【发布时间】：2023-03-04 16:09:01
【问题描述】：
我正在尝试安装支持 CUDA 的 Tensorflow。这是我的规格：
- NVIDIA GTX 1070
- CUDA 7.5
- Cudnn v5.0
我已经通过 pip 安装安装了 Tensorflow ——所以我想你的答案是从源代码安装，但我想确保没有快速修复。
错误是：
volcart@volcart-Precision-Tower-7910:~$ python
Python 2.7.10 (default, Oct 14 2015, 16:09:02)
[GCC 5.2.1 20151010] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcurand.so locally
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python2.7/dist-packages/tensorflow/__init__.py", line 23, in <module>
from tensorflow.python import *
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/__init__.py", line 98, in <module>
from tensorflow.python.platform import test
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/test.py", line 77, in <module>
import mock # pylint: disable=g-import-not-at-top,unused-import
File "/usr/local/lib/python2.7/dist-packages/mock/__init__.py", line 2, in <module>
import mock.mock as _mock
File "/usr/local/lib/python2.7/dist-packages/mock/mock.py", line 71, in <module>
_v = VersionInfo('mock').semantic_version()
File "/usr/local/lib/python2.7/dist-packages/pbr/version.py", line 460, in semantic_version
self._semantic = self._get_version_from_pkg_resources()
File "/usr/local/lib/python2.7/dist-packages/pbr/version.py", line 447, in _get_version_from_pkg_resources
result_string = packaging.get_version(self.package)
File "/usr/local/lib/python2.7/dist-packages/pbr/packaging.py", line 725, in get_version
raise Exception("Versioning for this project requires either an sdist"
Exception: Versioning for this project requires either an sdist tarball, or access to an upstream git repository. Are you sure that git is installed?
我正在从主目录运行 python 控制台，而不是在 Tensorflow 目录中。
GIT 和 CUDA 均已安装：
volcart@volcart-Precision-Tower-7910:~$ git --version
git version 2.5.0
volcart@volcart-Precision-Tower-7910:~$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2015 NVIDIA Corporation
Built on Tue_Aug_11_14:27:32_CDT_2015
Cuda compilation tools, release 7.5, V7.5.17
我通过此测试验证了 CUDA 功能正常（发现 here）：
/usr/local/cuda/bin/cuda-install-samples-7.5.sh ~/cuda-samples
cd ~/cuda-samples/NVIDIA*Samples
make -j $(($(nproc) + 1))
Tensorflow 安装成功：
export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.10.0rc0-cp27-none-linux_x86_64.whl
sudo -H pip install --upgrade $TF_BINARY_URL
我的 GPU 似乎没问题：
volcart@volcart-Precision-Tower-7910:~$ nvidia-smi
Thu Aug 4 17:31:47 2016
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 367.35 Driver Version: 367.35 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 1070 Off | 0000:03:00.0 On | N/A |
| 0% 41C P8 12W / 185W | 499MiB / 8104MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 900 G /usr/bin/X 272MiB |
| 0 1679 G compiz 154MiB |
| 0 2287 G ...s-passed-by-fd --v8-snapshot-passed-by-fd 69MiB |
+-----------------------------------------------------------------------------+
【问题讨论】：
-
也许可以试试
pip install --upgrade setuptools -
requirement already up to date -
听起来像是某种版本不匹配，也许尝试在新环境中安装 virtualenv？
-
@YaroslavBulatov 你这家伙！谢谢那个有效的人，我不知道为什么，但它有效。我已经为此工作太久了，哈哈。随意写一个答案，我会标记它是正确的
-
@YaroslavBulatov 我尝试更新 setuptools，但没有用。我正在使用 CentOS。我有最新的张量流，1.0.0-rc1。以前用过，现在搞砸了
标签： machine-learning neural-network tensorflow nvidia