// and copy all variables
				new := make([]*Var, len(in))
				copy(new, out)
				out = new
				copied = true
			}
			out[i] = w
		}
	}
	return
}

func (subst *subster) func_(f *Func) *Func {
	if f != nil {
		if typ := subst.typ(f.typ); typ != f.typ {
			return substFunc(f, typ)
		}
	}
	return f
}

func substFunc(f *Func, typ Type) *Func {
	copy := *f

          TF::kClusterOutlinedFunctionNameAttr)) {
    op->removeAttr(TF::kClusterOutlinedFunctionNameAttr);
    func_name = outlined_func_name.str();
  } else {
    func_name = "_func";
  }

  func::FuncOp outlined_func =
      func::FuncOp::create(op.getLoc(), func_name, func_type);

  // This function is not externally visible and marking it private would allow

      TypesFromValues(subgraph.FuncOutputs());

  FunctionType function_type =
      builder.getFunctionType(input_types, return_types);

  std::string function_name = absl::StrCat("func_", subgraph.subgraph_id_);

  func::FuncOp new_func = func::FuncOp::create(builder.getUnknownLoc(),
                                               function_name, function_type);

			}
			p.advance(_Import, _Const, _Type, _Var, _Func)
			continue
		}

		// Reset p.pragma BEFORE advancing to the next token (consuming ';')
		// since comments before may set pragmas for the next function decl.
		p.clearPragma()

		if p.tok != _EOF && !p.got(_Semi) {
			p.syntaxError("after top level declaration")
			p.advance(_Import, _Const, _Type, _Var, _Func)
		}
	}
	// p.tok == _EOF

	// that index's table. e.g.,
	// &moduledata.pctab[_func.pcdata[_PCDATA_UnsafePoint]] is the start of
	// the unsafe point table.
	//
	// An offset of 0 indicates that there is no table.
	//
	// pcdata [npcdata]uint32

	// funcdata contains the offset past moduledata.gofunc which contains a
	// pointer to that index's funcdata. e.g.,
	// *(moduledata.gofunc +  _func.funcdata[_FUNCDATA_ArgsPointerMaps]) is

    will be transformed into:

    ```mlir
    func @computation(%arg0: tensor<i32>) -> tensor<i32> {
      %cluster = "tf_device.cluster_func"(%arg0) {func = @_func} : (tensor<i32>) -> tensor<i32>
      return %cluster : tensor<i32>
    }

    func @_func(%arg0: tensor<i32>) -> tensor<i32> {
      %identity = "tf.Identity"(%arg0) : (tensor<i32>) -> tensor<i32>
      return %identity : tensor<i32>
    }
    ```
  }];

  func::FuncOp& added_func_op = ops_added.func_op;
  func::CallOp& added_call_op = ops_added.call_op;
  StringAttr interface_name =
      builder.getStringAttr(absl::StrCat("func_", func_count));

  added_func_op->setAttr(kInterfaceNameAttr, interface_name);
  added_call_op->setAttr(kInterfaceNameAttr, interface_name);

  StringAttr device = mlir::cast<StringAttr>(

  auto insertion_point = builder.saveInsertionPoint();
  func::FuncOp new_func = CreateFnWithSignature(module, inputs, outputs,
                                                absl::StrCat("_func_", name));

  // This preserves the order of the ops that was in the original parent
  // funtion. This is critical for preserving correctness in the presence of
  // resource variables and stateful functions.

    const auto& cluster_ops = cluster_metadata_and_ops.getSecond();

    auto cluster_metadata =
        metadata_map.find(cluster_metadata_and_ops.getFirst());

    // llvm::errs() << __func__ << "\n";
    //  No TPUReplicateMetadata for a `_replication_info` attribute.
    if (cluster_metadata == metadata_map.end()) {
      block->getParentOp()->emitWarning()
          << "TPUReplicateMetadata for associated '"