suntao2015005848
suntao2015005848
目前paddlehub2是基于CUDA下的paddlepaddle-gpu下实现预测和训练，那如果环境为国产驱动下的gpu资源例如海光 DCU、昇腾 NPU、Graphcore IPU、寒武纪 MLU、百度昆仑等，paddlehub2和paddlehub1.8是否适配这些版本的下的paddlepaddle来进行训练和预测。烦请hub的技术解惑。非常感谢。
1）PaddlePaddle版本：docker环境下的 ，PaddlePaddle-mlu==0.0.0 2) PaddleHub版本：2.1.0 2）系统环境：centos7.6 linux 任务启动日志： ``` /opt/py37env/lib/python3.7/site-packages/paddle/fluid/framework.py:193: UserWarning: We will fallback into legacy dygraph on NPU/XPU/MLU/IPU/ROCM devices. Because we only support new eager dygraph mode on CPU/GPU currently....
paddlehub 2.0.0rc0 paddlenlp 2.0.7 paddlepaddle-gpu 2.0.2.post101 在运行官方的：PaddleHub2.0——使用动态图版预训练模型ERNIE实现快递单时候，执行到 model = hub.Module(name='ernie', task='token-cls', label_map=label_map) 报一下错误： `[2023-03-23 17:06:29,394] [ WARNING] - The _initialize method in HubModule will soon be deprecated, you can use...
在使用Pipline训练NBEATSModel模型后： `{"model_type": "forecasting", "ancestor_classname_set": ["NBEATSModel", "PaddleBaseModelImpl", "PaddleBaseModel", "BaseModel", "Trainable", "ABC", "object"], "modulename": "paddlets.models.forecasting.dl.nbeats", "size": {"in_chunk_len": 288, "out_chunk_len": 24, "skip_chunk_len": 0}, "input_data": {"target_dim": 1, "known_cov_dim": 3}}` 递归预测测试代码： ``` #模型直接预测 import pandas...
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