Cmake dynamic parallel compilation, works on V100 but errors on RTX2060

Hi, I just using following CMakeLists which can compile well done on a V100 GPU, however, it failed on a RTX2060 GPU,
cmake_minimum_required(VERSION 3.12)
project(DoseCalculation CXX CUDA)
find_package(CUDA 9.0 REQUIRED)
find_package(OpenMP)
set(PYBIND11_CPP_STANDARD -std=c++11)
add_subdirectory(pybind11)

#set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} “-arch=compute_75 -code=sm_75 -rdc=true”)
#set(CUDA_VERBOSE_BUILD ON)
if(OpenMP_FOUND)
message(STATUS “OpenMP includes: ${OPENMP_INCLUDES}”)
message(STATUS “OpenMP libraries: ${OpenMP_CXX_LIBRARIES}”)
#SET(CMAKE_C_FLAGS “${CMAKE_C_FLAGS} ${OpenMP_C_FLAGS}”)
#SET(CMAKE_CXX_FLAGS “${CMAKE_CXX_FLAGS} ${OpenMP_CXX_FLAGS}”)
set(CMAKE_CUDA_FLAGS “${CMAKE_CUDA_FLAGS} -Xcompiler=${OpenMP_CXX_FLAGS}”)
set(CMAKE_EXE_LINKER_FLAGS “${CMAKE_EXE_LINKER_FLAGS} ${OpenMP_CXX_FLAGS}”)
#set(CMAKE_NVCC_FLAGS “${CMAKE_CXX_FLAGS} ${OpenMP_CXX_FLAGS}”)
endif()
add_library(gpu_library STATIC gpu_library.cu)
target_include_directories(gpu_library PUBLIC ${CUDA_INCLUDE_DIRS} /usr/local/cuda/samples/common/inc ${PROJECT_SOURCE_DIR})
set_target_properties(gpu_library PROPERTIES
POSITION_INDEPENDENT_CODE ON

CUDA_RESOLVE_DEVICE_SYMBOLS ON

    CUDA_VERBOSE_BUILD ON
    CUDA_VISIBILITY_PRESET "hidden"
    CUDA_ARCHITECTURES "70"
    CUDA_SEPARABLE_COMPILATION ON
    )

add_library(DoseCalculation MODULE
gpu_library.cpp
)

set_target_properties(DoseCalculation PROPERTIES
CXX_VISIBILITY_PRESET “hidden”
INTERPROCEDURAL_OPTIMIZATION TRUE
PREFIX “${PYTHON_MODULE_PREFIX}”
SUFFIX “${PYTHON_MODULE_EXTENSION}”
)

target_link_libraries(DoseCalculation PRIVATE gpu_library)
target_link_libraries(DoseCalculation PRIVATE pybind11::module)
target_link_libraries(DoseCalculation PUBLIC OpenMP::OpenMP_CXX)
target_include_directories(DoseCalculation PUBLIC ${PROJECT_SOURCE_DIR})

here is the errors,

error: calling a global function(“kernelCalDose”) from a global function(“kernelCalDoseByBeam”) is only allowed on the compute_35 architecture or above

and I have used the CUDA_ARCHITECTURES “75” on rtx2060, any one can help me, thx a lot!