// returned.
Operation* GetIslandInnerOpOrSelf(mlir::Operation* op) {
  auto island = llvm::dyn_cast<mlir::tf_executor::IslandOp>(op);
  if (island) return &island.GetBody().front();
  return op;
}

// Stateful helper class to export a function into a Graph.
class Exporter {
 public:
  // Converts the given Module to a Graph. The given module should only contain

// returned.
Operation* GetIslandInnerOpOrSelf(mlir::Operation* op) {
  auto island = llvm::dyn_cast<mlir::tf_executor::IslandOp>(op);
  if (island) return &island.GetBody().front();
  return op;
}

// Stateful helper class to export a function into a Graph.
class Exporter {
 public:
  // Converts the given Module to a Graph. The given module should only contain

  func.setType(updated_type);
}

// TODO(jpienaar): Remove when recursive side-effect modeling is added.
bool IsSideEffectFree(func::FuncOp func) {
  return !func.getBody()
              .walk([&](Operation* op) {
                if (!isMemoryEffectFree(op) &&
                    !op->hasTrait<OpTrait::IsTerminator>())
                  return WalkResult::interrupt();

    if (!symbol_attr) continue;

    func::FuncOp target_func = dyn_cast_or_null<func::FuncOp>(
        symbol_table.lookup(symbol_attr.getValue()));
    if (!target_func) continue;

    if (!target_func.getBody()
             .getOps<TF::CalibrationStatisticsSaverOp>()
             .empty()) {
      return true;
    }
  }
  return false;
}

}  // namespace

  if (shared_name.empty()) return false;

  for (func::FuncOp init_func_op :
       tf_saved_model::GetInitializerFunctions(module_op)) {
    for (Operation& op : init_func_op.getBody().getOps()) {
      StringRef other_shared_name = GetSharedName(&op);
      if (IsHashTableOp(&op) && other_shared_name == shared_name) {
        return true;
      }
    }
  }
  return false;
}

	if err != nil {
		panic(err)
	}
	return req
}

func dummyRequestWithBodyNoGetBody(method string) *Request {
	req := dummyRequestWithBody(method)
	req.GetBody = nil
	return req
}

// issue22091Error acts like a golang.org/x/net/http2.ErrNoCachedConn.
type issue22091Error struct{}

func (issue22091Error) IsHTTP2NoCachedConnError() {}

  subgraphs_metadata.reserve(funcs.size());
  for (auto& func : funcs) {
    subgraphs_metadata.push_back(
        CreateSubgraphMetadata(hardware_map, &func.getBody(), &fb_builder));
  }
  auto runtime_metadata =
      CreateRuntimeMetadata(fb_builder, hardware_metadata_offset,
                            fb_builder.CreateVector(subgraphs_metadata));

      builder.create<tf_device::ClusterOp>(loc, return_types, policy);

  // Create block in cluster_op's region and move 'cluster.operations' into
  // it.
  auto block = builder.createBlock(&cluster_op.getBody());
  auto block_end = block->end();
  for (auto op : cluster.operations) op->moveBefore(block, block_end);

  // Add 'tf_device::ReturnOp' at the end of the block.
  builder.setInsertionPointToEnd(block);

    return it->second;
  }

  // Returns backtracking analysis for the given function.
  const InfoT& GetAnalysisForFunc(func::FuncOp func) const {
    return GetAnalysisForRegion(func.getBody());
  }

  // Backtracks the given value.
  Value BacktrackValue(Value value);

 private:
  // Returns the analysis for the given region (analyzing the region if it has
  // not yet been analyzed).

      arg.setType(new_arg_type);
    }

    // Update the function type.
    func.setType(mlir::FunctionType::get(module.getContext(),
                                         func.getBody().getArgumentTypes(),
                                         func.getFunctionType().getResults()));
  }
  return success();
}

}  // namespace tf_saved_model