WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function. WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer.iter WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer.beta_1 WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer.beta_2 WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer.decay WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer.learning_rate

这些警告信息是由 TensorFlow 发出的，表示在删除对象或模型或 tf.train.Checkpoint 时检测到有未恢复的值。警告还指出在恢复过程中找不到某些特定的值，如 (root).optimizer.iter、(root).optimizer.beta_1、(root).optimizer.beta_2、(root).optimizer.decay 和 (root).optimizer.learning_rate。

要消除这些警告，您可以使用 `status.expect_partial()` 方法来告知 TensorFlow 只期望部分值被恢复，而不是所有值。这样可以使 TensorFlow 在加载模型时忽略这些未恢复的值。

以下是一个示例代码片段，演示如何使用 `status.expect_partial()` 来消除这些警告：

checkpoint = tf.train.Checkpoint(model=model)
checkpoint.restore(file_path).expect_partial()

请注意，`model` 是您要加载的模型对象，`file_path` 是模型的检查点文件路径。通过调用 `expect_partial()`，您告诉 TensorFlow 只期望部分值被恢复，并且这些警告将不再显示。

这些警告并不一定会导致错误，如果您的代码执行正常且得到正确的结果，可以忽略这些警告。但如果您希望避免这些警告，可以使用上述方法消除它们。