多个版本的 Tensorflow 导致问题

Question

长话短说：我使用一个 Amazon EC2 实例并尝试使用这个名为 Ampligraph 的包，它在内部使用 TensorFlow(TF)。我使用这个 installation guide 通过 PIP 安装了它。我运行这些下面的脚本将模型加载到系统。

from ampligraph.utils import restore_model
model = restore_model(model_name_path = model_path)

它给我 `AttributeError: module 'tensorflow' has no attribute 'random'

我关注了多个 Whosebug post，例如，我知道我的 TF 版本有问题。

当我运行下面的命令检查TF版本

python3 -c 'import tensorflow as tf; print(tf.__version__)'

这是我得到的：

I tensorflow/stream_executor/dso_loader.cc:126] Couldn't open CUDA library libcudnn.so.5. LD_LIBRARY_PATH: /usr/local/cuda/lib64:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64
I tensorflow/stream_executor/cuda/cuda_dnn.cc:3517] Unable to load cuDNN DSO
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcufft.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcurand.so.8.0 locally
/home/ubuntu/.local/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:455: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/ubuntu/.local/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:456: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/ubuntu/.local/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:457: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/ubuntu/.local/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:458: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/ubuntu/.local/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:459: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
1.0.1

所以，我了解到TF的版本是1.0.1（最后一行）。

同样，我通过pip安装了TF：

sudo pip3 install tensorflow==1.13.1

安装成功。但是，当我运行命令检查 TF 版本时，它显示与上面相同的消息，版本仍然是 1.0.1

我做错了什么？

抱歉久了post 谢谢！

Answer 1

首先，检查 pip3 是否匹配别名为 python3 的解释器：运行

$ pip3 --version

并检查解释器版本是 3.5。示例输出：

pip 19.3.1 from /usr/lib64/python3.5/site-packages/pip <b>(python 3.5)</b>

如果版本不匹配，则说明您安装了 Python 的多个版本，并且 pip3 为另一个 Python 版本安装了软件包。确定 Python 3.5 的 pip 别名的命令（例如 pip3.5 或 python3.5 -m pip）并使用正确的命令为 Python 3.5 重新安装 tensorflow .

其次，您可以为同一个解释器同时安装两个版本的 tensorflow - 全局版本（通过 sudo pip3 install tensorflow 安装）和用户专用版本（通过 [=23= 安装） ], 注意没有使用 sudo)。要检查这一点，运行:

$ pip3 list --user

并检查是否列出了 tensorflow。如果是，要么卸载用户专用的：

$ pip3 uninstall tensorflow --user

或升级并卸载全局的：

$ pip3 install tensorflow --upgrade --user
$ sudo pip3 uninstall tensorflow -y

多个版本的 Tensorflow 导致问题

Multiple versions of Tensorflow causing issues

python

pip

python-3.x

tensorflow

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