if (!result_ty) {
      return emitOptionalError(location, "Expected shape type for operand 0");
    }
    for (auto [index, ty] :
         llvm::drop_begin(llvm::enumerate(operands.getTypes()), 1)) {
      auto shape_type = llvm::dyn_cast_or_null<ShapedType>(ty);
      if (!shape_type) {
        return emitOptionalError(location, "Expected shape type for operand ",

	}
	word, cond = p.lex.Text(), ""
	operands = scratch[:0]
	// Zero or more comma-separated operands, one per loop.
	nesting := 0
	colon := -1
	for tok != '\n' && tok != ';' {
		// Process one operand.
		var items []lex.Token
		if cap(operands) > len(operands) {
			// Reuse scratch items slice.
			items = operands[:cap(operands)][len(operands)][:0]
		} else {
			items = make([]lex.Token, 0, 3)
		}

    new_types.back() = rewriter.getType<tf_executor::ControlType>();

    // Control operand is attached on tf_executor::IslandOp.
    llvm::SmallVector<Value> island_control_operands;
    llvm::SmallVector<Value> inner_op_operands;

    for (Value value : operands) {
      // Because of the property of graph region, the control operands may
      // not have been converted to tf_executor::ControlType.

    for (Value operand : fetch_op.getFetches()) {
      // Control results should not be propagated out.
      if (mlir::isa<ControlType>(operand.getType())) break;

      if (operand.getDefiningOp() != island_op) {
        // Operand is not from island, simply propagate it out.
        new_rets.push_back(operand);
      } else {
        // Lookup yield operand in island for inner op result.

// GLOBL shifts<>(SB),$256
func (p *Parser) asmGlobl(operands [][]lex.Token) {
	if len(operands) != 2 && len(operands) != 3 {
		p.errorf("expect two or three operands for GLOBL")
		return
	}

	// Operand 0 has the general form foo<>+0x04(SB).
	nameAddr := p.address(operands[0])
	if !p.validSymbol("GLOBL", &nameAddr, false) {
		return
	}
	next := 1

	// Next operand is the optional flag, a literal integer.

  // Collect operands for the new merged island.
  island_operands_and_results.operands.clear();
  for (IslandOp island : merged_island.islands)
    island_operands_and_results.operands.insert(island.operand_begin(),
                                                island.operand_end());
  for (IslandOp island : merged_island.islands)
    island_operands_and_results.operands.remove(island.getControl());

  MutableArrayRef<OpOperand> operands = GetOperandsForBlockArgument(block_arg);
  if (operands.size() == 1) return operands.front().get();

  return operands[replica].get();
}

// Returns the list of replica op operands that maps to the given block
// argument. Returns list with num_replicas elements for replicated operands
// and list with a single element for packed operands.
//
// Requires that block argument is of this replicate op.

// ops (like the `dim` argument for `TF::ExpandDimsOp`) determine the shape of
// the resulting tensor. If these operands are constants, they are duplicated
// and replace the shape-determining operands. Each duplicated constant will
// only be used as the shape-determining operand; it will not replace other
// usages of the original constant. If the operands are not constants (i.e.

  if (extra_operands.empty()) return;

  const int operands_size = while_op.getNumOperands() + extra_operands.size();
  SmallVector<Value, 4> operands;
  operands.reserve(operands_size);
  operands.append(while_op.getOperands().begin(), while_op.getOperands().end());
  operands.append(extra_operands.begin(), extra_operands.end());
  SmallVector<Type, 4> new_types;
  new_types.reserve(operands_size);

    OpBuilder<(ins "Value":$token, "ArrayRef<Value>":$operands,
      CArg<"ArrayRef<NamedAttribute>", "{}">:$attributes),
    [{
      assert(operands.size() >= 1 && "tf_executor.NextIteration.Sink builder "
             "expects at least one operand");
      $_state.operands.push_back(token);
      $_state.operands.insert($_state.operands.end(), operands.begin(),
                              operands.end());