解释这行代码 flags.DEFINE_string("checkpoint_dir", "checkpoint", "Name of checkpoint directory [checkpoint]")
时间: 2023-11-29 12:04:34 浏览: 70
这行代码定义了一个命令行参数,名为"checkpoint_dir",默认值为"checkpoint",用于指定模型checkpoint的存储目录。即在运行程序时,我们可以通过设置"--checkpoint_dir"参数来指定模型checkpoint的存储目录,如果没有设置,则使用默认值"checkpoint"。
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saver.save(sess, '{}/model.ckpt'.format(flags.model_dir))
As an AI language model, I do not have access to your local files or the context in which this code is used. However, based on the code snippet provided, this line of code saves the TensorFlow session 'sess' and its variables to a checkpoint file named 'model.ckpt' in the directory specified by 'flags.model_dir'. This checkpoint file can then be used later to restore the saved session and its variables.
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