gistfile1.txt

with tf.Session() as sess:
    sess.run(init)
    
    for iter in range(num_iter):
        x_batch , y_batch = ts_data.next_batch(batch_size,num_time_steps)
        
        sess.run(train,feed_dict={x:x_batch,y:y_batch})
        
        if iter %100==0:
        
            mse=loss.eval(feed_dict={x:x_batch,y:y_batch})
            print(iter, "\tMSE",mse)
            
        y_pred=sess.run(outputs,feed_dict={x:x_new})