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前几天下载了cpu-noavx-devel-latest版本的docker, 运行了quick_start,总体比较顺利,有两个小建议:
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谢谢提出很好的建议。关于第一个问题,您说得对,确实应该保证demo能够直接使用。quick_start那个demo属于旧版本api的demo,我们准备删掉了(详见这个issue:#1725 )。
关于第二个问题,现在新版api把模型保存在哪里是自己定义的。详情请见:https://github.com/PaddlePaddle/Paddle/blob/develop/demo/mnist/api_train_v2.py#L98
最后我们更新了最新的使用docker运行PaddlePaddle的方法,欢迎阅读以及提建议! https://github.com/PaddlePaddle/Paddle/blob/develop/doc/getstarted/build_and_install/docker_install_en.rst
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@helinwang 能否提供docker 镜像的离线安装包 从docker hub上下载实在是太慢且容易连接不上
@wanghaisheng 可以使用paddle的docker registry,在国内可以获得较快的访问速度:
docker pull docker.paddlepaddle.org/paddle:0.10.0rc2-noavx
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前几天下载了cpu-noavx-devel-latest版本的docker, 运行了quick_start,总体比较顺利,有两个小建议:
同时sh指向bash 而非默认dash.
The text was updated successfully, but these errors were encountered: