how to solve "hipErrorNoBinaryForGpu: Unable to find code object for all current devices!" in hip platform

Describe the bug "hipErrorNoBinaryForGpu: Unable to find code object for all current devices!" Abort(core dumped)

how to correctly execute code in MI100 with compile option gfx906 instead of gfx908?

To Reproduce

compile 2022-09 version sycl-hip refer to sycl-compile

Environment (please complete the following information):

OS: Ubuntu 20.04
Target device and vendor: AMD GPU MI 100
DPC++ version: clang-16
Dependencies version: HIP version :5.2

There is a simple test code.

vector_add.cpp

/***************************************************************************
 *
 *  Copyright (C) 2016 Codeplay Software Limited
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 *  For your convenience, a copy of the License has been included in this
 *  repository.
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *
 *  Codeplay's ComputeCpp SDK
 *
 *  simple-vector-add.cpp
 *
 *  Description:
 *    Example of a vector addition in SYCL.
 *
 **************************************************************************/

/* This example is a very small one designed to show how compact SYCL code
 * can be. That said, it includes no error checking and is rather terse. */
#include <CL/sycl.hpp>

#include <array>
#include <iostream>

constexpr sycl::access::mode sycl_read = sycl::access::mode::read;
constexpr sycl::access::mode sycl_write = sycl::access::mode::write;

/* This is the class used to name the kernel for the runtime.
 * This must be done when the kernel is expressed as a lambda. */
template <typename T>
class SimpleVadd;

template <typename T, size_t N>
void simple_vadd(const std::array<T, N>& VA, const std::array<T, N>& VB,
                 std::array<T, N>& VC) {
  sycl::queue deviceQueue;
  sycl::range<1> numOfItems{N};
  sycl::buffer<T, 1> bufferA(VA.data(), numOfItems);
  sycl::buffer<T, 1> bufferB(VB.data(), numOfItems);
  sycl::buffer<T, 1> bufferC(VC.data(), numOfItems);

  deviceQueue.submit([&](sycl::handler& cgh) {
    auto accessorA = bufferA.template get_access<sycl_read>(cgh);
    auto accessorB = bufferB.template get_access<sycl_read>(cgh);
    auto accessorC = bufferC.template get_access<sycl_write>(cgh);

    auto kern = [=](sycl::id<1> wiID) {
      accessorC[wiID] = accessorA[wiID] + accessorB[wiID];
    };
    cgh.parallel_for<class SimpleVadd<T>>(numOfItems, kern);
  });
}

int main() {
  const size_t array_size = 4;
  std::array<sycl::cl_int, array_size> A = {{1, 2, 3, 4}},
                                           B = {{1, 2, 3, 4}}, C;
  std::array<sycl::cl_float, array_size> D = {{1.f, 2.f, 3.f, 4.f}},
                                             E = {{1.f, 2.f, 3.f, 4.f}}, F;
  simple_vadd(A, B, C);
  simple_vadd(D, E, F);
  for (unsigned int i = 0; i < array_size; i++) {
    if (C[i] != A[i] + B[i]) {
      std::cout << "The results are incorrect (element " << i << " is " << C[i]
                << "!\n";
      return 1;
    }
    if (F[i] != D[i] + E[i]) {
      std::cout << "The results are incorrect (element " << i << " is " << F[i]
                << "!\n";
      return 1;
    }
  }
  std::cout << "The results are correct!\n";
  return 0;
}

CMakeLists.txt

cmake_minimum_required(VERSION 2.8.12)

set(DPCPP_HOME "/home/wzy/sycl_workspace")
set(DPCPP_SYCL_HOME "${DPCPP_HOME}/build-hip-2022-09-log-debug")

set(CMAKE_C_COMPILER "${DPCPP_SYCL_HOME}/bin/clang")
set(CMAKE_CXX_COMPILER "${DPCPP_SYCL_HOME}/bin/clang++")
set(CMAKE_CXX_STANDARD 17)

project(vector_add)

include_directories("${DPCPP_SYCL_HOME}/include/sycl")
include_directories("${DPCPP_SYCL_HOME}/include")

message(STATUS "dpcpp_home : ${DPCPP_HOME}")
message(STATUS "dpcpp_cuda_sycl_home : ${DPCPP_SYCL_HOME}")

message(STATUS "find library path : ${DPCPP_SYCL_HOME}/lib")
set(CMAKE_BUILD_RPATH "${DPCPP_SYCL_HOME}/lib;${CMAKE_BUILD_RPATH}")
message(STATUS "cmake build rpath : ${CMAKE_BUILD_RPATH}")

set(CMAKE_BUILD_TYPE "Debug")
set(CMAKE_CXX_FLAGS "-fsycl -fsycl-targets=amdgcn-amd-amdhsa -Xsycl-target-backend --offload-arch=gfx906")
set(CMAKE_CXX_FLAGS_DEBUG "$ENV{CXXFLAGS} -O0 -Wall -g -ggdb -std=c++17")
set(CMAKE_CXX_FLAGS_RELEASE "$ENV{CXXFLAGS} -O3 -Wall -std=c++17")

link_directories("${DPCPP_SYCL_HOME}/lib")

aux_source_directory(. DIR_SRCS)
add_executable(vector_add ${DIR_SRCS})
target_include_directories(vector_add PRIVATE "${DPCPP_SYCL_HOME}/include/sycl")
target_include_directories(vector_add PRIVATE "${DPCPP_SYCL_HOME}/include")
target_link_libraries(vector_add PRIVATE sycl )

Additional context Add any other context about the problem here.

intel / llvm

how to solve "hipErrorNoBinaryForGpu: Unable to find code object for all current devices!" in hip platform #8158