test_len = len(test_X)
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with tf.Session() as sess:
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module_file = tf.train.latest_checkpoint(config.model_save_path + config.model_name)
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module_file = tf.train.latest_checkpoint(config.model_save_path)
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model.saver.restore(sess, module_file)
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result = np.zeros((test_len * config.time_step, config.output_size))
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