我是靠谱客的博主 靓丽大米，最近开发中收集的这篇文章主要介绍Debug | ERROR: Could not find a version that satisfies the requirement tensorflow，觉得挺不错的，现在分享给大家，希望可以做个参考。
概述
报错信息：
安装pip install tensorflow==1.15.4的时候
遇到了如下报错：
ERROR: Could not find a version that satisfies the requirement tensorflow==1.15.4
问题分析：
如果排除网络问题后，多半就是版本兼容问题了，有几个可能：
Tensorflow 和 Python版本匹配：
可以参见这篇博客Tensorflow | TF与Keras版本对应，可以看到Tensorflow与Python版本对应，主要都是Python3.6-3.7版本。
| Framework(TF) | Env name (–env parameter) | Description | Docker Image | Packages and Nvidia Settings |
|---|---|---|---|---|
| TensorFlow 2.2 | tensorflow-2.2 | TensorFlow 2.2.0 + Keras 2.3.1 on Python 3.7. | floydhub/tensorflow | TensorFlow-2.2 |
| TensorFlow 2.1 | tensorflow-2.1 | TensorFlow 2.1.0 + Keras 2.3.1 on Python 3.6. | floydhub/tensorflow | TensorFlow-2.1 |
| TensorFlow 2.0 | tensorflow-2.0 | TensorFlow 2.0.0 + Keras 2.3.1 on Python 3.6. | floydhub/tensorflow | TensorFlow-2.0 |
| TensorFlow 1.15 | tensorflow-1.15 | TensorFlow 1.15.0 + Keras 2.3.1 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.15 |
| TensorFlow 1.14 | tensorflow-1.14 | TensorFlow 1.14.0 + Keras 2.2.5 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.14 |
| TensorFlow 1.13 | tensorflow-1.13 | TensorFlow 1.13.0 + Keras 2.2.4 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.13 |
| TensorFlow 1.12 | tensorflow-1.12 | TensorFlow 1.12.0 + Keras 2.2.4 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.12 |
| tensorflow-1.12:py2 | TensorFlow 1.12.0 + Keras 2.2.4 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.11 | tensorflow-1.11 | TensorFlow 1.11.0 + Keras 2.2.4 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.11 |
| tensorflow-1.11:py2 | TensorFlow 1.11.0 + Keras 2.2.4 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.10 | tensorflow-1.10 | TensorFlow 1.10.0 + Keras 2.2.0 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.10 |
| tensorflow-1.10:py2 | TensorFlow 1.10.0 + Keras 2.2.0 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.9 | tensorflow-1.9 | TensorFlow 1.9.0 + Keras 2.2.0 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.9 |
| tensorflow-1.9:py2 | TensorFlow 1.9.0 + Keras 2.2.0 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.8 | tensorflow-1.8 | TensorFlow 1.8.0 + Keras 2.1.6 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.8 |
| tensorflow-1.8:py2 | TensorFlow 1.8.0 + Keras 2.1.6 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.7 | tensorflow-1.7 | TensorFlow 1.7.0 + Keras 2.1.6 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.7 |
| tensorflow-1.7:py2 | TensorFlow 1.7.0 + Keras 2.1.6 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.5 | tensorflow-1.5 | TensorFlow 1.5.0 + Keras 2.1.6 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.5 |
| tensorflow-1.5:py2 | TensorFlow 1.5.0 + Keras 2.1.6 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.4 | tensorflow-1.4 | TensorFlow 1.4.0 + Keras 2.0.8 on Python 3.6. | floydhub/tensorflow | |
| tensorflow-1.4:py2 | TensorFlow 1.4.0 + Keras 2.0.8 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.3 | tensorflow-1.3 | TensorFlow 1.3.0 + Keras 2.0.6 on Python 3.6. | floydhub/tensorflow | |
| tensorflow-1.3:py2 | TensorFlow 1.3.0 + Keras 2.0.6 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.2 | tensorflow-1.2 | TensorFlow 1.2.0 + Keras 2.0.6 on Python 3.5. | floydhub/tensorflow | |
| tensorflow-1.2:py2 | TensorFlow 1.2.0 + Keras 2.0.6 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.1 | tensorflow | TensorFlow 1.1.0 + Keras 2.0.6 on Python 3.5. | floydhub/tensorflow | |
| tensorflow:py2 | TensorFlow 1.1.0 + Keras 2.0.6 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.0 | tensorflow-1.0 | TensorFlow 1.0.0 + Keras 2.0.6 on Python 3.5. | floydhub/tensorflow | |
| tensorflow-1.0:py2 | TensorFlow 1.0.0 + Keras 2.0.6 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 0.12 | tensorflow-0.12 | TensorFlow 0.12.1 + Keras 1.2.2 on Python 3.5. | floydhub/tensorflow | |
| tensorflow-0.12:py2 | TensorFlow 0.12.1 + Keras 1.2.2 on Python 2. | floydhub/tensorflow |
Python 位数对应
博主就是遇见了这个问题，Tensorflow 暂不支持 32 位，windows中需要Python 64位的
cmd中输入python就可以看到自己的版本和位数。
如果是在jupyter notebook中
import sys
sys.version
'3.8.5 (default, Sep
3 2020, 21:29:08) [MSC v.1916 64 bit (AMD64)]'
如果位数不符合，需要重新下载，或者搭建虚拟环境~
解决方案：
在找到自己对应版本和位数后，要么重新装，要么安装虚拟环境，比如conda create -n tf python=3.7，然后再安装tensorflow多半就没问题了
最后
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