我正在尝试使用syntaxnet，我已经完成了大部分流程。如果出现错误，请将bazel版本升级到0.43（Ubuntu 16.04 Ver，Anaconda python 2.7）。 但是，我遇到了./configure部分的麻烦。我正在通过tensorflow github阅读官方指令。
git clone --recursive https://github.com/tensorflow/models.git
cd models/syntaxnet/tensorflow
**./configure**
cd ..
bazel test syntaxnet/... util/utf8/...
# On Mac, run the following:
bazel test --linkopt=-headerpad_max_install_names \
syntaxnet/... util/utf8/...
以下日志将帮助您了解我的计算机上发生了什么。感谢您的建议
Please specify the location of python. [Default is /home/ryan/anaconda2/bin/python]:
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] n
No Hadoop File System support will be enabled for TensorFlow
Found possible Python library paths:
/home/ryan
/home/ryan/pynaoqi-python2.7
/home/ryan/anaconda2/lib/python2.7/site-packages
Please input the desired Python library path to use. Default is [/home/ryan]
/home/ryan/anaconda2/lib/python2.7/site-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]: 5.0
Please specify the location where cuDNN 5.0 library is installed. Refer to README.md for more details. [Default is /usr/local/cuda]:
Invalid path to cuDNN toolkit. Neither of the following two files can be found:
/usr/local/cuda-8.0/lib64/libcudnn.so.5.0
/usr/local/cuda-8.0/libcudnn.so.5.0
.5.0
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]:
libcudnn.so resolves to libcudnn.5
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"]:
INFO: Options provided by the client:
Inherited 'common' options: --isatty=1 --terminal_columns=120
INFO: Reading options for 'clean' from /home/ryan/git_ryan/models/syntaxnet/tensorflow/tools/bazel.rc:
Inherited 'build' options: --force_python=py2 --host_force_python=py2 --python2_path=/home/ryan/anaconda2/bin/python --define=use_fast_cpp_protos=true --define=allow_oversize_protos=true --define PYTHON_BIN_PATH=/home/ryan/anaconda2/bin/python --spawn_strategy=standalone --genrule_strategy=standalone
**INFO: Reading options for 'clean' from /etc/bazel.bazelrc:
Inherited 'build' options: --action_env=PATH --action_env=LD_LIBRARY_PATH --action_env=TMPDIR --test_env=PATH --test_env=LD_LIBRARY_PATH
Unrecognized option: --action_env=PATH
ERROR: /home/ryan/git_ryan/models/syntaxnet/tensorflow/tensorflow/tensorflow.bzl:568:26: Traceback (most recent call last):
File "/home/ryan/git_ryan/models/syntaxnet/tensorflow/tensorflow/tensorflow.bzl", line 562
rule(attrs = {"srcs": attr.label_list..."), <3 more arguments>)}, <2 more arguments>)
File "/home/ryan/git_ryan/models/syntaxnet/tensorflow/tensorflow/tensorflow.bzl", line 568, in rule
attr.label_list(cfg = "data", allow_files = True)
expected ConfigurationTransition or NoneType for 'cfg' while calling label_list but got string instead: data.
ERROR: com.google.devtools.build.lib.packages.BuildFileContainsErrorsException: error loading package '': Extension file 'tensorflow/tensorflow.bzl' has errors.
Configuration finished**
答案 0 :(得分：0)
我认为你的bazel版本对于Syntaxnet来说太高了。你可以试试bazel-0.3.1。