Comments (4)
感谢对我们的关注,昆仑团队给我们反馈正在适配算子,有进一步消息会及时给你反馈。
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我们的团队尝试在XPU进行训练和推理,验证可以跑通,直接使用对应的包即可。
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请问怎么set devices呀?
具体的说,我希望实现a)指定4张XPU种的某一张运行类似torch.device('cuda:0')这样 b)将一个长序列放到4张卡上跑(毕竟一张卡显存只有16GB)
以及XPU能跑OpenMM relax吗?
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使用这个产出包替换原来的Paddle产出包即可使用单卡推理 wget https://baidu-kunlun-public.su.bcebos.com/KunlunPaddle/paddle-2.3-models/paddlepaddle_xpu-2.3.0-cp37-cp37m-linux_x86_64.whl
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Related Issues (20)
- retrosynthesis module didn't work properly
- Get Embedding Layer HOT 2
- Could you please provide the CASP14 test set which you evaluated on? HOT 2
- GEM pretrain model. HOT 1
- GEM does't work HOT 2
- 在使用paddlehelix安装时,sh scripts/build.sh,会出现make: *** makefile。 停止。的错误
- 使用命令 pip install --upgrade git+https~ 时候会出现sklearn is depreciation use scikit-learn instead
- when will Code for "Multimodal Pre-Training Model for Sequence-based Prediction of Protein-Protein Interaction" be released?
- Encountered ImportError when using HelixFold-Single. HOT 1
- 运行JTVAE的代码,preprocess没有问题,训练代码报错,使用的是你们官方提供的数据集 HOT 1
- how to inference with DCU
- ask for the generation of processed.pkl in the geomGCL HOT 1
- 运行tutorial的时候出现与cuda有关的error HOT 1
- 权重
- Get distogram prediction from Helix-single
- paddlehelix安装问题 HOT 4
- 加载GEM pretrain model提示模型shape和权重shape不一致 HOT 1
- 运行脚本train_cls.py报错:AttributeError: type object 'paddle.fluid.libpaddle.VarBase' has no attribute '__getitem__'
- 运行脚本train_cls.py报错,AttributeError: type object 'paddle.fluid.libpaddle.VarBase' has no attribute '__getitem__'
- 运行helixfold-single-inference.py 报错 HOT 1
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