delete ascend docker
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@ -153,7 +153,6 @@ currently the containerized build options are supported as follows:
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| GPU | `mindspore/mindspore-gpu` | `x.y.z` | Production environment with pre-installed MindSpore `x.y.z` GPU release. |
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| | | `devel` | Development environment provided to build MindSpore (with `GPU CUDA10.1` backend) from the source, refer to <https://www.mindspore.cn/install/en> for installation details. |
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| | | `runtime` | Runtime environment provided to install MindSpore binary package with `GPU CUDA10.1` backend. |
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| Ascend | <center>—</center> | <center>—</center> | Coming soon. |
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> **NOTICE:** For GPU `devel` docker image, it's NOT suggested to directly install the whl package after building from the source, instead we strongly RECOMMEND you transfer and install the whl package inside GPU `runtime` docker image.
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@ -150,7 +150,6 @@ MindSpore的Docker镜像托管在[Docker Hub](https://hub.docker.com/r/mindspore
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| GPU | `mindspore/mindspore-gpu` | `x.y.z` | 已经预安装MindSpore `x.y.z` GPU版本的生产环境。 |
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| | | `devel` | 提供开发环境从源头构建MindSpore(`GPU CUDA10.1`后端)。安装详情请参考<https://www.mindspore.cn/install> 。 |
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| | | `runtime` | 提供运行时环境安装MindSpore二进制包(`GPU CUDA10.1`后端)。 |
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| Ascend | <center>—</center> | <center>—</center> | 即将推出,敬请期待。 |
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> **注意:** 不建议从源头构建GPU `devel` Docker镜像后直接安装whl包。我们强烈建议您在GPU `runtime` Docker镜像中传输并安装whl包。
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