attr->contains("Truncate") && !attr->at("Truncate").b()) {
    node_def->set_op("Identity");
    attr->insert({{"T", attr->at("SrcT")}});
    attr->erase("SrcT");
    attr->erase("DstT");
    attr->erase("Truncate");
  }
}

}  // namespace

Status GetAttrValuesFromOperation(
    mlir::Operation* inst, llvm::StringRef name,
    const tensorflow::OpRegistrationData* op_reg_data,

      /*operands=*/merged_else_yield_values);
}

// Merge the IfRegions in each segment. In the meantime, the old IfRegions in
// the segment will be added to `regions_to_remove`. They will be erased in the
// end.
// `if_op_segment` refers to segments of IfRegions. `moved_op_list` refers to
// the ops to be moved after new merged IfRegion. `regions_to_remove` refers to

    // we replace that block-argument's uses with the same (implicitly captured)
    // token 'token', used for If op, and erase the argument.
    // Note that 'RewriteControlFlowOpRegion' sets the token, used for the first
    // operation of region_idx'th region, to the dummy block-argument. As we
    // erase that argument, we also need to make sure that the token used for
    // the next operation is set to 'token'.

          op->getLoc(), DenseIntElementsAttr::get(
                            RankedTensorType::get({}, builder.getI64Type()),
                            {device_ordinal}));
      op->replaceAllUsesWith(const_op);
      op->erase();
      return WalkResult::advance();
    }

    if (!devices.has_value()) return WalkResult::advance();

    // Map aliased devices to explicit devices based on replica.

      }
    }
    state.addOperands(operands);
    Operation* new_op = builder.create(state);
    item.replaceAllUsesWith(new_op);
    new_op->setAttrs(item.getAttrDictionary());
    item.erase();
  }
  AddStatefulControlFlowDependencies(graph_op);
}

// Populates an empty IslandOp and with a NoOp or Identity/IdentityN depending
// on if there are any data results.

  // Get rid of all CR characters, we may be running under windows.
  string sanitized_expected_contents(expected_contents);
  if (ignore_cr) {
    sanitized_expected_contents.erase(
        std::remove(sanitized_expected_contents.begin(),
                    sanitized_expected_contents.end(), '\r'),
        sanitized_expected_contents.end());
  }

      then_name, else_name, if_region.getIsStateless());
  CopyAndOverrideAttributes(if_region, if_op, &builder);

  if_region.replaceAllUsesWith(if_op.getResults());
  if_region.erase();

  if (to_bool && to_bool.use_empty()) to_bool.erase();
  return success();
}

// Transform CaseRegion to Case.
LogicalResult RegionControlFlowToFunctional::ConvertCaseOp(

          auto s_const = builder.create<SparseConstOp>(
              op->getLoc(), cst.getValue(), s_param, new_value);
          value.replaceAllUsesWith(s_const.getResult());
          cst.erase();
        } else if (type.getElementType().isF16()) {
          std::vector<Eigen::half> dense_data;
          dense_data.reserve(type.getNumElements());
          for (const auto& val : attr.getValues<APFloat>())

  it->second--;
  if (it->second != 0) {
    return;
  }
  tensor_usage_.erase(it);
  auto tensor_op_it = tensor_tape_.find(tensor_id);
  if (tensor_op_it == tensor_tape_.end()) {
    return;
  }
  const int64_t op_id = tensor_op_it->second;
  if (op_id == -1) {
    // Do not delete watched tensors.
    return;
  }
  tensor_tape_.erase(tensor_op_it);
  auto op_it = op_tape_.find(op_id);

    }
    args.append(new_args.begin(), new_args.end());
  } else {
    args.append(yield_op->operand_begin(), yield_op->operand_end());
  }
  b.create<func::ReturnOp>(yield_op->getLoc(), args);
  yield_op->erase();
  SymbolTable(region.getParentOfType<ModuleOp>()).insert(outlined_func);
  outlined_func.setPrivate();
  return outlined_func;
}

// Replace region with call to outline function.