My operation system: Win10
My python version: 2.7
My VS version: 2015
My CUDA version: CUDA10.0.
To be compatible with other deep learning framework such as Tensorflow, Pytorch and MXNET. I install with CUDA10.0.
But when I build, it reports the error:
caffeproto.vcxproj -> D:\caffe\scripts\build\lib\Release\caffeproto.lib
Building NVCC (Device) object src/caffe/CMakeFiles/cuda_compile_1.dir/layers/Release/cuda_compile_1_generatedabsval
layer.cu.obj
nvcc fatal : Unsupported gpu architecture 'compute_481'
CMake Error at cuda_compile_1_generated_absval_layer.cu.obj.Release.cmake:219 (message):
Error generating
D:/caffe/scripts/build/src/caffe/CMakeFiles/cuda_compile_1.dir/layers/Release/cuda_compile_1_generated_absval_layer
.cu.obj
Is there possibility to install with CUDA 10.0 or should I roll back the version to CUDA 8.0 to support Caffe?
Hello,
My operation system: Win10 My python version: 2.7 My VS version: 2015 My CUDA version: CUDA10.0.
To be compatible with other deep learning framework such as Tensorflow, Pytorch and MXNET. I install with CUDA10.0.
Is there possibility to install with CUDA 10.0 or should I roll back the version to CUDA 8.0 to support Caffe?
How can I resolve this error?
Regards!