解決問題
![](https://img.laitimes.com/img/__Qf2AjLwojIjJCLyojI0JCLicmbw5CZlBDMmNDN2UGZ3YDOhNjY0QzN0kTNjVTO5YmZ1AjY08CX5d2bs92Yl1iclB3bsVmdlR2LcNWaw9CXt92Yu4GZjlGbh5yYjV3Lc9CX6MHc0RHaiojIsJye.png)
he conflict is caused by:
tensorflow 2.5.0 depends on keras—nightly=2.5.0.dev
tensorflow 2.4.2 depends on tensorflow—estimator<2.5.0 and >=2.4.0
tensorflow 2.4.1 depends on tensorflow—estimator<2.5.0 and >=2.4.0
tensorflow 2.4.0 depends on tensorflow—estimator<2.5.0 and >=2.4.0rc0
tensorflow 2.3.3 depends on tensorflow—estimator<2.4.0 and >=2.3.0
tensorflow 2.3.2 depends on tensorflow—estimator<2.4.0 and >=2.3.0
tensorflow 2.3.1 depends on tensorflow—estimator<2.4.0 and >=2.3.0
tensorflow 2.3.0 depends on tensorflow—estimator<2.4.0 and >=2.3.0
tensorflow 2.2.3 depends on tensorflow—estimator<2.3.0 and >=2.2.0
tensorflow 2.2.2 depends on tensorflow—estimator<2.3.0 and >=2.2.0
tensorflow 2.2.1 depends on tensorflow—estimator<2.3.0 and >=2.2.0
tensorflow 2.2.0 depends on tensorflow—estimator<2.3.0 and >=2.2.0
To fix this you could try to:
1. loosen the range of package versions you've specified
2. remove package versions to allow pip attempt to solve the dependency conflict
解決思路
要解決這個問題,你可以嘗試:
1. 放寬您指定的包版本的範圍
2. 删除包版本以允許PIP嘗試解決依賴項沖突
解決方法
參考文章:成功解決WARNING: Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after co
https://yunyaniu.blog.csdn.net/article/details/119523263