my env:
- win10 x64
- matlab2020a
- cuda version:11.0
nvcc –version
nvcc: NVIDIA (R) Cuda compiler driverCopyright (c) 2005-2020 NVIDIA CorporationBuilt on Wed_May__6_19:10:02_Pacific_Daylight_Time_2020Cuda compilation tools, release 11.0, V11.0.167Build cuda_11.0_bu.relgpu_drvr445TC445_37.28358933_0
- cudnn version:8.0.0
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0\include\cudnn_version.h
#define CUDNN_MAJOR 8#define CUDNN_MINOR 0#define CUDNN_PATCHLEVEL 0#define CUDNN_VERSION (CUDNN_MAJOR * 1000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL)#endif /* CUDNN_VERSION_H */
repruduce error:
When I use the "dlquantizer" function, the following unexpected error occurs. Why?
dlquantizer(resnet50);
Unable to resolve the name dltargets.cudnn.SupportedLayerImpl.m_sourceFiles.
Error in coder.internal.getSupportedLayerTypes
Error in dlquantization.internal.utils.datavalidators.NetworkValidator/checkUnsupportedLayers
Error in dlquantization.internal.utils.datavalidators.NetworkValidator/validate
Error in dlquantizer (line 95)
netValidator.validate();
check my env:
coder.checkGpuInstall('full')
Compatible GPU : PASSED
CUDA Environment : PASSED
Runtime : PASSED
cuFFT : PASSED
cuSOLVER : PASSED
cuBLAS : PASSED
cuDNN Environment : PASSED (Warning: Deep learning code generation has been tested with cuDNN v7.5. The provided cuDNN library v8.0 may not be fully compatible.)
TensorRT Environment : FAILED (Unable to find the 'NVIDIA_TENSORRT' environment variable. Set 'NVIDIA_TENSORRT' to point to the root directory of a TensorRT installation.)
Profiling Environment : PASSED
Basic Code Generation : FAILED (Test GPU code generation failed with the error 'emlc:compilationError'. View report for further information: View report)
ans =
struct with fields:
gpu: 1
cuda: 1
cudnn: 1
tensorrt: 0
basiccodegen: 0
basiccodeexec: 0
deepcodegen: 0
deepcodeexec: 0
tensorrtdatatype: 0
profiling: 1
Then I open the above wrong report:
Do I have to install the old version of cuda10?
Best Answer