search

pbhogale / gpu-keras-rstudio

Dockerfile
MIT License
16 stars 5 forks source link

cuda version for specific Nvidia GPU card #5

Open alperyilmaz opened 6 years ago

alperyilmaz commented 6 years ago

I build the image which uses nvidia/cuda:9.0-cudnn7-runtime as base image and then I got the following error

2018-06-18 21:54:33.740332: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1356] Found device 0 with properties: 
name: GeForce GT 750M major: 3 minor: 0 memoryClockRate(GHz): 1.085
pciBusID: 0000:01:00.0
totalMemory: 3.94GiB freeMemory: 3.31GiB
2018-06-18 21:54:33.740368: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Ignoring visible gpu device (device: 0, name: GeForce GT 750M, pci bus id: 0000:01:00.0, compute capability: 3.0) with Cuda compute capability 3.0. The minimum required Cuda capability is 3.5.

Looks like Cuda 9.0 requires newer card. Is there a website or source which will indicate the highest Cuda version supporting Cuda compute capability 3.0 ?