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看到升级说明里,2.1.1新增了 Support server model saving in Homo-NN ML
aggregator support aggregation of torch.bfloat16 data type
2.2 Deployment
Upgrade from Python 3.8 to Python 3.10 Upgrade the PyTorch version to 2.x 请问目前如果测试使用的是2.1的话,升级到2.2有什么注意事项,或者什么操作方法
The text was updated successfully, but these errors were encountered:
需要升级下将fate 的python版本升级至Python 3.10,PyTorch依赖包升级至2.x,另外如果想用2.2版本的算法包的话,需要将fate中关于算法部分的代码进行替换,可以去2.2的tag中下载关于算法部分的代码
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看到升级说明里,2.1.1新增了
Support server model saving in Homo-NN
ML
aggregator support aggregation of torch.bfloat16 data type
2.2
Deployment
Upgrade from Python 3.8 to Python 3.10
Upgrade the PyTorch version to 2.x
请问目前如果测试使用的是2.1的话,升级到2.2有什么注意事项,或者什么操作方法
The text was updated successfully, but these errors were encountered: