GPU code generation failed with the error 'emlc:compilationError'
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When using GPU Coder, I encountered issues with the following environment configuration:
- **GPU Version**: NVIDIA RTX A2000 (Compute Capability 8.6, Ampere Architecture).
- **MATLAB Version**: R2023b.
- **CUDA Toolkit Version**: 11.8.
- **Visual Studio Version**: 2022 (with "Desktop Development with C++" component installed).
When I test
gpuDevice
ans =
CUDADevice - 属性:
Name: 'NVIDIA RTX A2000'
Index: 1
ComputeCapability: '8.6'
SupportsDouble: 1
GraphicsDriverVersion: '572.83'
DriverModel: 'WDDM'
ToolkitVersion: 11.8000
MaxThreadsPerBlock: 1024
MaxShmemPerBlock: 49152 (49.15 KB)
MaxThreadBlockSize: [1024 1024 64]
MaxGridSize: [2.1475e+09 65535 65535]
SIMDWidth: 32
TotalMemory: 6435504128 (6.44 GB)
AvailableMemory: 5375778816 (5.38 GB)
CachePolicy: 'balanced'
MultiprocessorCount: 26
ClockRateKHz: 1200000
ComputeMode: 'Default'
GPUOverlapsTransfers: 1
KernelExecutionTimeout: 1
CanMapHostMemory: 1
DeviceSupported: 1
DeviceAvailable: 1
DeviceSelected: 1
If I test coder.checkGpuInstall
coder.checkGpuInstall:
Compatible GPU : PASSED
CUDA Environment : PASSED
Runtime : PASSED
cuFFT : PASSED
cuSOLVER : PASSED
cuBLAS : PASSED
cuDNN Environment : FAILED (Error generated while determining cuDNN library version 'Embedding metadata in the MEX file failed.
'.)
Host Compiler : PASSED
Basic Code Generation : FAILED (GPU code generation failed with the error 'emlc:compilationError'. View report for further information: View report)
ans =
包含以下字段的 struct:
gpu: 1
cuda: 1
cudnn: 0
tensorrt: 0
hostcompiler: 1
basiccodegen: 0
basiccodeexec: 0
deepcodegen: 0
deepcodeexec: 0
tensorrtdatatype: 0
profiling: 0
test mex -setup
mex -setup
MEX 配置为使用 'MinGW64 Compiler (C)' 以进行 C 语言编译。
要选择不同的 C 编译器,请从以下选项中选择一种命令:
MinGW64 Compiler (C) mex -setup:C:\Users\石海洋\AppData\Roaming\MathWorks\MATLAB\R2023b\mex_C_win64.xml C
Microsoft Visual C++ 2022 (C) mex -setup:'D:\Program Files\MathWorksR2023B\bin\win64\mexopts\msvc2022.xml' C
要选择不同的语言,请从以下选项中选择一种命令:
mex -setup C++
mex -setup FORTRAN
I looked throught the answers about 'emlc:compilationError' and "Invalid CUDA device", and see the answer in GPU coder :basic Code Generation failed - MATLAB Answers - MATLAB Central, its issue is caused by a MATLAB version that is too low. However, after reviewing the relevant settings, my MATLAB version should support CUDA 11.8 and VS2022. So, what could be the problem?
PS: I installed cuDNN 8.9 (cudnn-windows-x86_64-8.9.7.29_cuda11-archive) and set the system environment variable `NVIDIA_CUDNN` to: `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8`. Why does the cuDNN Environment still show as failed here?
1 个评论
Joss Knight
2025-3-22
It might be worth noting that cuDNN is installed separately from the CUDA toolkit and isn't installed in the same location, so it doesn't make sense to make NVIDIA_CUDNN point to the toolkit location.
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