TensorFlow与NumPy版本不匹配致初始化失败，无法调用TensorFlow

已完成所有模块及依赖安装，但运行以下代码时无法正常访问TensorFlow：

import numpy as np
import pandas as pd
import sklearn
import tensorflow as tf
import matplotlib.pyplot as plt

# 检查TensorFlow GPU访问权限
print(f"TensorFlow has access to the following devices:\n{tf.config.list_physical_devices()}")

# 查看TensorFlow版本
print(f"TensorFlow version: {tf.__version__}")

报错信息 #

RuntimeError Traceback (most recent call last)RuntimeError: The above exception was the direct cause of the following exception:

File ~/miniforge3/envs/env_new/lib/python3.8/site-packages/tensorflow/python/client/pywrap_tf_session.py:19
     17 # pylint: disable=invalid-import-order,g-bad-import-order, wildcard-import, unused-import
     18 from tensorflow.python import pywrap_tensorflow
---> 19 from tensorflow.python.client._pywrap_tf_session import *
     20 from tensorflow.python.client._pywrap_tf_session import _TF_SetTarget
     21 from tensorflow.python.client._pywrap_tf_session import _TF_SetConfig

ImportError: initialization failed

问题原因 #

经排查，该问题由TensorFlow库与NumPy库版本不匹配导致。

解决方案 #

• 查看当前已安装的TensorFlow和NumPy版本：

  pip show tensorflow numpy
  

• 根据TensorFlow版本安装对应兼容的NumPy版本，常见兼容组合示例：
  • TensorFlow 2.10+：兼容NumPy 1.21.x ~ 1.24.x
  • TensorFlow 2.9：兼容NumPy 1.20.x ~ 1.23.x
• 卸载现有NumPy并安装指定版本：

  pip uninstall -y numpy
  pip install numpy==[替换为对应兼容版本号]
  

• 重新运行原代码，验证TensorFlow是否能正常导入并输出设备信息与版本。

内容的提问来源于stack exchange，提问作者NANDA KIRAN K