MindSpore SciAI Installation

System Environment Information Confirmation

The hardware platform should be Ascend or GPU.
See MindSpore Installation Guide to install MindSpore. The versions of MindSpore Elec and MindSpore must be consistent.
All other dependencies are included in requirements.txt.

Installation

You can install MindSpore SciAI either by pip or by source code.

Method 1: Install With Pip

This method installs SciAI from .whl package automatically downloaded from MindSpore website, which does not require the download and compilation of source code.

pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.2.0/MindScience/sciai/gpu/{arch}/cuda-11.1/sciai-{version}-cp37-cp37m-linux_{arch}.whl -i https://pypi.tuna.tsinghua.edu.cn/simple

When the network is connected, dependencies of the SciAI installation package are automatically downloaded during the .whl package installation. For details about dependencies, see setup.py.

{version} denotes the version of SciAI. For example, when you are installing SciAI 0.1.0, {version} should be 0.1.0.

{arch} denotes the system architecture. For example, the Linux system you are using is x86 architecture 64-bit, {arch} should be x86_64. If the system is ARM architecture 64-bit, then it should be aarch64.

The following table provides the corresponding installation commands to each architecture and Python version.

Device	Architecture	Python	Command
Ascend	x86_64	Python=3.7	`pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.2.0/MindScience/sciai/gpu/x86_64/cuda-11.1/sciai-0.1.0-cp37-cp37m-linux_x86_64.whl -i https://pypi.tuna.tsinghua.edu.cn/simple`
	aarch64	Python=3.7	`pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.2.0/MindScience/sciai/ascend/aarch64/sciai-0.1.0-cp37-cp37m-linux_aarch64.whl -i https://pypi.tuna.tsinghua.edu.cn/simple`
GPU	x86_64	Python=3.7	`pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.2.0/MindScience/sciai/gpu/x86_64/cuda-11.1/sciai-0.1.0-cp37-cp37m-linux_x86_64.whl -i https://pypi.tuna.tsinghua.edu.cn/simple`

Note: If you have other MindScience package(s) installed in your conda or python env, such as MindElec, MindFlow , MindSponge, please uninstall the MindScience package(s) in the environment first to avoid pip behavior conflicts.

Method 2: Install From Source Code

Clone the source code from the Git repository of MindScience.

cd ~
git clone https://gitee.com/mindspore/mindscience.git

Build SciAI with script build.sh.
```
cd mindscience/SciAI
bash build.sh -j8
```
Install the .whl package
```
bash install.sh
```

Installation Verification

To verify the installation, run the following commands. If the error message No module named 'sciai' is not displayed, the installation is successful.

python -c 'import sciai'