Traceback (most recent call last): File "c:\Rlearn\Mode.py", line 6, in <module> import tensorflow as tf File "C:\Rlearn\learning\lib\site-packages\tensorflow\__init__.py", line 37, in <module> from tensorflow.python.tools import module_util as _module_util File "C:\Rlearn\learning\lib\site-packages\tensorflow\python\__init__.py", line 36, in <module> from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow File "C:\Rlearn\learning\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 26, in <module> self_check.preload_check() File "C:\Rlearn\learning\lib\site-packages\tensorflow\python\platform\self_check.py", line 50, in preload_check raise ImportError( ImportError: Could not find the DLL(s) 'msvcp140_1.dll'. TensorFlow requires that these DLLs be installed in a directory that is named in your %PATH% environment variable. You may install these DLLs by downloading "Microsoft C++ Redistributable for Visual Studio 2015, 2017 and 2019" for your platform from this URL: https://support.microsoft.com/help/2977003/the-latest-supported-visual-c-downloads
时间: 2023-09-06 19:13:24 浏览: 162
这是一个错误信息,提示你缺少 'msvcp140_1.dll' 动态链接库文件。TensorFlow 需要这些 DLL 文件在你的 %PATH% 环境变量指定的目录中。你可以从链接(https://support.microsoft.com/help/2977003/the-latest-supported-visual-c-downloads)下载并安装 "Microsoft C++ Redistributable for Visual Studio 2015, 2017 and 2019",以解决此问题。
相关问题
Traceback (most recent call last): File "D:\pythonProject2\main.py", line 1, in <module> import tensorflow as tf ModuleNotFoundError: No module named 'tensorflow'
这个错误信息说明你的代码中使用了 TensorFlow 库,但是你的电脑上没有安装 TensorFlow 库。你需要先安装 TensorFlow 库,可以通过以下命令在命令行中进行安装:
```
pip install tensorflow
```
如果你使用的是 Anaconda,可以通过以下命令进行安装:
```
conda install tensorflow
```
安装完成后,再重新运行你的代码就可以了。
Traceback (most recent call last): File "F:\pythonProject\test.py", line 1, in <module> import tensorflow as tf
这个错误通常是由于文件编码问题引起的。解决方法如下:
1.在文件开头添加以下代码:
```python
# -*- coding: utf-8 -*-
```
2.检查文件编码是否为UTF-8,如果不是,可以使用文本编辑器将其转换为UTF-8。
3.如果以上两种方法都无法解决问题,可以尝试使用以下命令安装TensorFlow:
```python
pip install --upgrade --force-reinstall tensorflow
```
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