cuDNN Environment : FAILED (Error generated while determining cuDNN library version 'getcuDNNVersion.cpp ?

>>coder.checkGpuInstall('cudnn')

Compatible GPU : PASSED

CUDA Environment : PASSED

Runtime : PASSED

cuFFT : PASSED

cuSOLVER : PASSED

cuBLAS : PASSED

cuDNN Environment : FAILED (Error generated while determining cuDNN library version 'getcuDNNVersion.cpp

C:\Users\Administrator\AppData\Local\Temp\tpc93b1cf4_f232_4489_8bc5_40a4e514e259\getcuDNNVersion.cpp: fatal error C1001: 编译器中发生内部错误。

(编译器文件“f:\dd\vctools\compiler\cxxfe\sl\p1\c\p0io.c”，第 2739 行)

要解决此问题，请尝试简化或更改上面所列位置附近的程序。

请选择 Visual C++

“帮助”菜单上的“技术支持”命令，或打开技术支持帮助文件来获得详细信息。

')

ans =

struct with fields:

gpu: 1

cuda: 1

cudnn: 0

tensorrt: 0

basiccodegen: 0

basiccodeexec: 0

deepcodegen: 0

deepcodeexec: 0

tensorrtdatatype: 0

profiling: 0

>> gpuDevice

ans =

CUDADevice with properties:

Name: 'GeForce GTX 1060 3GB'

Index: 1

ComputeCapability: '6.1'

SupportsDouble: 1

DriverVersion: 10.2000

ToolkitVersion: 10.1000

MaxThreadsPerBlock: 1024

MaxShmemPerBlock: 49152

MaxThreadBlockSize: [1024 1024 64]

MaxGridSize: [2.1475e+09 65535 65535]

SIMDWidth: 32

TotalMemory: 3.2212e+09

AvailableMemory: 2.3279e+09

MultiprocessorCount: 9

ClockRateKHz: 1708500

ComputeMode: 'Default'

GPUOverlapsTransfers: 1

KernelExecutionTimeout: 1

CanMapHostMemory: 1

DeviceSupported: 1

DeviceSelected: 1

>> getenv('NVIDIA_CUDNN')

ans =

'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1'

how to solve this issue?