Compatible with CUDA 7.0?

[chunfuchen]

Hi, I use CUDA 7.0 and two NVIDIA GPUs TITAN X to run the examples. (I have changed the path to my environment.

python convnet.py --data-path /usr/local/storage/akrizhevsky/ilsvrc-2012-batches --train-range 0-417 --test-range 1000-1016 --save-path /usr/local/storage/akrizhevsky/tmp --epochs 90 --layer-def layers/layers-imagenet-1gpu.cfg --layer-params layers/layer-params-imagenet-1gpu.cfg --data-provider image --inner-size 224 --gpu 0 --mini 128 --test-freq 201 --color-noise 0.1

Nonetheless, I will get this error message.

src/nvmatrix.cu(394) : getLastCudaError() CUDA error : kSetupCurand: Kernel execution failed : (8) invalid device function.

Does current cuda-convnet2 support CUDA 7.0? or I need to downgrade my CUDA to 6.0? (I have tried but it seems that there are some issues in installing CUDA 6.0 on my server)

Thanks.

[chunfuchen]

Fixed. Change the GENCODE into sm52 in three Makefiles.