Tensorflow 成功安装后cuda和cudnn不工作
我正在ubuntu 16.04上使用anaconda python 3.6。我有带quadro 4000图形卡的systme。我已经为运行tensorflow和keras安装了Tensorflow 成功安装后cuda和cudnn不工作,tensorflow,nvidia,Tensorflow,Nvidia,我正在ubuntu 16.04上使用anaconda python 3.6。我有带quadro 4000图形卡的systme。我已经为运行tensorflow和keras安装了cuda 9.0.176和cudnn 7.1.4。运行代码时,我遇到以下错误: 2019-07-09 14:20:49.199895: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties: name
cuda 9.0.176
和cudnn 7.1.4
。运行代码时,我遇到以下错误:
2019-07-09 14:20:49.199895: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties:
name: Quadro K4000 major: 3 minor: 0 memoryClockRate(GHz): 0.8105
pciBusID: 0000:05:00.0
totalMemory: 2.94GiB freeMemory: 2.46GiB
2019-07-09 14:20:49.199946: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1482] Ignoring visible gpu device (device: 0, name: Quadro K4000, pci bus id: 0000:05:00.0, compute capability: 3.0) with Cuda compute capability 3.0. The minimum required Cuda capability is 3.5.
2019-07-09 14:20:49.199969: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-07-09 14:20:49.199983: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0
2019-07-09 14:20:49.199995: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N
此时将显示,模拟将停止。如何解决这个问题根据您需要一个至少支持Cuda计算能力3.5的GPU。K4000不受支持
有关具有CUDA Compute Capability 3.0的GPU或不同版本的NVIDIA库,请参阅指南
所以,如果我必须删除cuda和cudnnOnly Tensorflow,则需要从源代码构建,并支持cuda计算能力3.0。来自谷歌的链接和指南: