Question

是否有人成功安装了TensorFlow以及以下组合？

Ubuntu 16.04（刚安装并升级）
Nvidia Driver：nvidia-370（sudo apt install nvidia-370）

Bazel 0.3.1（从官方软件包安装）：

chmod +x bazel-0.3.1-installer-linux-x86_64.sh
./bazel-0.3.1-installer-linux-x86_64.sh --user

gcc：5.4.0（默认为16.04）

CUDA 8.0.44（适用于GTX 1070，从没有驱动程序的官方.run文件安装）

export CUDA_HOME=/usr/local/cuda-8.0
export LD_LIBRARY_PATH="$CUDA_HOME/lib64:$LD_LIBRARY_PATH"
export PATH="$CUDA_HOME/bin:$PATH"

cuDNN 5.1.5（从官方软件包安装）
tensorflow master（从官方github克隆）
python 2和python 3（从ubuntu官方源安装）

然后运行tensorflow / configure：

./configure
Please specify the location of python. [Default is /usr/bin/python]: /usr/bin/python3
Do you wish to build TensorFlow with Google Cloud Platform support? [y/N] N
No Google Cloud Platform support will be enabled for TensorFlow
Do you wish to build TensorFlow with Hadoop File System support? [y/N] 
No Hadoop File System support will be enabled for TensorFlow
Found possible Python library paths:
  /usr/local/lib/python2.7/dist-packages
  /usr/lib/python2.7/dist-packages
Please input the desired Python library path to use.  Default is [/usr/local/lib/python2.7/dist-packages]
/usr/lib/python3/dist-packages
Do you wish to build TensorFlow with GPU support? [y/N] y
GPU support will be enabled for TensorFlow
Please specify which gcc should be used by nvcc as the host compiler. [Default is /usr/bin/gcc]: 
Please specify the Cuda SDK version you want to use, e.g. 7.0. [Leave empty to use system default]: 8.0
Please specify the location where CUDA 8.0 toolkit is installed. Refer to README.md for more details. [Default is /usr/local/cuda]: 
Please specify the Cudnn version you want to use. [Leave empty to use system default]: 5.1.5
Please specify the location where cuDNN 5.1.5 library is installed. Refer to README.md for more details. [Default is /usr/local/cuda]: 
Please specify a list of comma-separated Cuda compute capabilities you want to build with.
You can find the compute capability of your device at: https://developer.nvidia.com/cuda-gpus.
Please note that each additional compute capability significantly increases your build time and binary size.
[Default is: "3.5,5.2"]:

并运行建筑物：

bazel build -c opt --config=cuda

立即发生了一些错误：

ERROR: /home/devymex/.cache/bazel/_bazel_devymex/05af4cc48fb50d1cc8f7e879f4c1ce83/external/local_config_cuda/crosstool/BUILD:4:1: Traceback (most recent call last):
    File "/home/devymex/.cache/bazel/_bazel_devymex/05af4cc48fb50d1cc8f7e879f4c1ce83/external/local_config_cuda/crosstool/BUILD", line 4
        error_gpu_disabled()
    File "/home/devymex/.cache/bazel/_bazel_devymex/05af4cc48fb50d1cc8f7e879f4c1ce83/external/local_config_cuda/crosstool/error_gpu_disabled.bzl", line 3, in error_gpu_disabled
        fail("ERROR: Building with --config=c...")
ERROR: Building with --config=cuda but TensorFlow is not configured to build with GPU support. Please re-run ./configure and enter 'Y' at the prompt to build with GPU support.
...

我试过：

多次重新安装Ubuntu;
多次重新安装Bazel（来自3方来源）。
尝试不同的Bazel版本（0.3.1,0.3.0，frome官方套餐）
切换到较早的CUDA版本8.0.27（CUDA 7不支持GTX 1070）
尝试不同的cuda路径“/ usr / local / cuda”和“/usr/local/cuda-8.0”（所有这些都存在）
重新运行./configure并重新运行bazel build -c opt --config = cuda
在重新运行之前运行“bazel clean”./configure
重新下载官方tensorflow包或重新克隆官方tensorflow github repo
在./configure
python2和python3
我已尝试过可能与此错误相关的所有操作。

但错误始终发生且信息相同。

我尝试使用tensorflow r0.10包（从git hub下载），错误信息变为：

ERROR: no such package '@local_config_cuda//crosstool': BUILD file not found on package path.
ERROR: no such package '@local_config_cuda//crosstool': BUILD file not found on package path.

使用tensorflow r0.10，上面尝试的操作对这两个错误消息没有影响。

经过四天的失败，我很沮丧。有人可以帮助我吗？谢谢！

我也将此问题发布到github： https://github.com/tensorflow/tensorflow/issues/2559

无法使用Ubuntu 16.04和CUDA 8.0

0 个答案: