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我用英文回答你,防止有的外国学术人也遇到这个问题哈。谢谢你的问题。 DCRNN 已在我们的存储库中复现,但请记住 run_demo_pytorch.py 用于直接测试项目,dcrnn_train_pytorch.py 用于训练模型。 这意味着当您换为其他数据集时,某些独特因素(例如 LOAD_INITIAL)不会更改。你只需要更改跟数据集相关的参数就可以。
Thank you for your question. The DCRNN has been reproduced in our repository, but please remember that the run_demo_pytorch.py is used to test the project directly, and dcrnn_train_pytorch.py is used to train the model. This means that some unique factors, such as LOAD_INITIAL, are not changed when you change the other datasets. You can change the parameters that are related to your datasets.
您好,感谢您的项目让我受益匪浅。我是一个初学者,现在我有一个困惑:在基线模型DCRNN中,在run_demo_pytorch.py和dcrnn_train_pytorch.py中均有 parser.add_argument('--LOAD_INITIAL', default=False, type=bool, help='If LOAD_INITIAL.')
parser.add_argument('--TEST_ONLY', default=False, type=bool, help='If TEST_ONLY.')这两行代码,那么什么时候需要设置LOAD_INITIAL为True,什么时候需要设置TEST_ONLY为True呢?希望您能够解答。
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