rule: self.all(l1, self.exists_one(l2, l1.name == l2.name))
                - message: Combination of port, protocol and hostname must be unique
                    for each listener
                  rule: 'self.all(l1, self.exists_one(l2, l1.port == l2.port && l1.protocol
                    == l2.protocol && (has(l1.hostname) && has(l2.hostname) ? l1.hostname
                    == l2.hostname : !has(l1.hostname) && !has(l2.hostname))))'

    Arg<TF_NumberTensor, [{Scaling factor. Must be a scalar.}]>:$lr,
    Arg<TF_NumberTensor, [{L1 regularization. Must be a scalar.}]>:$l1,
    Arg<TF_NumberTensor, [{L2 regularization. Must be a scalar.}]>:$l2,
    Arg<TF_Int64Tensor, [{Training step number. Must be a scalar.}]>:$global_step,

    DefaultValuedOptionalAttr<BoolAttr, "false">:$use_locking
  );

  let results = (outs);

        the box; each call to .train() will now create a separate tfevents file
        rather than re-using a shared one.
    *   Fix FTRL L2-shrinkage behavior: the gradient from the L2 shrinkage term
        should not end up in the accumulator.
    *   Fix toco compilation/execution on Windows.
    *   GoogleZoneProvider class added to detect which Google Cloud Engine zone