成功解決To fix this you could try to: 1. loosen the range of package versions you've specified

目錄

解決問題?

?解決思路

解決方法

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解決問題?

?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范圍
2. 刪除包版本以允許PIP嘗試解決依賴項(xiàng)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

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