MATLAB Answers

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

1 view (last 30 days)
cui
cui on 2 May 2020
>>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?

  0 Comments

Sign in to comment.

Answers (0)

Products


Release

R2020a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!