关于示例代码版本落后，无法运行等问题About the example code version backward, can not run and other issues
AntyRia opened this issue · comments
@ver217
你好，我是在slack上按照你们同事的指引，来联系你提交一些问题。
Hi, I am contacting you to submit some questions according to the guidelines of your colleagues on slack.
你们 EnergonAI仓库的示例们：
Examples from your EnergonAI repository:
大多数都采用了过时的写法，比如vit：
Most are written in outdated ways, such as vit:
这个InferenceEngine是通过from energonai.engine import InferenceEngine进行导入，但是很遗憾的是在energonai.engine代码中并没有发现这个依赖：
This InferenceEngine is imported via from energonai.engine import InferenceEngine, but unfortunately this dependency is not found in the energonai.engine code:
希望你们可以尽快更新，并及时向我反馈。如果更新计划暂时位于等待队列，我希望可以向我提供一个简单的图像（例如resnet在cifar10）或音频（pann在audioset）分类任务的使用示例，对我来说十分重要。
I hope you can update as soon as possible and let me know in time. If the update schedule is temporarily in the waiting queue, I hope it would be important for me to provide an example of the use of a simple image (e.g. resnet on cifar10) or audio (pann on audioset) classification task.
Hi @AntyRia Thank you for your attention.
We are in the process of refactoring our inference code and will update it in the https://github.com/hpcaitech/ColossalAI/tree/main/colossalai/inference
This is still a work in progress, and perhaps a more polished version will be available in a month or two.
Hi @AntyRia Thank you for your attention. We are in the process of refactoring our inference code and will update it in the https://github.com/hpcaitech/ColossalAI/tree/main/colossalai/inference This is still a work in progress, and perhaps a more polished version will be available in a month or two.
Hi @AntyRia Thank you for your attention. We are in the process of refactoring our inference code and will update it in the https://github.com/hpcaitech/ColossalAI/tree/main/colossalai/inference This is still a work in progress, and perhaps a more polished version will be available in a month or two.
thanks,I see. I hope it won't take so long to reply to such a simple question next time. It will damage your brand image