// 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

    if (candidate_result == body_yield_operand) continue;
    if (!candidate_result.use_empty()) return false;
  }

  // Now we know that it is safe to erase the candidate op along with `result`
  // and the corresponding operand. Here we only erase the op and replace its
  // result usage with the corresponding block argument, the result and operand
  // will be removed later in a canonicalization pattern.

      ABSL_EXCLUSIVE_LOCKS_REQUIRED(mu_) {
    auto it = cache_.find(key);
    if (it == cache_.end()) {
      return false;
    }
    lru_list_.erase(it->second.lru_iterator);
    if (timer_seconds_() - it->second.timestamp > max_age_) {
      cache_.erase(it);
      return false;
    }
    *value = it->second.value;
    lru_list_.push_front(it->first);
    it->second.lru_iterator = lru_list_.begin();

      }

      read_variable_op.erase();
      continue;
    }

    if (auto assign_variable_op = dyn_cast<TF::AssignVariableOp>(&op)) {
      Value resource = assign_variable_op.getResource();
      auto last_store = resource_handle_to_last_store_op[resource];
      // Previous store ops to same resource can be erased.
      if (last_store) last_store.erase();

  TF_CHECK_OK(ReadFileToString(env, source_file_name, &expected_source));

  // Remove carriage returns (for Windows)
  expected_header.erase(
      std::remove(expected_header.begin(), expected_header.end(), '\r'),
      expected_header.end());
  expected_source.erase(
      std::remove(expected_source.begin(), expected_source.end(), '\r'),
      expected_source.end());

  EXPECT_EQ(expected_header, generated_header);