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我在GTX-1080和Ubuntu 16.04LTS上使用基於gpu的服務器。使用正常tensorflow安裝，我得到下面的警告，同時運行應用程序 -構建失敗 - 在gpu服務器中的Tensorflow - 錯誤 - 找不到@ local_config_cuda // crosstool
2017-08-01 14:49:57.232126: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2017-08-01 14:49:57.232157: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2017-08-01 14:49:57.232162: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2017-08-01 14:49:57.232165: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2017-08-01 14:49:57.232169: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
當試圖建立最新的代碼版本 - V1.3.0 - rc1-531-gcd4c17e，本地構建失敗，下面給出錯誤信息
[email protected]:~/Workouts/tensorflow$ bazel build --config=opt --config=cuda --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0" ./tensorflow/tools/pip_package:build_pip_package
.......
ERROR: no such package '@local_config_cuda//crosstool': Traceback (most recent call last):
File "/home/user/Workouts/tensorflow/third_party/gpus/cuda_configure.bzl", line 1039
_create_local_cuda_repository(repository_ctx)
File "/home/user/Workouts/tensorflow/third_party/gpus/cuda_configure.bzl", line 976, in _create_local_cuda_repository
_host_compiler_includes(repository_ctx, cc)
File "/home/user/Workouts/tensorflow/third_party/gpus/cuda_configure.bzl", line 145, in _host_compiler_includes
get_cxx_inc_directories(repository_ctx, cc)
File "/home/user/Workouts/tensorflow/third_party/gpus/cuda_configure.bzl", line 120, in get_cxx_inc_directories
set(includes_cpp)
depsets cannot contain mutable items
INFO: Elapsed time: 5.488s
FAILED: Build did NOT complete successfully (3 packages loaded)
下面給出的是對平臺和配置的一些額外的細節
[email protected]:~/Workouts/tensorflow$ python --version
Python 2.7.12
[email protected]:~/Workouts/tensorflow$ gcc --version
gcc (Ubuntu 5.4.0-6ubuntu1~16.04.4) 5.4.0 20160609
Copyright (C) 2015 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
[email protected]:~/Workouts/tensorflow$ bazel version
Build label: 0.5.3
Build target: bazel-out/local-fastbuild/bin/src/main/java/com/google/devtools/build/lib/bazel/BazelServer_deploy.jar
Build time: Fri Jul 28 08:34:59 2017 (15)
Build timestamp: 15
Build timestamp as int: 15
配置準備以下
[email protected]:~/Workouts/tensorflow$ ./configure
WARNING: Running Bazel server needs to be killed, because the startup options are different.
Please specify the location of python. [Default is /usr/bin/python]:
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
Do you wish to build TensorFlow with jemalloc as malloc support? [Y/n]:
jemalloc as malloc support will be enabled for TensorFlow.
Do you wish to build TensorFlow with Google Cloud Platform support? [y/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.
Do you wish to build TensorFlow with XLA JIT support? [y/N]:
No XLA JIT support will be enabled for TensorFlow.
Do you wish to build TensorFlow with VERBS support? [y/N]:
No VERBS support will be enabled for TensorFlow.
Do you wish to build TensorFlow with OpenCL support? [y/N]:
No 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 the CUDA SDK version you want to use, e.g. 7.0. [Leave empty to default to CUDA 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 default to cuDNN 6.0]:
Please specify the location where cuDNN 6 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: 6.1,6.1,6.1,6.1]6.1
Do you want to use clang as CUDA compiler? [y/N]:
nvcc will be used as CUDA compiler.
Please specify which gcc should be used by nvcc as the host compiler. [Default is /usr/bin/gcc]:
Do you wish to build TensorFlow with MPI support? [y/N]:
No MPI support will be enabled for TensorFlow.
Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -march=native]:
Add "--config=mkl" to your bazel command to build with MKL support.
Please note that MKL on MacOS or windows is still not supported.
If you would like to use a local MKL instead of downloading, please set the environment variable "TF_MKL_ROOT" every time before build.
Configuration finished
一些額外的細節給出 -
[email protected]:~/Workouts/tensorflow$ echo $CUDA_HOME
/usr/local/cuda-8.0
[email protected]:~/Workouts/tensorflow$ echo $LD_LIBRARY_PATH
/usr/local/cuda-8.0/lib64
我缺少的東西？