有没有人成功安装TensorFlow以下组合？

  • Ubuntu 16.04（刚刚安装并升级）

  • Nvidia驱动程序：nvidia-370（sudo apt install nvidia-370）

  • Bazel 0.3.1（从官方包装安装）：

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官方源码安装）

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

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：

  • 重新安装Ubuntu，很多次;

  • 重新安装Bazel（来自3方来源），也是很多次 .

  • 尝试不同的Bazel版本（0.3.1,0.3.0，frome官方套餐）

  • 切换到较旧的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"（所有这些路径都存在）

  • 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

  • 删除路径〜/ .config / bazel之前./configure

  • python2和python3

  • 我已经尝试了可能与此错误相关的所有可能操作 .

但错误总是发生并且具有相同的消息 .

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 .

四天失败后我很沮丧 . 有人可以帮助我吗？谢谢！

我也把这个问题发给了github：https://github.com/tensorflow/tensorflow/issues/2559

ubuntu tensorflow