【发布时间】：2019-01-03 21:47:58
【问题描述】：
pip3 安装 tensorflow-gpu --user
每当我运行上述命令时，我通常都会收到此消息；
Requirement already satisfied: tensorflow-gpu in ./.local/lib/python3.5/site-packages (1.9.0)
Requirement already satisfied: setuptools<=39.1.0 in ./.local/lib/python3.5/site-packages (from tensorflow-gpu) (39.1.0)
Requirement already satisfied: protobuf>=3.4.0 in ./.local/lib/python3.5/site-packages (from tensorflow-gpu) (3.6.0)
Requirement already satisfied: absl-py>=0.1.6 in ./.local/lib/python3.5/site-packages (from tensorflow-gpu) (0.3.0)
Requirement already satisfied: wheel>=0.26 in ./.local/lib/python3.5/site-packages (from tensorflow-gpu) (0.31.1)
Requirement already satisfied: numpy>=1.13.3 in ./.local/lib/python3.5/site-packages (from tensorflow-gpu) (1.15.0)
Requirement already satisfied: termcolor>=1.1.0 in ./.local/lib/python3.5/site-packages (from tensorflow-gpu) (1.1.0)
Requirement already satisfied: six>=1.10.0 in ./.local/lib/python3.5/site-packages (from tensorflow-gpu) (1.11.0)
Requirement already satisfied: gast>=0.2.0 in ./.local/lib/python3.5/site-packages (from tensorflow-gpu) (0.2.0)
Requirement already satisfied: tensorboard<1.10.0,>=1.9.0 in ./.local/lib/python3.5/site-packages (from tensorflow-gpu) (1.9.0)
Requirement already satisfied: grpcio>=1.8.6 in ./.local/lib/python3.5/site-packages (from tensorflow-gpu) (1.13.0)
Requirement already satisfied: astor>=0.6.0 in ./.local/lib/python3.5/site-packages (from tensorflow-gpu) (0.7.1)
Requirement already satisfied: werkzeug>=0.11.10 in ./.local/lib/python3.5/site-packages (from tensorboard<1.10.0,>=1.9.0->tensorflow-gpu) (0.14.1)
Requirement already satisfied: markdown>=2.6.8 in ./.local/lib/python3.5/site-packages (from tensorboard<1.10.0,>=1.9.0->tensorflow-gpu) (2.6.11)
当我转到 python3 并将 tensorflow 导入为 tf; 我收到以下错误：
ImportError: libcublas.so.9.0: 无法打开共享对象文件：没有这样的文件或目录
【问题讨论】：
-
您是否遵循完整的 tensorflow 安装说明？首先安装 CUDA/CUDNN 并确保使用 cuda 库的位置更新 LD_LIBRARY_PATH 环境变量。
-
是的，这是我的 cuda env 路径。导出 PATH=/usr/local/cuda-9.2/bin${PATH:+:${PATH}} 导出 LD_LIBRARY_PATH=/usr/local/cuda-9.2/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}跨度>
-
使用 cuda 9.0。预编译的 tensorflow 查找 9.0。如果要使用 9.2，请从源代码构建 tensorflow。还运行“env”命令以确保您有正确的路径组件，用“：”分隔
-
感谢您的评论：我已经回应了 ${LD_LIBRARY_PATH}，它给了我这个信息：/usr/local/cuda-9.2/lib64:/opt/intel/compilers_and_libraries_2018.3.222/linux/tbb /lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2018.3.222/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2018.3.222/linux/mkl/lib/intel64_lin
-
pip3 show tensorflow 名称：tensorflow 版本：1.9.0 总结：TensorFlow 是一个适合所有人的开源机器学习框架。主页：tensorflow.org 作者：Google Inc. 作者电子邮件：opensource@google.com 许可证：Apache 2.0 位置：/home/asad.ullah/.local/lib/python3.5/site-packages 要求：protobuf， gast, tensorboard, termcolor, grpcio, absl-py, setuptools, wheel, numpy, Six, astor 要求：
标签： python tensorflow keras gpu