absl::Span<const std::string> inputs,
    absl::Span<
        const std::pair<std::string, FunctionDefHelper::AttrValueWrapper>>
        attrs) {
  NodeDef node;
  node.set_name(std::string(name));
  node.set_op(std::string(op));
  for (const auto& input : inputs) node.add_input(input);
  for (const auto& attr : attrs)
    node.mutable_attr()->insert({attr.first, attr.second.proto});
  return node;
}

}  // namespace

    for (auto arg : f.getBody().front().getArguments()) {
      argument_types.push_back(arg.getType());
    }
    std::vector<Type> return_types;
    for (auto ret_op : ret->getOperands()) {
      return_types.push_back(ret_op.getType());
    }
    auto newType =
        FunctionType::get(rewriter.getContext(), argument_types, return_types);
    if (f.getFunctionType() == newType) {
      return failure();

		// sigpanic and we won't get to see who faulted).
		if pc != 0 {
			if usesLR {
				c.setlr(pc)
			} else {
				sp -= goarch.PtrSize
				*(*uintptr)(unsafe.Pointer(sp)) = pc
				c.setsp(sp)
			}
		}
		if usesLR {
			c.setpc(abi.FuncPCABI0(sigpanictramp))
		} else {
			c.setpc(abi.FuncPCABI0(sigpanic0))
		}
		return _NCONT
	}
	if flags&_SigNotify != 0 {

}

void TestScalarSummaryOp(Tensor* tags, Tensor* values, string expected_output,
                         error::Code expected_code) {
  // Initialize node used to fetch OpKernel
  Status status;
  NodeDef def;
  def.set_op("ScalarSummary");

  def.set_device(DEVICE_CPU);

  AttrValue valuesTypeAttr;
  SetAttrValue(values->dtype(), &valuesTypeAttr);
  (*def.mutable_attr())["T"] = valuesTypeAttr;

		{&obj.Addr{Type: obj.TYPE_ADDR, Name: obj.NAME_EXTERN, Sym: &obj.LSym{}}, Yi32},

		{immAddr(-200), Yi32},

		{regAddr(REG_SP), Yrl32},
		{regAddr(REG_SI), Yrl32},
		{regAddr(REG_DI), Yrl32},
	}

	// Add tests that are arch-independent for all sets.
	oclassTestsAMD64 = append(oclassTestsAMD64, oclassTestsCommon...)
	oclassTests386 = append(oclassTests386, oclassTestsCommon...)
}

    return control_deps_;
  }
  const std::optional<AttrKeyValuePair>& attr() const { return attr_; }

  void set_name(string name) {
    DCHECK(IsEmpty());
    name_ = std::move(name);
  }

  void set_op(string op) {
    DCHECK(IsEmpty());
    op_ = std::move(op);
  }

  void set_assigned_device(string assigned_device) {
    DCHECK(IsEmpty());
    assigned_device_ = std::move(assigned_device);
  }

				continue
			}
			// Entry from internal/poll.
			mode := op.mode
			if mode != 'r' && mode != 'w' {
				println("runtime: GetQueuedCompletionStatusEx returned net_op with invalid mode=", mode)
				throw("runtime: netpoll failed")
			}
			delta += netpollready(&toRun, op.pd, mode)
		case netpollSourceBreak:
			netpollWakeSig.Store(0)
			if delay == 0 {

		p.As = APUSHQ
		p.From.Type = obj.TYPE_REG
		p.From.Reg = REG_BP

		// Move current frame to BP
		p = obj.Appendp(p, newprog)

		p.As = AMOVQ
		p.From.Type = obj.TYPE_REG
		p.From.Reg = REG_SP
		p.To.Type = obj.TYPE_REG
		p.To.Reg = REG_BP
	}

	if autoffset%int32(ctxt.Arch.RegSize) != 0 {
		ctxt.Diag("unaligned stack size %d", autoffset)
	}

                             const string& node_name, int num_constant_args,
                             int num_resource_args, Node** result) {
  NodeDef call_node;
  call_node.set_name(node_name);
  call_node.set_op(callee_name);
  AddNodeAttr(kXlaCompiledKernelAttr, true, &call_node);
  AddNodeAttr(kXlaNumConstantArgsAttr, num_constant_args, &call_node);
  AddNodeAttr(kXlaNumResourceArgsAttr, num_resource_args, &call_node);

		r := v.Args[0].Reg()
		i := v.Args[1].Reg()
		p := s.Prog(x86.ALEAL)
		switch v.Op {
		case ssa.Op386LEAL1:
			p.From.Scale = 1
			if i == x86.REG_SP {
				r, i = i, r
			}
		case ssa.Op386LEAL2:
			p.From.Scale = 2
		case ssa.Op386LEAL4:
			p.From.Scale = 4
		case ssa.Op386LEAL8:
			p.From.Scale = 8
		}
		p.From.Type = obj.TYPE_MEM