dead_ops.insert(vars.begin(), vars.end());

  // Removes relevant ops in topological order.
  for (auto& op : vars) RecursiveRemove(op, erase_list, dead_ops);

  // Erases the ops.
  for (auto op : erase_list) op->erase();
}

void RemoveVariablesInSessionInitializerPass::runOnOperation() {
  ModuleOp module_op = getOperation();

  for (auto init_func_op : GetInitializerFunctions(module_op)) {

  // argument is not erased.

  "tf_saved_model.global_tensor"() { sym_name = "exported_unbound", tf_saved_model.exported_names = ["exported_unbound"], type = tensor<f32>, value = dense<42.> : tensor<f32> } : () -> ()
  // CHECK: sym_name = "exported_unbound"

  // Test case: Check that a global tensor that isn't even bound to an argument
  // is erased.

      CreateRemoteRunCalls(context, *metadatas);

      // Erases the original operations which have been cloned in the remote
      // functions.
      for (auto &iter : *metadatas) {
        llvm::StringRef host = iter.first();
        FunctionMetadata &metadata = iter.second;
        // Do not erase operations placed on the localhost.
        if (IsOnLocalHost(host)) continue;

  while (!control_barrier_worklist.empty()) {
    Value control_barrier = control_barrier_worklist.front();
    control_barrier_worklist.pop();

    // We can only erase control barriers whose uses have been erased as well.
    if (!control_barrier.use_empty()) continue;

    // Only values defined by IslandOp were inserted in the worklist.

  // corresponding VarHandleOps.
  CreateAssignVariableOps(const_op_name_map, session_init_func);

  // Erase the ConstOps that are replaced by VarHandleOps.
  absl::c_for_each(target_const_ops, [](auto const_op) { const_op.erase(); });
}

}  // namespace

std::unique_ptr<OperationPass<ModuleOp>> CreateUnfreezeConstantsPass() {
  return std::make_unique<UnfreezeConstantsPass>();

   * are valid.
   *
   * @param rowKey row key of mapping to be erased
   * @param columnKey column key of mapping to be erased
   * @return the value previously associated with the keys, or {@code null} if no mapping existed
   *     for the keys
   */
  @CanIgnoreReturnValue
  @CheckForNull
  public V erase(@CheckForNull Object rowKey, @CheckForNull Object columnKey) {

      dq.getOutput().replaceAllUsesWith(dcast);
      dq.erase();
    } else if (auto q = llvm::dyn_cast<QuantizeOp>(op)) {
      auto qcast = b.create<quantfork::QuantizeCastOp>(
          q.getLoc(), q.getOutput().getType(), q.getInput());
      q.getOutput().replaceAllUsesWith(qcast);
      q.erase();
    } else if (auto q = llvm::dyn_cast<ConstOp>(op)) {
      auto value = q.getValue();

   * are valid.
   *
   * @param rowKey row key of mapping to be erased
   * @param columnKey column key of mapping to be erased
   * @return the value previously associated with the keys, or {@code null} if no mapping existed
   *     for the keys
   */
  @CanIgnoreReturnValue
  @CheckForNull
  public V erase(@CheckForNull Object rowKey, @CheckForNull Object columnKey) {

            1 * ansi.eraseLine(Ansi.Erase.ALL)
            1 * ansi.cursorDown(1)
            1 * ansi.eraseLine(Ansi.Erase.ALL)
            1 * ansi.cursorDown(1)
            1 * ansi.eraseLine(Ansi.Erase.ALL)

            // Parking
            1 * ansi.cursorDown(1)
            1 * ansi.eraseLine(Ansi.Erase.ALL)

            1 * ansi.cursorUp(absoluteDeltaRowToAreaTop)

    new_outputs.push_back(it->getSecond().size);
  }
  OpBuilder(old_terminator)
      .create<TerminatorOp>(old_terminator->getLoc(), new_outputs);
  old_terminator->erase();
  return output_buffer_to_size;
}

// Adds the corresponding sizes of tensor list buffers in func's return values
// to the list of return values. Returns the mapping from the buffer indices to