// 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.

    return success();
  }

  // Returns directly if any of the operands is not an elements attributes.
  if (std::any_of(operands.begin(), operands.end(), [](Attribute attr) {
        return !attr || !mlir::isa<ElementsAttr>(attr);
      }))
    return failure();

  SmallVector<ElementsAttr, 4> inputs;
  inputs.reserve(operands.size());
  for (auto input : operands) {
    inputs.push_back(mlir::cast<ElementsAttr>(input));
  }

// 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.

    llvm::SetVector<Value> operands;
    getUsedValuesDefinedAbove(island_op.getBody(), operands);

    SmallVector<Type, 16> func_operand_types;
    func_operand_types.reserve(operands.size());
    for (Value operand : operands)
      func_operand_types.push_back(operand.getType());

    // Function results are the yield operands
    SmallVector<Type, 16> func_result_types;

    TFE_Context* context, llvm::SmallVectorImpl<mlir::Attribute>* results) {
  if (!context) {
    VLOG(1) << "Can't evaluate with null context.";
    return mlir::failure();
  }
  // If any operand is nullptr returns true for a failure.
  // TODO(b/120678030): remove this constraint if we find operators can be
  // evaluated with some unknown operands.

  // shape tensors in variadic shapes operand.
  if (operands.size() < 3) return failure();

  // Check concat_dim is a scalar.
  auto concat_dim_attr =
      mlir::dyn_cast_or_null<DenseIntElementsAttr>(operands[0]);
  if (!concat_dim_attr || concat_dim_attr.getType().getRank() != 0)
    return failure();

  llvm::SmallVector<DenseIntElementsAttr, 4> shapes;

  // core. j-th column holds the operands for j-th replica.
  llvm::SmallVector<llvm::SmallVector<Value, 4>, 4>
      operands_per_replica_per_core(num_cores_per_replica);

  // Collect all operands in the 2D matrix.
  for (auto operand : replicated_input.getInputs()) {
    Operation* pi = operand.getDefiningOp();
    for (unsigned core_id = 0; core_id < num_cores_per_replica; ++core_id) {

      if (mlir::isa<NoneType>(operand.getType()))
        operands.push_back(kTfLiteOptionalTensor);
      else if (auto stats_op =
                   llvm::dyn_cast_or_null<mlir::quantfork::StatisticsOp>(
                       operand.getDefiningOp()))
        operands.push_back(tensor_index_map.lookup(stats_op.getArg()));
      else
        operands.push_back(tensor_index_map.lookup(operand));
    }