Comments (4)
Thanks for your advice. We are currently working on fixing pytorch dependencies to a higher version, 1.11.0 and 1.12.0.
By the way, torch<=1.10.0 is tested, while torch>1.10.0 has not been tested yet.
However, generally, it is not a big issue for most of the code in DI-engine. If you must run DI-engine with torch==1.11.0, it would be fine I guess.
You can temporarily disable the pytorch version requirement in the "setup.py".
Another pytorch dependency is located in DI-treetensor. You have to install it and disable its requirement in "requirement.txt".
Or, you could install torch==1.10.1+cu113 by downloading manually, "https://download.pytorch.org/whl/cu113/torch-1.10.1%2Bcu113-cp38-cp38-win_amd64.whl".
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Thanks for your advice. We are currently working on fixing pytorch dependencies to a higher version, 1.11.0 and 1.12.0. By the way, torch<=1.10.0 is tested, while torch>1.10.0 has not been tested yet.
However, generally, it is not a big issue for most of the code in DI-engine. If you must run DI-engine with torch==1.11.0, it would be fine I guess.
You can temporarily disable the pytorch version requirement in the "setup.py". Another pytorch dependency is located in DI-treetensor. You have to install it and disable its requirement in "requirement.txt".
Or, you could install torch==1.10.1+cu113 by downloading manually, "https://download.pytorch.org/whl/cu113/torch-1.10.1%2Bcu113-cp38-cp38-win_amd64.whl".
因为我的生产环境装了太多的运行库,因此,存在版本冲突的情况下,我先用annaconda给di单独建立一个环境来练习,暂时还不迁入生产。
比如,tianshou是我必须使用的,依赖的gym版本就和di冲突。
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We are also currently working on update gym from 0.20.0 to 0.25.0. Some tests for compatability are being conducted. It would be soon for this update.
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We have upgraded pytorch(1.1.0-1.12.1) and gym(0.25.0) version in above-mentioned PR.
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