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);

			x := v_1
			v.reset(OpAMD64TESTBconst)
			v.AuxInt = int8ToAuxInt(int8(c))
			v.AddArg(x)
			return true
		}
		break
	}
	// match: (TESTB l:(MOVBload {sym} [off] ptr mem) l2)
	// cond: l == l2 && l.Uses == 2 && clobber(l)
	// result: @l.Block (CMPBconstload {sym} [makeValAndOff(0, off)] ptr mem)
	for {
		for _i0 := 0; _i0 <= 1; _i0, v_0, v_1 = _i0+1, v_1, v_0 {
			l := v_0

        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