查看当前tensorflow和tensorflow-estimator的版本

您可以使用以下命令查看当前tensorflow和tensorflow-estimator的版本：[^1]

import tensorflow as tf
print("TensorFlow version: ", tf.__version__)
print("TensorFlow-estimator version: ", tf.keras.__version__)

如果您想查看安装的所有Python包及其版本，可以使用以下命令：[^2]

!pip freeze

相关问题

命令行查看当前tensorflow和tensorflow-estimator的版本

可以通过以下命令查看当前tensorflow和tensorflow-estimator的版本：

pip show tensorflow tensorflow-estimator

输出示例：

Name: tensorflow
Version: 2.1.0
Summary: TensorFlow is an open source machine learning framework for everyone.
...
Name: tensorflow-estimator
Version: 2.1.0
Summary: TensorFlow Estimator.
...

jax 0.4.8 requires numpy>=1.21, but you have numpy 1.19.5 which is incompatible. matplotlib 3.7.1 requires numpy>=1.20, but you have numpy 1.19.5 which is incompatible. ml-dtypes 0.1.0 requires numpy>1.20, but you have numpy 1.19.5 which is incompatible. pandas 2.0.1 requires numpy>=1.20.3; python_version < "3.10", but you have numpy 1.19.5 which is incompatible. tensorflow-intel 2.12.0 requires absl-py>=1.0.0, but you have absl-py 0.15.0 which is incompatible. tensorflow-intel 2.12.0 requires flatbuffers>=2.0, but you have flatbuffers 1.12 which is incompatible. tensorflow-intel 2.12.0 requires numpy<1.24,>=1.22, but you have numpy 1.19.5 which is incompatible. tensorflow-intel 2.12.0 requires tensorboard<2.13,>=2.12, but you have tensorboard 2.11.2 which is incompatible. tensorflow-intel 2.12.0 requires tensorflow-estimator<2.13,>=2.12.0, but you have tensorflow-estimator 2.5.0 which is incompatible.

这些错误信息意味着你安装的一些Python包需要的版本与你当前安装的版本不兼容。你需要升级相应的包，以满足这些包的要求。例如，你可以使用以下命令升级numpy包：

pip install --upgrade numpy

同样的方式也可以升级其他的包。如果你想要同时升级多个包，你可以在命令行中列出它们的名称，以空格分隔。例如：

pip install --upgrade numpy matplotlib ml-dtypes pandas tensorflow-intel

这将升级numpy, matplotlib, ml-dtypes, pandas和tensorflow-intel这五个包。