# MindSpore Flow Installation

[![View Source On Gitee](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/r2.1/resource/_static/logo_source_en.svg)](https://gitee.com/mindspore/docs/blob/r2.1/docs/mindflow/docs/source_en/mindflow_install.md)  

## System Environment Information Confirmation

- The hardware platform should be Ascend, GPU.
- See our [MindSpore Installation Guide](https://www.mindspore.cn/install/en) to install MindSpore.
- All other dependencies are included in [requirements.txt](https://gitee.com/mindspore/mindscience/blob/r0.3/MindFlow/requirements.txt).

## Installation

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

### Installation by pip

```bash
export MS_VERSION=2.0.0a0
export MindFlow_VERSION=0.1.0a0
# gpu and ascend are supported
export DEVICE_NAME=gpu
# cuda-10.1 and cuda-11.1 are supported
export CUDA_VERSION=cuda-11.1

# Python3.7
pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/${MS_VERSION}/MindScience/${DEVICE_NAME}/x86_64/${CUDA_VERSION}/mindflow_${DEVICE_NAME}-${MindFlow_VERSION}-cp37-cp37m-linux_x86_64.whl --trusted-host ms-release.obs.cn-north-4.myhuaweicloud.com -i https://pypi.tuna.tsinghua.edu.cn/simple
# Python3.8
pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/${MS_VERSION}/MindScience/${DEVICE_NAME}/x86_64/${CUDA_VERSION}/mindflow_${DEVICE_NAME}-${MindFlow_VERSION}-cp38-cp38-linux_x86_64.whl --trusted-host ms-release.obs.cn-north-4.myhuaweicloud.com -i https://pypi.tuna.tsinghua.edu.cn/simple
# Python3.9
pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/${MS_VERSION}/MindScience/${DEVICE_NAME}/x86_64/${CUDA_VERSION}/mindflow_${DEVICE_NAME}-${MindFlow_VERSION}-cp39-cp39-linux_x86_64.whl --trusted-host ms-release.obs.cn-north-4.myhuaweicloud.com -i https://pypi.tuna.tsinghua.edu.cn/simple
```

### Installation by Source Code

1. Download source code from Gitee.

   ```bash
   git clone -b r0.3 https://gitee.com/mindspore/mindscience.git
   cd {PATH}/mindscience/MindFlow
   ```

2. Compile in Ascend backend.

   ```bash
   bash build.sh -e ascend -j8
   ```

3. Compile in GPU backend.

   ```bash
   export CUDA_PATH={your_cuda_path}
   bash build.sh -e GPU -j8
   ```

4. Install the compiled .whl file.

   ```bash
   cd {PATH}/mindscience/MindFLow/output
   pip install mindflow_*.whl
   ```

## Installation Verification

Successfully installed, if there is no error message such as `No module named 'mindflow'` when execute the following command:

```bash
python -c 'import mindflow'
```