给出主要的安装过程：
1、
下载anaconda最新版的
https://www.anaconda.com/products/distribution#Downloads
2、
执行exe文件
3、
在开始菜单
点击 Anaconda Prompt(Anaconda3)
进入
(base) C:Userslenovo>
执行命令
(base) C:Userslenovo> conda env list
4、
使用命令conda create -n tensorflow python=3.7然后新建一个名为tensorflow的虚拟环境
(base) C:Userslenovo> conda create -n tensorflow python=3.9
****耐心等待执行结束****
5、
上一步完成后，进入TensorFlow环境
(base) C:Userslenovo> activate tensorflow
(tensorflow) C:Userslenovo>
6、
安装最新版TensorFlow
(tensorflow) C:Userslenovo> pip install tensorflow
7、
检查是否安装成功
(tensorflow) C:Userslenovo> python
Python 3.9.12 (main, Apr 4 2022, 05:22:27) [MSC v.1916 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
>>>
>>> import tensorflow as tf
>>> print(tf.__version__)
2.8.0
>>>
>>>
****安装成功****
8、
异常：缺少的windows dll文件，主要是GPU要用到的。
cudart64_110.dll、nvcuda.dll
下载文件放入windows系统目录
>>> import tensorflow as tf
2022-04-09 19:24:59.573250: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2022-04-09 19:24:59.574746: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
>>>
>>> hello = tf.constant('hello, tensorflow')
2022-04-09 19:35:37.180850: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found
2022-04-09 19:35:37.181052: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
2022-04-09 19:35:37.190534: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-5A4P6CS
2022-04-09 19:35:37.190969: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: DESKTOP-5A4P6CS
2022-04-09 19:35:37.191730: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
>>>