安装完后有些库冲突。
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
dopamine-rl 4.1.2 requires gymnasium>=1.0.0, but you have gymnasium 0.29.0 which is incompatible.
bigframes 1.36.0 requires rich<14,>=12.4.4, but you have rich 14.0.0 which is incompatible.
plotnine 0.14.5 requires matplotlib>=3.8.0, but you have matplotlib 3.7.5 which is incompatible.
pylibcugraph-cu12 24.12.0 requires pylibraft-cu12==24.12., but you have pylibraft-cu12 25.2.0 which is incompatible.
pylibcugraph-cu12 24.12.0 requires rmm-cu12==24.12., but you have rmm-cu12 25.2.0 which is incompatible.
mlxtend 0.23.4 requires scikit-learn>=1.3.1, but you have scikit-learn 1.2.2 which is incompatible.
=================================================
Successfully installed accelerate-1.6.0 albumentations-1.4.24 doc-page-extractor-0.1.2 doclayout_yolo-0.0.3 entmax-1.3 munch-4.0.0 nvidia-cublas-cu12-12.4.5.8 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-nvjitlink-cu12-12.4.127 pillow-10.4.0 pix2tex-0.1.4 thop-0.1.1.post2209072238 timm-0.5.4 transformers-4.47.0 x-transformers-0.15.0
Note: you may need to restart the kernel to use updated packages.
可否对一些依赖不要强制到版本。。
安装完后有些库冲突。
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
dopamine-rl 4.1.2 requires gymnasium>=1.0.0, but you have gymnasium 0.29.0 which is incompatible.
bigframes 1.36.0 requires rich<14,>=12.4.4, but you have rich 14.0.0 which is incompatible.
plotnine 0.14.5 requires matplotlib>=3.8.0, but you have matplotlib 3.7.5 which is incompatible.
pylibcugraph-cu12 24.12.0 requires pylibraft-cu12==24.12., but you have pylibraft-cu12 25.2.0 which is incompatible.
pylibcugraph-cu12 24.12.0 requires rmm-cu12==24.12., but you have rmm-cu12 25.2.0 which is incompatible.
mlxtend 0.23.4 requires scikit-learn>=1.3.1, but you have scikit-learn 1.2.2 which is incompatible.
=================================================
Successfully installed accelerate-1.6.0 albumentations-1.4.24 doc-page-extractor-0.1.2 doclayout_yolo-0.0.3 entmax-1.3 munch-4.0.0 nvidia-cublas-cu12-12.4.5.8 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-nvjitlink-cu12-12.4.127 pillow-10.4.0 pix2tex-0.1.4 thop-0.1.1.post2209072238 timm-0.5.4 transformers-4.47.0 x-transformers-0.15.0
Note: you may need to restart the kernel to use updated packages.
可否对一些依赖不要强制到版本。。