CUDA Error: no kernel image is available for execution on the device: No error 错误如何处理?

CUDA Error: no kernel image is available for execution on the device: No error

使用 C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.0extrasdemo_suite 目录下 deviceQuery.exe 工具查询显卡设备相关信息

deviceQuery.exe Starting...

 CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: "GeForce GTX 1660 Ti"
  CUDA Driver Version / Runtime Version          11.0 / 11.0
  CUDA Capability Major/Minor version number:    7.5
  Total amount of global memory:                 6144 MBytes (6442450944 bytes)
  (24) Multiprocessors, ( 64) CUDA Cores/MP:     1536 CUDA Cores
  GPU Max Clock rate:                            1770 MHz (1.77 GHz)
  Memory Clock rate:                             6001 Mhz
  Memory Bus Width:                              192-bit
  L2 Cache Size:                                 1572864 bytes
  Maximum Texture Dimension Size (x,y,z)         1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
  Maximum Layered 1D Texture Size, (num) layers  1D=(32768), 2048 layers
  Maximum Layered 2D Texture Size, (num) layers  2D=(32768, 32768), 2048 layers
  Total amount of constant memory:               zu bytes
  Total amount of shared memory per block:       zu bytes
  Total number of registers available per block: 65536
  Warp size:                                     32
  Maximum number of threads per multiprocessor:  1024
  Maximum number of threads per block:           1024
  Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
  Max dimension size of a grid size    (x,y,z): (2147483647, 65535, 65535)
  Maximum memory pitch:                          zu bytes
  Texture alignment:                             zu bytes
  Concurrent copy and kernel execution:          Yes with 6 copy engine(s)
  Run time limit on kernels:                     Yes
  Integrated GPU sharing Host Memory:            No
  Support host page-locked memory mapping:       Yes
  Alignment requirement for Surfaces:            Yes
  Device has ECC support:                        Disabled
  CUDA Device Driver Mode (TCC or WDDM):         WDDM (Windows Display Driver Model)
  Device supports Unified Addressing (UVA):      Yes
  Device supports Compute Preemption:            Yes
  Supports Cooperative Kernel Launch:            Yes
  Supports MultiDevice Co-op Kernel Launch:      No
  Device PCI Domain ID / Bus ID / location ID:   0 / 1 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 11.0, CUDA Runtime Version = 11.0, NumDevs = 1, Device0 = GeForce GTX 1660 Ti
Result = PASS

比如我这个显卡 CUDA Capability Major/Minor version number: 7.5 是 7.5 ，而我把 CUDA C/C++/Device/Code Generation 设置的 compute_80,sm_80 ，自然不匹配了，所以报错，设置 compute_75,sm_75 即可。

如果要查看设置的更多帮助信息 使用 nvcc --help

If you are using Visual Studio:

Right click on the project > Properies > Cuda C/C++ > Device

and add the following to Code Generation field

bcdedit /set testsigning on
bcdedit /set testsigning off