// updated in the function.
  llvm::SmallSet<int, 4> indexes;
  for (BlockArgument &arg : func.getArguments()) {
    if (tensor_list_args.contains(arg.getArgNumber())) {
      for (const mlir::OpOperand &use : arg.getUses()) {
        mlir::Operation *op = use.getOwner();
        // Currently we only check if the tensorlist argument is consumed by
        // `TensorListPushBack` or `TensorListResize`, since those are the only

		return remote.ErrContainerStatusNil
	}
	return m.ReadLogs(ctx, status.GetLogPath(), containerID.ID, logOptions, stdout, stderr)
}

// GetExec gets the endpoint the runtime will serve the exec request from.
func (m *kubeGenericRuntimeManager) GetExec(ctx context.Context, id kubecontainer.ContainerID, cmd []string, stdin, stdout, stderr, tty bool) (*url.URL, error) {
	req := &runtimeapi.ExecRequest{
		ContainerId: id.ID,

        !(qtype.isa<mlir::quant::UniformQuantizedType>() ||
          qtype.isa<mlir::quant::UniformQuantizedPerAxisType>())) {
      return;
    }
    for (auto& use : value.getUses()) {
      Operation* user = use.getOwner();
      if (user->hasTrait<mlir::OpTrait::IsTerminator>()) continue;

      auto affine_user = llvm::dyn_cast<mlir::AffineQuantizedOpInterface>(user);
      if (affine_user &&

        try ( SmbTreeHandleImpl th = ensureTreeConnected() ) {
            SecurityDescriptor desc = querySecurity(th, SecurityInfo.DACL_SECURITY_INFO);
            ACE[] aces = desc.getAces();
            if ( aces != null ) {
                processAces(aces, resolveSids);
            }

            return aces;
        }
    }


    @Override