在Ubuntu中安裝Tensorflow時出錯

Question

我正在安裝Tensorflow服務，為此我必須在ubuntu中安裝tensorflow。 我在tf根目錄中運行了./configure命令。 這是輸出：

Please specify the location of python. [Default is /usr/bin/python]: 
Please specify optimization flags to use during compilation [Default is -march=native]:        
Do you wish to use jemalloc as the malloc implementation? [Y/n] y
jemalloc enabled
Do you wish to build TensorFlow with Google Cloud Platform support? [y/N] y
Google Cloud Platform support will be enabled for TensorFlow
Do you wish to build TensorFlow with Hadoop File System support? [y/N] y
Hadoop File System support will be enabled for TensorFlow
Do you wish to build TensorFlow with the XLA just-in-time compiler (experimental)? [y/N] y
XLA JIT 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]

Using python library path: /usr/local/lib/python2.7/dist-packages
Do you wish to build TensorFlow with OpenCL support? [y/N] y
OpenCL support will be enabled for TensorFlow
Do you wish to build TensorFlow with CUDA support? [y/N] y
CUDA 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]: 
Please specify the location where CUDA  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]: 
Please specify the location where cuDNN  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"]: 
Please specify which C++ compiler should be used as the host C++ compiler. [Default is ]: 
Invalid C++ compiler path.  cannot be found
Please specify which C++ compiler should be used as the host C++ compiler. [Default is ]: /usr/bin/g++
Please specify which C compiler should be used as the host C compiler. [Default is ]: /usr/bin/gcc
Please specify the location where ComputeCpp for SYCL 1.2 is installed. [Default is /usr/local/computecpp]: 
.................................................................
INFO: Starting clean (this may take a while). Consider using --expunge_async if the clean takes more than several minutes.
.........
ERROR: package contains errors: tensorflow/stream_executor.
ERROR: error loading package 'tensorflow/stream_executor': Encountered error while reading extension file 'cuda/build_defs.bzl': no such package '@local_config_cuda//cuda': Traceback (most recent call last):
    File "/home/cortana/Libraries/serving/tensorflow/third_party/gpus/cuda_configure.bzl", line 813
        _create_cuda_repository(repository_ctx)
    File "/home/cortana/Libraries/serving/tensorflow/third_party/gpus/cuda_configure.bzl", line 727, in _create_cuda_repository
        _get_cuda_config(repository_ctx)
    File "/home/cortana/Libraries/serving/tensorflow/third_party/gpus/cuda_configure.bzl", line 584, in _get_cuda_config
        _cudnn_version(repository_ctx, cudnn_install_base..., ...)
    File "/home/cortana/Libraries/serving/tensorflow/third_party/gpus/cuda_configure.bzl", line 295, in _cudnn_version
        _find_cuda_define(repository_ctx, cudnn_install_base..., ...)
    File "/home/cortana/Libraries/serving/tensorflow/third_party/gpus/cuda_configure.bzl", line 270, in _find_cuda_define
        auto_configure_fail("Cannot find cudnn.h at %s" % st...))
    File "/home/cortana/Libraries/serving/tensorflow/third_party/gpus/cuda_configure.bzl", line 93, in auto_configure_fail
        fail("
%sAuto-Configuration Error:%s ...))

Auto-Configuration Error: Cannot find cudnn.h at /usr/lib/x86_64-linux-gnu/include/cudnn.h
.

沒有名為/usr/lib/x86_64-linux-gnu/include文件夾。 我有libcudnn.so在文件/usr/lib/x86_64-linux-gnu/和cudnn.h文件夾中的/usr/include 。 我不知道配置文件是如何生成路徑的，但是它找不到cudnn，盡管我已經成功安裝了caffe，其CMakeLists.txt可以輕松找到cuda和cudnn安裝的路徑。 我該如何解決這個問題？

Answer 1

假設您確實安裝了cudnn 。
使用-查找您的cuda的安裝位置-
which nvcc

就我而言，它返回- /usr/local/cuda-6.5/bin/nvcc - /usr/local/cuda-6.5/bin/nvcc

因此cudnn.h位於/usr/local/cuda-6.5/include （ 如果已安裝cudnn）

在配置tensorflow時，詢問您-
Please specify the location where cuDNN library is installed. Refer to README.md for more details. [Default is /usr/local/cuda]:

在這里，您必須明確指定cudnn的位置。
就我而言，它是/usr/local/cuda-6.5/include/ 。