operations.back().hasTrait<OpTrait::IsTerminator>())) {
        to_remove.push_back(init_func_op);
      } else {
        to_keep.push_back(sym_ref);
      }
    }

    for (auto func_op : to_remove) rewriter.eraseOp(func_op);

    if (to_keep.empty())
      rewriter.eraseOp(op);
    else
      op->setAttr("initializers", rewriter.getArrayAttr(to_keep));

    return success();
  }
};

				// 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

				// 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_ASSERT_OK_AND_ASSIGN(TupleOp root_tuple,
                          ImportXlaComputationIntoModule(computation));
  EXPECT_TRUE(root_tuple);

  int num_func_ops = 0;
  module_->walk([&num_func_ops](func::FuncOp func_op) { num_func_ops++; });

  // Ensure that only a single computation was imported.
  EXPECT_EQ(num_func_ops, 1);
}

TEST_F(Tf2XlaRewriterTest, InsertsConstantParameters) {

  std::vector<Type> output_types = GetValueTypes(outputs);
  builder.setInsertionPointToEnd(&module.getBodyRegion().back());
  func::FuncOp func_op = builder.create<func::FuncOp>(
      module.getLoc(), name,
      builder.getFunctionType(input_types, output_types));
  func_op.setPrivate();

  return func_op;
}

TF::StatefulPartitionedCallOp EncapsulateOpsInFunc(
    OpBuilder& builder, const llvm::SetVector<Operation*>& ops,

module attributes {tf_saved_model.semantics} {

// Test not hoisting in TPU functions.

// CHECK-LABEL: func @_tfrt_resource_init
// CHECK-NEXT: return

// CHECK-LABEL: func private @func2
func.func private @func2(%arg: tensor<i1>) -> tensor<i32> {
  // CHECK-NOT: tf._TfrtGetResource

    // results and arguments.
    llvm::DenseMap<OpValue, int> operand_states_;
    llvm::DenseMap<OpValue, int> result_states_;
  };

  func::FuncOp func_;

  DeviceTarget target_spec_;

  StatesManager states_manager_;
};

}  // namespace quant
}  // namespace mlir

#define FUNC1(a, b, c, d, e) \
	MOVL	d, R9; \
	XORL	c, R9; \
	ANDL	b, R9; \
	XORL	d, R9

#define FUNC2(a, b, c, d, e) \
	MOVL	b, R9; \
	XORL	c, R9; \
	XORL	d, R9

#define FUNC3(a, b, c, d, e) \
	MOVL	b, R8; \
	ORL	c, R8; \
	ANDL	d, R8; \
	MOVL	b, R9; \
	ANDL	c, R9; \
	ORL	R8, R9

#define FUNC4 FUNC2

#define MIX(a, b, c, d, e, const) \
	ROLL	$30, b; \
	ADDL	R9, e; \
	MOVL	a, R8; \

					{"internal/poll.(*FD).Accept", 0},
					{"net.(*netFD).accept", 0},
					{"net.(*TCPListener).accept", 0},
					{"net.(*TCPListener).Accept", 0},
					{"main.main.func10", 0},
				}},
				{trace.EventStateTransition, "Goroutine Running->Syscall", []frame{
					{"syscall.read", 0},
					{"syscall.Read", 0},
					{"internal/poll.ignoringEINTRIO", 0},