losses will now use `SUM_OVER_BATCH_SIZE` reduction as default.
    *   `model.add_loss(symbolic_tensor)` should work in ambient eager.
    *   Update metric name to always reflect what the user has given in compile.
        Affects following cases
    *   When name is given as 'accuracy'/'crossentropy'
    *   When an aliased function name is used eg. 'mse'
    *   Removing the `weighted` prefix from weighted metric names.

  means setting the this means setting the registry value of hostname for the registry key HKEY_LOCAL_MACHINE\\SYSTEM\\CurrentControlSet\\Services\\Tcpip\\Parameters to FQDN. 
  If a pod does not have FQDN, this has no effect. ([#91699](https://github.com/kubernetes/kubernetes/pull/91699), [@javidiaz](https://github.com/javidiaz)) [SIG Apps, Network, Node and Testing]