if (!log_op || !log_op->hasOneUse()) {
      return failure();
    }
    auto sum_op = dyn_cast_or_null<TFL::SumOp>(log_op.getX().getDefiningOp());
    if (!sum_op || !sum_op.getKeepDims() ||
        !isSupportedAxis(
            sum_op.getAxes(),
            mlir::cast<ShapedType>(sum_op.getOperand(0).getType()).getRank())) {
      return failure();
    }
    if (!sum_op->hasOneUse()) {

  if (!result_ty) return {};

  // Bypass this op if the result has the same shape and type. This can happen
  // if the input tensor has size 0 or size 1.
  if (!getKeepDims() && input_ty == result_ty) {
    return getInput();
  }
  return {};
}

//===----------------------------------------------------------------------===//
// StridedSliceOp