1080Ti 检查失败:error == cudaSuccess (8 vs. 0) invalid device function
1080Ti Check failed: error == cudaSuccess (8 vs. 0) invalid device function
我在py-faster-Rcnn中得到了这句话
F0205 17:04:17.806836 4300 pooling_layer.cu:212] Check failed: error == cudaSuccess (8 vs. 0) invalid device function
*** Check failure stack trace: ***
显卡:Geforce 1080Ti
CUDA:7.5
Cudnn : v5
我的Makefile.config
CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \
-gencode arch=compute_20,code=sm_21 \
-gencode arch=compute_30,code=sm_30 \
-gencode arch=compute_35,code=sm_35 \
-gencode arch=compute_50,code=sm_50 \
-gencode arch=compute_52,code=sm_52 \
-gencode arch=compute_60,code=sm_60 \
-gencode arch=compute_61,code=sm_61 \
-gencode arch=compute_61,code=compute_61
我能做什么?
安装 CUDA 8.0 应该可以解决问题。
从this可以看出GeForce GTX 1080 Ti GPU属于Pascal GPU Micro架构,计算能力版本6.1,支持CUDA 8.0或更高版本。
CUDA SDK 8.0 support for compute capability 2.0 – 6.x (Fermi, Kepler, Maxwell, Pascal), last version with support for Compute Capability 2.x (Fermi)
CUDA SDK 7.5 support for compute capability 2.0 – 5.x (Fermi, Kepler,
Maxwell)
我在py-faster-Rcnn中得到了这句话
F0205 17:04:17.806836 4300 pooling_layer.cu:212] Check failed: error == cudaSuccess (8 vs. 0) invalid device function
*** Check failure stack trace: ***
显卡:Geforce 1080Ti
CUDA:7.5
Cudnn : v5
我的Makefile.config
CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \
-gencode arch=compute_20,code=sm_21 \
-gencode arch=compute_30,code=sm_30 \
-gencode arch=compute_35,code=sm_35 \
-gencode arch=compute_50,code=sm_50 \
-gencode arch=compute_52,code=sm_52 \
-gencode arch=compute_60,code=sm_60 \
-gencode arch=compute_61,code=sm_61 \
-gencode arch=compute_61,code=compute_61
我能做什么?
安装 CUDA 8.0 应该可以解决问题。
从this可以看出GeForce GTX 1080 Ti GPU属于Pascal GPU Micro架构,计算能力版本6.1,支持CUDA 8.0或更高版本。
CUDA SDK 8.0 support for compute capability 2.0 – 6.x (Fermi, Kepler, Maxwell, Pascal), last version with support for Compute Capability 2.x (Fermi)
CUDA SDK 7.5 support for compute capability 2.0 – 5.x (Fermi, Kepler, Maxwell)