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回退 'Pull Request !703 : modify version number'
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leonwanghui
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README.md
18
README.md
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@ -29,7 +29,7 @@ enrichment of the AI software/hardware application ecosystem.
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<img src="docs/MindSpore-architecture.png" alt="MindSpore Architecture" width="600"/>
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For more details please check out our [Architecture Guide](https://www.mindspore.cn/docs/en/0.2.0-alpha/architecture.html).
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For more details please check out our [Architecture Guide](https://www.mindspore.cn/docs/en/0.1.0-alpha/architecture.html).
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### Automatic Differentiation
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@ -76,7 +76,7 @@ For installation using `pip`, take `CPU` and `Ubuntu-x86` build version as an ex
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1. Download whl from [MindSpore download page](https://www.mindspore.cn/versions/en), and install the package.
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```
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pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/0.2.0-alpha/MindSpore/cpu/ubuntu-x86/mindspore-0.2.0-cp37-cp37m-linux_x86_64.whl
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pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/0.1.0-alpha/MindSpore/cpu/ubuntu-x86/mindspore-0.1.0-cp37-cp37m-linux_x86_64.whl
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```
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2. Run the following command to verify the install.
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@ -96,10 +96,10 @@ currently the containerized build options are supported as follows:
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| Hardware Platform | Docker Image Repository | Tag | Description |
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| :---------------- | :---------------------- | :-- | :---------- |
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| CPU | `mindspore/mindspore-cpu` | `0.2.0-alpha` | Production environment with pre-installed MindSpore `0.2.0-alpha` CPU release. |
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| CPU | `mindspore/mindspore-cpu` | `0.1.0-alpha` | Production environment with pre-installed MindSpore `0.1.0-alpha` CPU release. |
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| | | `devel` | Development environment provided to build MindSpore (with `CPU` 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 `CPU` backend. |
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| GPU | `mindspore/mindspore-gpu` | `0.2.0-alpha` | Production environment with pre-installed MindSpore `0.2.0-alpha` GPU release. |
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| GPU | `mindspore/mindspore-gpu` | `0.1.0-alpha` | Production environment with pre-installed MindSpore `0.1.0-alpha` 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` backend. |
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| Ascend | <center>—</center> | <center>—</center> | Coming soon. |
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@ -108,8 +108,8 @@ currently the containerized build options are supported as follows:
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For `CPU` backend, you can directly pull and run the image using the below command:
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```
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docker pull mindspore/mindspore-cpu:0.2.0-alpha
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docker run -it mindspore/mindspore-cpu:0.2.0-alpha python -c 'import mindspore'
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docker pull mindspore/mindspore-cpu:0.1.0-alpha
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docker run -it mindspore/mindspore-cpu:0.1.0-alpha python -c 'import mindspore'
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```
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* GPU
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@ -126,8 +126,8 @@ currently the containerized build options are supported as follows:
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Then you can pull and run the image using the below command:
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```
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docker pull mindspore/mindspore-gpu:0.2.0-alpha
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docker run -it --runtime=nvidia --privileged=true mindspore/mindspore-gpu:0.2.0-alpha /bin/bash
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docker pull mindspore/mindspore-gpu:0.1.0-alpha
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docker run -it --runtime=nvidia --privileged=true mindspore/mindspore-gpu:0.1.0-alpha /bin/bash
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```
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To test if the docker image works, please execute the python code below and check the output:
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@ -161,7 +161,7 @@ please check out `docker` folder for the details.
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## Quickstart
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See the [Quick Start](https://www.mindspore.cn/tutorial/en/0.2.0-alpha/quick_start/quick_start.html)
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See the [Quick Start](https://www.mindspore.cn/tutorial/en/0.1.0-alpha/quick_start/quick_start.html)
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to implement the image classification.
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## Docs
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@ -1,4 +1,4 @@
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# Release 0.2.0-alpha
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# Release 0.1.0-alpha
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## Main Features
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4
build.sh
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build.sh
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@ -433,9 +433,9 @@ build_predict()
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cd "${BASEPATH}/predict/output/"
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if [[ "$PREDICT_PLATFORM" == "x86_64" ]]; then
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tar -cf MSPredict-0.2.0-linux_x86_64.tar.gz include/ lib/ --warning=no-file-changed
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tar -cf MSPredict-0.1.0-linux_x86_64.tar.gz include/ lib/ --warning=no-file-changed
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elif [[ "$PREDICT_PLATFORM" == "arm64" ]]; then
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tar -cf MSPredict-0.2.0-linux_aarch64.tar.gz include/ lib/ --warning=no-file-changed
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tar -cf MSPredict-0.1.0-linux_aarch64.tar.gz include/ lib/ --warning=no-file-changed
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fi
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echo "success to build predict project!"
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}
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@ -7,11 +7,11 @@ This folder hosts all the `Dockerfile` to build MindSpore container images with
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* CPU
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```
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cd mindspore-cpu/0.2.0-alpha && docker build . -t mindspore/mindspore-cpu:0.2.0-alpha
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cd mindspore-cpu/0.1.0-alpha && docker build . -t mindspore/mindspore-cpu:0.1.0-alpha
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```
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* GPU
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```
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cd mindspore-gpu/0.2.0-alpha && docker build . -t mindspore/mindspore-gpu:0.2.0-alpha
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cd mindspore-gpu/0.1.0-alpha && docker build . -t mindspore/mindspore-gpu:0.1.0-alpha
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```
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@ -64,4 +64,4 @@ RUN mkdir -pv /root/.pip \
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&& echo "index-url=http://mirrors.aliyun.com/pypi/simple/" >> /root/.pip/pip.conf
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# Install MindSpore cpu whl package
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RUN pip install --no-cache-dir https://ms-release.obs.cn-north-4.myhuaweicloud.com/0.2.0-alpha/MindSpore/cpu/ubuntu-x86/mindspore-0.2.0-cp37-cp37m-linux_x86_64.whl
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RUN pip install --no-cache-dir https://ms-release.obs.cn-north-4.myhuaweicloud.com/0.1.0-alpha/MindSpore/cpu/ubuntu-x86/mindspore-0.1.0-cp37-cp37m-linux_x86_64.whl
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@ -80,4 +80,4 @@ RUN cd /tmp \
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&& rm -f /tmp/openmpi-3.1.5.tar.gz
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# Install MindSpore cuda-10.1 whl package
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RUN pip install --no-cache-dir https://ms-release.obs.cn-north-4.myhuaweicloud.com/0.2.0-alpha/MindSpore/gpu/cuda-10.1/mindspore-0.2.0-cp37-cp37m-linux_x86_64.whl
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RUN pip install --no-cache-dir https://ms-release.obs.cn-north-4.myhuaweicloud.com/0.1.0-alpha/MindSpore/gpu/cuda-10.1/mindspore-0.1.0-cp37-cp37m-linux_x86_64.whl
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2
setup.py
2
setup.py
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@ -23,7 +23,7 @@ from setuptools import setup, find_packages
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from setuptools.command.egg_info import egg_info
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from setuptools.command.build_py import build_py
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version = '0.2.0'
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version = '0.1.0'
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backend_policy = os.getenv('BACKEND_POLICY')
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commit_id = os.getenv('COMMIT_ID').replace("\n", "")
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